Professor Busch is a Professor of Public Health (Health Policy) and former chair of the Department of Health Policy and Management at the Yale School of Public Health. Professor Busch’s research examines the effects of policies and regulations on health care cost and quality. Most of her work focuses on behavioral health. Professor Busch’s work has been funded by the National Institute of Mental Health, the National Institute of Drug Abuse and the Robert Wood Johnson Foundation. She has an undergraduate degree from the University of Michigan, an SM in Health Policy from the Harvard School of Public Health and a PhD in health economics from Harvard University.

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 grubaughlab.com.

Dr. Wang is Associate Professor of Biostatistics and of Biomedical Informatics and Data Science at Yale University. Her research focuses on combining genetics, genomics, immunology, and statistical modeling to answer biologically important questions in genetic epidemiological studies. Dr. Wang's statistical expertise lies in longitudinal data analysis, varying coefficient models, mixed effects models, kernel machine methods, mediation analysis, machine learning methods, and network analysis. She develops statistically innovative methods and computationally efficient tools in large-scale genetic and genomic studies to identify genetic susceptibility variants and advance the understanding of the etiology of complex diseases including breast cancer, alcohol and drug abuse, asthma, autism, obesity, lung and cardiovascular diseases. Current studies include using next-generation sequencing data to detect rare genetic variants in longitudinal genetic studies, combining knowledge in genomics and immunology to understand the risk of breast cancer survival, addressing statistical challenges in single-cell RNA sequencing data and spatial transcriptomics, and machine learning for risk prediction in electronic health records data.