My research background is in regulatory science, and much of my work to date has evaluated the evidence generated for new drugs and biologics after they are approved by the FDA.
Traditionally, post-approval research about drugs has not received the same attention as the clinical trials that lead to FDA approval, but these studies are incredibly important for understanding the risks and benefits of therapeutics when they are used for new indications, or for patient populations that were not enrolled in pre-approval trials. The FDA has stated its interest in using real-world data as another means of evaluating how therapeutics perform after approval, but our systems for collecting and analyzing the necessary data from electronic medical records are in their earliest stages.
One of my goals as an academic rheumatologist is to develop methods for using real-world data to evaluate the safety and effectiveness of disease-modifying antirheumatic drugs (DMARDs). The last 25 years have seen dozens of DMARDs approved by the FDA, but there is still uncertainty over which patients are most likely to benefit from specific therapies.
Using computational methods, I hope to develop clinical prediction tools to help guide treatment decisions for conditions like rheumatoid arthritis and to answer questions relevant to patients, clinicians, and policymakers. Advocacy is another important outcome of this work. I hope to draw attention to issues affecting patients with rheumatic diseases, such as in a recent Commentary advocating for improving biosimilar access that I published in the BMJ with colleagues at the Yale Collaboration for Regulatory Rigor, Integrity and Transparency (CRRIT).