Summary
Ipek Ensari is an Assistant Professor and women's health researcher at Mount Sinai with nine years of experience bridging biomedical informatics, mobile health, and machine learning to improve reproductive and LGBTQ healthcare. She leads an R01-funded program developing novel statistical models and digital patient-reported outcome measures, translating rigorous methodological research into practical tools for clinical and community settings. Her background spans postdoctoral and research scientist roles at Columbia’s Data Science Institute and cardiology-focused behavioral health research, reflecting a strong interdisciplinary grounding in physiology, informatics, and behavioral science. Trained as a PhD in Kinesiology and Exercise Science, she applies quantitative and mobile-health methods to underexplored areas of women’s health, often blending sensor and self-report data in innovative ways. Based in New York, she combines academic leadership with hands-on computational research to push digital phenotyping toward measurable clinical impact.
9 years of coding experience
7 years of employment as a software developer
Bachelor of science, Pyschology, Bachelor of science, Pyschology at Tufts University
University of Illinois Urbana-Champaign
M.Ed, Applied Exercise Physiology, M.Ed, Applied Exercise Physiology at Teachers College of Columbia University
Turkish