I am a physician, researcher, and software developer. My interest in programming and software design started in high school, and while I studied biology in college, I never strayed far from the technical side of things. My dual focus of life sciences and computing shaped everything that followed.
At Georgetown University School of Medicine, I honed my clinical skills while continuing to pursue informatics work on the side. I was drawn to the question of what we could learn from the data already sitting in clinical systems, and how software could help us get there faster.
The COVID-19 pandemic changed the trajectory of my career. There was a massive volume of clinical data and almost no answers. I threw myself into critical care research, studying prone positioning in ventilator management, renal replacement therapy, and novel therapeutics in the ICU. That period cemented my passion for real-world evidence -- using the messy, complex data generated by routine clinical care to answer questions that mattered right now, not years from now.
After completing a year of Emergency Medicine residency, I transitioned to full-time informatics and real-world evidence research. My work now uses large-scale electronic health record data and causal inference methods -- propensity score matching, retrospective cohort design, high-dimensional analysis -- to study clinical questions across a wide range of specialties at Atropos Health. My published research spans cardiology, neurology, endocrinology, critical care, substance use, health equity, and more, with over 20 peer-reviewed studies in journals including the European Heart Journal, Journal of Intensive Care Medicine, and Frontiers in Neurology.
I continue to work at the intersection of medicine, data, and software - building tools and generating evidence to improve how clinical decisions are made.
