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About Our People, Mission, and Vision

What is public health modeling? Public Health Modeling is the study of mathematical relationships that depict, account for, and predict the behavior of real-world processes in health and medicine. Mathematical modeling helps us understand disease mechanisms and health systems to produce better policy insights and predictions, especially when data are sparse. The faculty and trainees of the Public Health Modeling Unit use modeling to predict infectious disease outbreaks, design optimal disease testing policies, inform choices between competing prevention and treatment options, and learn about the spread of ideas and behaviors through social networks. By focusing on the explicit portrayal of real-world processes – their “physics,” their interactions, and their dynamics – and deducing how intervening in those processes may affect the future health of populations, modeling generates new evidence that could not otherwise be obtained.

The observation that motivates us: Many of the most critical public health policy dilemmas and threats to population health cannot be addressed via the traditional forms of scientific investigation. Financial constraints, logistical obstacles, time limitations, and ethical boundaries frequently conspire against the use of observational studies, randomized clinical trials, and other textbook methods.

The mission that guides us: To improve the health of populations by promoting a systems-based approach to public health prediction and policy analysis.

The vision we pursue: We aim to be...
  • a leading innovator group recognized internationally for our work in infectious disease modeling, disease microsimulation, statistical inference, and cost-effectiveness analysis in health and medicine (our research vision);
  • the preeminent development pipeline for public health modeling scholars and practitioners as we provide state-of-the-art training opportunities at the Master, PhD, and post-doctoral levels as well as continuing education programs (our training vision);
  • a hub for engagement with stakeholders, publishing our work in the peer-reviewed literature, disseminating/communicating our findings in the popular press, conducting outreach activities, and offering user-friendly dashboards and practical tools for data visualization and decision support (our outreach vision); and
  • a contributor to outbreak response, ready to re-orient and repurpose our time, attention, and resources in rapid response to public health emergencies (our service vision).

Our Team

  • Public Health Modeling

    • Professor of Public Health (Health Policy), Professor of Management, and Professor in the Institution for Social and Policy Studies; Co-director, Public Health Modeling Concentration; Affiliated Faculty, Yale Institute for Global Health

      The objective that guides Dr. Paltiel's scholarly activities is to promote a reasoned approach to decision making and resource allocation in public health and medicine. Trained in the field of Operations Research, Dr. Paltiel designs and implements policy models and cost-effectiveness analyses. He has a special interest and expertise in HIV/AIDS and has published broadly on the cost-effectiveness of testing, prevention, treatment, and care, both in the United States and around the world.
    • Associate Professor of Biostatistics, Associate Professor of Ecology and Evolutionary Biology, Associate Professor of Management, and Associate Professor of Statistics and Data Science; Co-director, Public Health Modeling Concentration

      Forrest Crawford's work focuses on mathematical and statistical problems related to discrete structures and stochastic processes in epidemiology, public health, biomedicine, and evolutionary science.
    • Assistant Professor of Epidemiology (Environmental Health); Director of Research, Climate Change and Health; Deputy Faculty Director, Climate Change and Health; Affiliated Faculty, Yale Institute for Global Health

      Dr. Chen received his Ph.D. in Environmental Science and Engineering in 2016 from Nanjing University in China. During 2014-2015, he served as a Visiting Scholar at the Columbia University Mailman School of Public Health. Prior to joining the Yale School of Public Health faculty in July 2019, he was an Alexander von Humboldt Postdoc Fellow at Helmholtz Zentrum München-German Center for Environmental Health.Dr. Chen’s research focuses on the intersection of climate change, air pollution, and human health. His work involves applying multidisciplinary approaches in climate and air pollution sciences, exposure assessment, and environmental epidemiology to investigate how climate change may impact human health. Much of this work has been done in China, Europe, and the U.S.
    • Professor of Epidemiology (Microbial Diseases)

      Dr. Cohen is an infectious disease epidemiologist whose primary research focus is tuberculosis. He is particularly interested in understanding how TB drug-resistance and medical comorbidities such as HIV frustrate current efforts to control epidemics, with an ultimate goal of developing more effective approaches to limit the morbidity caused by this pathogen. Dr. Cohen's training is in epidemiology and clinical medicine, and his work includes mathematical modeling, fieldwork, and analysis of programmatic data. His research program is currently funded by NIH and US CDCAwards.
    • Assistant Professor of Biostatistics (Biostatistics); Affiliated Faculty, Yale Institute for Global Health

      Laura Forastiere is an Assistant Professor in the Department of Biostatistics at Yale School of Public Health. Her methodological research is focused on methods for assessing causal inference for evidence-based research, exploring the mechanisms underlying the effect of an intervention including causal pathways through intermediate variables or mechanisms of peer influence and spillover between connected units. Her research explores modeling, inferential, and other methodological issues that often arise in applied problems with complex clustered and network data, and standard statistical theory and methods are no longer adequate to support the goals of the analysis. Laura is eager to apply advanced statistical methodology to provide evidence on effective strategies to improve the health and wellbeing of vulnerable populations. She is particularly interested in exploring behavioral interventions that, relying on theories of behavioral economics and social phycology, exploit social interactions and peer influence among individuals. She is involved in many program evaluations and research studies in low- and middle-income countries on malaria, HIV and other STDs, maternal and child health, nutrition, cognitive development, health insurance and microcredit. Dr. Forastiere received her Ph.D. in statistics from the University of Florence (Italy) and postdoc training in statistics and biostatistics at Harvard University. Prior to joining the Department of Biostatistics at Yale School of Public Health, she was a Postdoctoral Associate in the Yale Institute for Network Science.
    • Associate Professor of Epidemiology (Microbial Diseases); Associate (Adjunct) Professor of Law, Yale Law School; Affiliated Faculty, Program in Addiction Medicine; Co-Director, Global Health Justice Partnership; Affiliated Faculty, Yale Institute for Global Health

      Gregg Gonsalves is an expert in policy modeling on infectious disease and substance use, as well as the intersection of public policy and health equity. His research focuses on the use of quantitative models for improving the response to epidemic diseases. For more than 30 years, he worked on HIV/AIDS and other global health issues with several organizations, including the AIDS Coalition to Unleash Power, the Treatment Action Group, Gay Men’s Health Crisis, and the AIDS and Rights Alliance for Southern Africa. He is a 2011 graduate of Yale College and received his PhD from Yale Graduate School of Arts and Sciences/School of Public Health in 2017. He is currently the public health correspondent for The Nation. He is a 2018 MacArthur Fellow.
    • Associate Professor of Epidemiology (Microbial Diseases); Affiliated Faculty, Yale Institute for Global Health

      Nathan Grubaugh joined the faculty at Yale School of Public Health in 2018. Before going to graduate school, he spent ~7 years working in the biotech industry developing early phase vaccine candidates. He earned his MS in biotechnology from Johns Hopkins University (2011) while conducting research at the NIH and the US Army Research Institute of Infectious Diseases (focus on mosquito-borne virus surveillance). Dr. Grubaugh earned his PhD in microbiology from Colorado State University in 2016 (focus on West Nile virus evolution), and went on to be a postdoctoral fellow at The Scripps Research Institute to study the 2015-2017 Zika virus epidemic. Now at Yale, the Grubaugh Lab uses genomics and phylogenetics to uncover the epidemiological, ecological, and evolutionary determinants of virus outbreaks. They primarily focus on mosquito- and tick-borne viruses, like dengue, West Nile, and Powassan, that are increasingly spreading into new areas and have high outbreak potential. The Grubaugh Lab is diverse and multidisciplinary, including expertise in molecular biology, phylogenetics, statistics, and mathematical modeling. His lab was critical during the COVID-19 response, from designing and evaluating diagnostics (such as SalivaDirect) to establishing the Yale SARS-CoV-2 Genomic Surveillance Initiative to track emerging variants. Expanding on this work, the lab is an academic partner for the Pathogen Genomics Centers of Excellence to foster and improve innovation and technical capacity in pathogen genomics, molecular epidemiology, and bioinformatics to better prevent, control, and respond to microbial threats of public health importance. Read more about their team and work at
    • Professor of Operations

      Professor Manshadi’s research interests include real-time decision-making and dynamic optimization under uncertainty with various applications, such as online markets, health-care operations, and maritime port logistics, as well as matching markets and social networks.
    • William N. and Marie A. Beach Professor of Operations Research and Professor of Public Health; Professor of Engineering; Professor of Public Health

      Edward H. Kaplan obtained his BA from McGill University with First Class Honors in Economic and Urban Geography, and proceeded to graduate study at the Massachusetts Institute of Technology where he completed three masters’ degrees (in Operations Research, City Planning, and Mathematics) in addition to his doctorate in Urban Studies. He currently serves as the William N. and Marie A. Beach Professor of Management Sciences at the Yale School of Management, Professor of Public Health at the Yale School of Medicine, and Professor of Engineering in the Yale School of Engineering and Applied Sciences. An elected member of both the National Academy of Engineering (2003) and the Institute of Medicine (2004), Kaplan is an expert in operations research, mathematical modeling and statistics who studies problems in public policy and management. His recent research has focused on counterterror topics such as the tactical prevention of suicide bombings, bioterror preparedness, and response logistics in the event of a smallpox or anthrax attack. His work on smallpox was awarded the 2003 Koopman Prize of the Institute for Operations Research and the Management Sciences (INFORMS) Military Applications Society, while his models evaluating suicide-bomber-detector schemes received the same award in 2005. Kaplan serves on the National Academy of Sciences panel on basic research to improve intelligence analysis, and co-directs the Daniel Rose Technion-Yale Initiative in Homeland Security and Counter Terror Operations Research. Kaplan has also conducted award-winning research that evaluates the effectiveness of HIV prevention programs while developing new mathematical models for the study of HIV transmission, prevention, and resource allocation. His empirical and modeling research demonstrating the effectiveness of New Haven’s needle exchange program remains among the most creative and important examples of HIV prevention program evaluation to date. Honors for his HIV-related research include induction into the Omega Rho operations research honor society in 2000, the 2002 INFORMS President’s Award recognizing work that advances the welfare of society, the 1997 Ira Hiscock Award of the Connecticut Public Health Association, the 1994 Lanchester Prize for the best publications in the operations research literature, the 1992 Franz Edelman Award for management science achievement, the 1991 State of Connecticut Health Department’s AIDS Leadership Award, the 2009 Charles C. Shepard Science Award from the Centers for Disease Control, and the INFORMS Philip Morse Lectureship for 2010-11. Kaplan served twice as the Lady Davis Visiting Professor at the Hebrew University of Jerusalem—in the School of Public Health and Community Medicine in 1994, and in the Department of Statistics in 1997 -- and is also an elected member of the Board of Governors of the Technion-Israel Institute of Technology. For all of his contributions to the operations research profession, Kaplan was designated an INFORMS Fellow in November 2005.
    • Assistant Professor

      C. Brandon Ogbunu is an Assistant Professor in the Department of Ecology and Evolutionary Biology at Yale University. He is a computational biologist whose research investigates complex problems in epidemiology, evolutionary & population genetics, and evolution. His work utilizes a range of methods, from experimental evolution, to biochemistry, applied mathematics, and evolutionary computation.
    • Deputy Dean for Strategy and BearingPoint Professor of Operations Research; Professor, Health Policy & Management

      Professor Pinker’s research in healthcare looks at questions related to patient flow and capacity management within both in-patient and out-patient settings. In the out-patient setting he has studied the division of labor in primary care practices and advanced access appointment scheduling systems. In the in-patient setting he has studied how bed configurations can impact access to care and how congestion in ICUs impacts patient flow. He is currently involved in several projects investigating the use of the Rothman Index as a predictive tool to inform clinical decision making. Outside of healthcare he has done research on service supply chains, the use of flexible workforces, online auctions and responses to terrorist threats among others. He serves on the editorial boards of several leading journals in his field. Pinker has consulted for the United States Postal Service, the financial services industry and the auto industry. His work has been published in leading journals such as Operations Research, Management Science, Manufacturing and Service Operations Management, IIE Transactions, Production and Operations Management, and the Communications of the Association of Computing Machinery.
    • Associate Professor of Epidemiology (Microbial Diseases); Affiliated Faculty, Yale Institute for Global Health

      Virginia Pitzer, joined the Yale School of Public Health as an assistant professor in 2012. She earned her Sc.D. in Epidemiology from the Harvard School of Public Health in 2007, and was a postdoctoral research fellow at Princeton (Department of Ecology and Evolutionary Biology) and a postdoctoral fellow in the Research and Policy for Infectious Disease Dynamics (RAPIDD) program at the Fogarty International Center of the National Institutes of Health prior to coming to Yale.Pitzer’s work focuses on mathematical modeling of the transmission dynamics of imperfectly immunizing infections and how interventions such as vaccination, improved treatment of cases, and improvements in sanitation affect disease transmission at the population level. Her primary research is in rotavirus, (one of the leading causes of severe diarrhea in children in developed and developing countries) for which two new vaccines have been recently introduced. She is also interested in the spatiotemporal dynamics of respiratory syncytial virus and evaluating control options for typhoid fever. Her paper Demographic Variability, Vaccination, and the Spatiotemporal Dynamics of Rotavirus Epidemics appeared in Science magazine in 2009.
    • Elihu Professor of Biostatistics and Professor of Ecology and Evolutionary Biology; Co-Leader, Genomics, Genetics, & Epigenetics Research Program

      Professor Townsend received his Ph.D. in 2002 in organismic and evolutionary biology from Harvard University, under the advisement of Daniel Hartl. His Ph.D. was entitled "Population genetic variation in genome-wide gene expression: modeling, measurement, and analysis", and constituted the first population genetic analysis of genome-wide gene expression variation. After making use of the model budding yeast S. cerevisiae for his Ph.D. research, Dr. Townsend accepted an appointment as a Miller Fellow at the University of California-Berkeley in the Department of Plant and Microbial Biology, where he worked to develop molecular tools, techniques, and analysis methodologies for functional genomics studies with the filamentous fungal model species Neurospora crassa, co-advised by Berkeley fungal evolutionary biologist John Taylor and molecular mycologist Louise Glass. In 2004, he accepted his first appointment as an Assistant Professor in the Department of Molecular and Cell Biology at the University of Connecticut. In 2006 he was appointed as an Assistant Professor the Department of Ecology and Evolutionary Biology at Yale University. In 2013 he began to work on statistical approaches to fit mathematical models of disease spread and emergence, and to work on the somatic evolution of cancer, and was appointed as an Associate Professor of Biostatistics and Ecology & Evolutionary Biology. In 2017 he was named Elihu Associate Professor of Biostatistics and Ecology & Evolutionary Biology, and in 2018 he was appointed Elihu Professor of Biostatistics and Ecology & Evolutionary Biology. In 2019 he was appointed a member of the Connecticut Academy of Science and Engineering, in recognition of the development of innovative approaches to population biology, including the evolution of antimicrobial resistance, disease evolution and transmission, and evolution of tumorigenesis; and research that has enabled curtailment of pathogen evolution, outbreak mitigation, and informed therapeutic approaches to cancer metastasis and evolution of therapeutic resistance in cancer. In 2021 he was selected as the Co-Chair-Elect of the Cancer Evolution Working Group of the American Association for Cancer Research. In 2022 he was appointed Co-Director of the Genetics, Genomics, and Epigenetics Program of the Yale Cancer Center. In 2023 he was elevated to Co-Chair of the Cancer Evolution Working Group of the American Association for Cancer Research.
    • Associate Professor of Epidemiology (Chronic Diseases)

      Dr. Wang is an Associate Professor at the Yale School of Public Health, faculty member of Cancer Outcomes, Public Policy and Effectiveness Research (COPPER) Center, and faculty member of Public Health Modeling Concentration, Yale School of Public Health. His primary interests focus on outcomes research and decision science. He is interested in combining systematic literature reviews, secondary data analyses, and simulation modeling to examine issues that are critical to clinicians and policy makers’ decision making. He has been working on several breast cancer projects, including an evaluation of preoperative breast MRI, development of an individualized decision aid to help radiotherapy decision-making, and assessment of sentinel lymph node biopsy for patients with ductal carcinoma in situ. He is also evaluating end-of-life care quality. He has served as the primary investigator or co-investigator in several projects (funded by Yale Cancer Center, AHRQ, NCI, ACS, and PCORI).
    • Associate Professor of Biostatistics

      Joshua Warren is an associate professor in the Department of Biostatistics at the Yale School of Public Health. He received his Ph.D. in statistics from North Carolina State University in 2011. Dr. Warren’s research focuses on statistical methods in public health with an emphasis on environmental health problems. Much of his work involves introducing spatial and spatiotemporal models in the Bayesian setting to learn more about associations between environmental exposures, such as air pollution, and various health outcomes including preterm birth, low birth weight, and congenital anomalies. He also has interest in developing and applying spatiotemporal models in collaborative settings such as epidemiology, geography, nutrition, and glaucoma research. His theoretical and methodological interests include multiple topics in spatial/spatiotemporal modeling and Bayesian nonparameterics.
    • Associate Professor Tenure; Affiliated Faculty, Yale Institute for Global Health

      Dan Weinberger is an Associate Professor in Epidemiology of Microbial Diseases at Yale School of Public Health. His research uses a combination of quantitative analysis, laboratory experiments and field work to understand the epidemiology and biology of respiratory infections. Recent work has focused on developing novel analytical methods for the evaluation of vaccines using time series and spatial data. He collaborates widely with public health agencies and academic organizations around the world on these issues. He earned his PhD in biological sciences from Harvard School of Public Health, with a focus on Infectious Disease Epidemiology, and completed a postdoctoral fellowship in the Division of International Epidemiology and Population Studies in the Fogarty International Center at the NIH.Research: The research in the Weinberger Lab is at the intersection of microbiology and epidemiology. We focus on understanding the biological and epidemiological drivers of respiratory infections, including pneumococcus, RSV, influenza, and Legionella. Major research areas include understanding the biological drivers of the emergence of rare pneumococcal serotypes following vaccine introduction, developing novel statistical approaches to evaluate vaccine impact from observational data, evaluating the importance of interactions among respiratory pathogens, and understanding environmental drivers of Legionellosis. We employ a variety of tools including experimental and quantitative approaches. Our work is funded by grants from the NIH/NIAID, the Bill and Melinda Gates Foundation, and the Emerging Infections Program (a collaboration between the CDC, the Connecticut Department of Public Health, and Yale). You can learn more about our research here. Teaching: I teach the Public Health Surveillance course at YSPH. This class uses a mix of lectures, cases studies, and hands on data analysis exercises. Students learn to perform common surveillance analyses including aberration detection (e.g., CUSUM), time series analysis, and spatial cluster detection (SATSCAN). Students learn to do these analyses in either SAS or R.
    • Associate Professor of Public Health (Health Policy); Affiliated Faculty, Yale Institute for Global Health; Affiliated Faculty, Yale Institute for Foundations of Data Science

      Dr. Yaesoubi’s research focuses on medial decision making and model-based evaluation of health policies. His work incorporates mathematical and computer simulation models, machine learning methods, and optimization techniques to guide resource allocation and decision making in public health and health delivery systems. He has applied these methods in estimating the impact of different strategies to reduce the prevalence of alcohol-exposed pregnancies, conducting cost-effectiveness analyses of colorectal cancer screening strategies, estimating societal willingness-to-pay for health, and characterizing performance-based payment systems for preventive care systems. His current work mainly focuses on optimizing public health responses to control the spread of infectious diseases including COVID-19, influenza, meningitis, and drug-resistant tuberculosis and gonorrhea. He is also interested in theoretical and methodological issues in medical decision-making and health care resource allocation.
  • Affiliates

    • Associate Research Scientist in Epidemiology (Microbial Diseases)

      Ernest Asare is a Postdoctoral Associate in the Department of Epidemiology of Microbial Diseases. His primary research focuses on using mathematical models to describe the transmission dynamics, evaluate the impact of interventions and understand the influence of meteorological and climatic factors on diarrhea and malaria diseases. He uses mathematical models to better understand and quantify the drivers of differential impact of rotavirus vaccines. He is also interested in how climate change will affect mosquito population and intensity and distribution of malaria.
    • Instructor of Medicine (Infectious Diseases); Affiliated Faculty, Yale Institute for Global Health

      Dr. Lauren Pischel obtained her undergraduate degree in biology at Brown University and worked in the lab of Dr. Jake Kurtis on the development of a pediatric malaria vaccine. She obtained her MD at Stanford where she conducted research with Dr. Julie Parsonnet on the impact of an antimicrobial triclosan on the human microbiome. She then completed her internal medicine residency at Yale where she was awarded the primary care award for the Fair Haven Community Health Center. She subsequently pursued here fellowship in infectious diseases and her masters of science of public health in the epidemiology of infectious diseases. Her current interests include the epidemiology and spread of COVID-19, vaccine effectiveness research and emerging infectious diseases with her work with Dr. Saad B Omer and Inci Yildirim, as well as interactions of infectious diseases with climate change and changing environmental landscapes.
    • Associate Research Scientist in Epidemiology (Microbial Diseases); Affiliated Faculty, Yale Institute for Global Health

      Dr Redmond is an Associate Research Scientist in the department of Epidemiology of Microbial Diseases at the Yale School of Public Health. His research focuses on population genetics and genomic surveillance of vector borne diseases, such as malaria and dengue. At YSPH, his work primarily focuses on developing novel informatic techniques and genomic assays to inform disease control in both vector-borne and respiratory pathogens under the aegis of the CDC’s Pathogen Genomics Center of Excellence, in particular the application of amplicon sequencing assays to inform longitudinal studies of disease transmission.
  • Administrative Staff

    • Senior Administrative Assistant

      While I am relatively new to the School of Public Health and its Modeling Unit, I have been at Yale for some time, in the General Counsel's Office, in the Provost's Office, and most recently at the MacMillan Center for International and Area Studies. I am a graduate of Manhattanville College, with subsequent credits in library science and from a local culinary school. I speak French, of the rusty kind, and understand Spanish, mas o menos.
    • Coordinator 4; Research & Project Coordinator, Yale School of Public Health; IBMR Program Manager, Yale School of Public Health

      Kurt Petschke is a Research and Project Coordinator for Yale School of Public Health (YSPH) professors David Paltiel and Jody Sindelar. He is also the Program Manager for the Inclusion Body Myositis Disease Registry at Yale (IBMR). As a member of the Health Policy & Management Department and the Public Health Modeling Unit, he provides research, technical and administrative support for a number of research projects, studies, and experiments. As part of his responsibilities, Kurt oversees the IBMR website, Registry, Personalized Index Calculator, and outreach activities for the IBMR project. He also coordinates research projects for Drs. Paltiel and Sindelar, including: monitoring and ensuring compliance of their sponsored research projects; establishing and maintaining close working relationships with other investigators and their relevant research and administrative staff on collaborative projects; participating in research award and Institutional Review Board (IRB) protocol development, submissions and amendments; developing and monitoring project budgets with delegated authority to approve financial transactions for their sponsored projects; ensuring compliance with federal regulations and University policies and procedures; implementation of online surveys, discrete choice experiments, field surveys, and focus groups; assisting with development of content for peer-reviewed manuscripts, scientific and other project reports, project websites, scientific meetings, and conferences as needed.  Prior to coming to Yale in 2004, Kurt was a Grant and Contract Specialist at the Rochester Institute of Technology, Office of Sponsored Research Services. He has also been a Transportation Planner/Analyst with the Genesee Transportation Council regional Metropolitan Planning Organization in Rochester, New York; a Service Analyst with the Rochester-Genesee Regional Transportation Authority; and a Meteorologist Technician with Oceanroutes, a global ship routing company in Sunnyvale, California.Kurt studied Meteorology, Atmospheric Science, and Geography at Penn State University and then at the University at Albany, where he graduated with a Bachelor’s Degree in 1986.
  • Trainees

    • Associate Research Scientist in Epidemiology (Microbial Diseases); Affiliated Faculty, Yale Institute for Global Health

      Dr. Chaguza is an Associate Research Scientist in the Department of Epidemiology of Microbial Diseases at the Yale School of Public Health, Yale University. His research uses large genomic and epidemiological datasets of microbial pathogens (bacteria and viruses) to understand pathogenesis, molecular evolution, the genetic basis of phenotypes, antimicrobial resistance, transmission, and epidemiology to inform public health – disease control and prevention. His research at Yale primarily focuses on understanding the evolution and epidemiology of viral pathogens of public health importance, including but not limited to SARS-CoV-2, rotavirus, monkeypox, and dengue virus. Beyond viruses, his research focuses on comparative genomics of bacterial pathogens, including but not limited to Streptococcus pneumoniae, Streptococcus agalactiae (Group B Streptococcus), Staphylococcus aureus, and Enterococcus species. He is also keen to collaborate on microbial genomics projects within and outside Yale.
    • Ariel is a PhD candidate at YSPH in the Biostatistics Department. She is working on methods that address mismeasured clusters in cluster-randomized trials when evaluating causal effects in the presence of spillover, and applying these methods to HIV prevention trials.
    • Melanie H. Chitwood is a doctoral candidate in the Ted Cohen Lab. She is interested in using mathematical models to understand the transmission and prevalence of tuberculosis in high burden settings. She has previously worked as a Research Associate in the Cohen Lab, where she was involved in projects in Brazil and on COVID-19 estimates and projections. Melanie received her BA from Hampshire College and her MS in Global Health and Population from the Harvard T.H. Chan School of Public Health.
    • Samantha Dean is a fourth year biostatistics PhD student. She is interested in statistical methods for infectious disease epidemiology and causal inference. She currently works with Professor Forrest Crawford and Professor Laura Forastiere. Previously, she worked as a Postbac IRTA fellow in the Epidemiology Unit at the National Institute of Allergy and Infectious Diseases.
    • Atalay Demiray, MD, MSc, is a first-year PhD student in Health Policy and Management at Yale University. As a first-generation college graduate from Turkiye, he is a prominent advocate of diversity and global health equity. Atalay earned his Master of Science degree in Health Economics, Policy, and Law from Erasmus University, an endeavor enriched by the Jean Monnet Scholarship. His master's thesis, titled "Regulation of Artificial Intelligence in Medicine: Upholding Public Health," was recognized as the Thesis of the Year in the Netherlands. Prior to pursuing his master’s degree, he obtained a Doctor of Medicine and a Bachelor of Arts in International Relations from Koc University. With a solid foundation in both medicine and international policy, Atalay is passionately working towards leveraging technological advancements to foster global health equity and improve public health outcomes. His ongoing research at Yale signifies a step further toward melding innovative solutions with pragmatic health policy frameworks.
    • Postdoctoral Associate

      Julia Dennett’s research is focused on health economics and policy, with an interest in the determinants of health and health behaviors. Her goal is to understand how economic and environmental factors affect health and human capital outcomes and their long-term trajectories. Julia’s current research agenda examines topics at the intersection of health care access, the opioid epidemic, and infectious disease and aims to inform the policy response to the opioid crisis. She received a Ph.D. in Health Policy (Economics track) from Harvard University and a B.S. in Economics from the Massachusetts Institute of Technology.
    • Postdoctoral Associate

      Dr Verity Hill is a Postdoctoral Research Associate in the Department of Epidemiology of Microbial Diseases at the Yale School of Public Health. She is interested in the evolution and control of viruses of public health concern, especially those which have historically been neglected.She applies molecular epidemiological and phylodynamic techniques to explore the spatial and temporal spread of viruses in close to real-time, and has most recently contributed to SARS-CoV-2 genomic analysis and control efforts in the UK.
    • Jiye Kwon is a doctoral student in the Department of Epidemiology of Microbial Diseases. She is primarily interested in the intersection of pathogen genomics, bioinformatics, and mathematical modeling of infectious diseases. In the Pitzer-Weinberger Lab, she aims to integrate these areas to study the risk, development, and spatiotemporal spread of resistance and pathobionts to ultimately strengthen disease surveillance systems. Prior to her doctoral studies, Jiye earned her MPH with public health modeling concentration from Yale School of Public Health and conducted respiratory and gastrointestinal microbiome research with the Antibacterial Resistance Leadership Group (ARLG) while working in the Pettigrew Lab.
    • Postdoctoral Associate

      Dr. Lan is a spatial epidemiologist and health geographer who works on understanding and visualizing space-time transmission patterns in infectious diseases such as COVID-19 and tuberculosis. She is particularly interested on combining genomic (i.e., WGS) and spatial methods to further recognize strains associated transmission patterns.
    • Shuqi Lin is a master student in Biostatistics-data science pathway. She is interested in spatial modeling and Bayesian statistics.
    • Postdoctoral Associate

      Dr. Rafael Lopes is a Postdoctoral Research Associate in the Department of Epidemiology of Microbial Diseases at the Yale School of Public Health. He develops computational models to understand, as well as predict, the ecological succession of variants of SARS-CoV-2 and its burdens for infections, hospitalizations, and deaths. Through data analysis of genomic sequence data and epidemiological data, he aims to quantify the impacts of these arms race processes and their impacts on public health.
    • Claudia Mastrogiacomo is a third-year PhD student in the Department of Biostatistics on the Implementation Science pathway. She is interested in Bayesian methods for causal inference.
    • Associate Research Scientist in Epidemiology (Microbial Diseases)

      The surveillance and epidemiology of vaccine-preventable respiratory diseases, especially pneumococcal disease, is my passion. I want to determine how to efficiently and effectively protect populations from pneumococcal disease, both invasive (bacteremia, meningitis) and non-invasive (otitis media, non-bacteremic pneumonia). I'm interested in respiratory disease surveillance, serotype replacement, antibiotic resistance, vulnerable populations, vaccine schedules, vaccine advocacy, and overcoming vaccine hesitancy. You can find me on Twitter @StephPerniciaro.
    • Alexandra Savinkina is a first year PhD student in the Epidemiology of Microbial Diseases. She is interested in using mathematical modeling to answer questions at the intersection of infectious disease epidemiology and national and global health policy, with a focus on health equity. Prior to coming to Yale, Alexandra was a data analyst at the Centers for Disease Control and Prevention and then worked in simulation modeling at Boston Medical Center's infectious disease department.
    • Postdoctoral Associate

      Dr. Thindwa is a Postdoctoral Associate in the Department of Epidemiology of Microbial Diseases at Yale School of Public Health, Yale University. He uses mathematical and statistical analysis applied to epidemiological datasets of viruses and bacteria to understand their disease epidemiology and transmission dynamics to inform public health prevention and control measures. His current research focuses on understanding the dynamics of respiratory syncytial virus (RSV) following COVID-19 pandemic, and measuring the public health impact of RSV vaccines or monoclonal antibodies against RSV disease. He also investigates the dynamics of Streptococcus pneumoniae, and the intricate of expanding pneumococcal vaccination landscape, and their impact against pneumococcal carriage and subsequent disease.
    • Jo joined the Pitzer Lab as a PhD student in the Department of Epidemiology of Microbial Diseases in the Fall of 2021, where they use mathematical models to study the dynamics of infectious disease transmission and vaccination in low-resource settings, with a focus on typhoid fever. Prior to arriving at Yale, Jo worked on mathematical modeling and forecasting for influenza and COVID-19 at the Centers for Disease Control and Prevention. When Jo is not in class or building models, they enjoy cooking, climbing, and basketball.
    • Meet the Center for Methods in Implementation and Prevention Science's (CMIPS) Qixiang Xu.
    • Yichi Zhang is a third year PhD student in the Department of Biostatistics. He is interested in developing causal inference methodology for epidemiology. He currently works with Professor Forrest Crawford. Prior to coming to Yale, he obtained his bachelor's degree in Mathematics and Applied Mathematics from Fudan University.