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Kyra Gan is an Assistant Professor at Cornell University in the School of Operations Research and Information Engineering. She specializes in developing robust frameworks for personalized healthcare strategies using statistical methods. Her research is driven by the unique challenges found in healthcare applications, particularly in high-stakes decision-making scenarios. Kyra's work also focuses on innovative causal discovery algorithms and efficient design of adaptive clinical trials. With a background in Operations Research, she holds a Ph.D. from Carnegie Mellon University and has received multiple awards for her research contributions. Her work experience includes a postdoctoral fellowship at Harvard University and extensive collaboration with clinicians to address pressing healthcare challenges, including improving care for heart failure patients. She has published numerous research papers highlighting her work in statistical causal inference, developing machine learning methods for healthcare applications, and advocating for evidence-based practices within clinical settings.
Cornell University • Ithaca, NY
Member of the School of Operations Research and Information Engineering working on personalized healthcare strategies.
Harvard University • Cambridge, MA
Worked in the Statistical Reinforcement Lab focusing on advancements in statistical methods for healthcare.
Department of Architecture