Sara Venkatraman is a quantitative researcher at Blackstone’s Perform Properties with an 11-year background blending rigorous academic statistics and practical data science. She earned a PhD in Statistics from Cornell (2024) and specializes in statistical analysis of temporal and spatial processes, nonlinear dynamics, and estimating differential-equation systems from time series and spatiotemporal data. Prior roles include a postdoc at Weill Cornell Medicine and extensive teaching and research assistantships at Cornell and Yale, reflecting strong mentorship and communication skills alongside technical depth. Her experience spans industry internships at JPMorgan and Microsoft, pairing financial and software-engineering perspectives with academic modeling expertise. Sara’s work bridges theory and interdisciplinary applications in economics and population dynamics, and she maintains an active research portfolio and website documenting publications and code.
11 years of coding experience
4 years of employment as a software developer
Middle and High School, Middle and High School at American School of Paris
Doctor of Philosophy (PhD) - Statistics, Doctor of Philosophy (PhD) - Statistics at Cornell University
Master of Arts (MA) - Statistics, Master of Arts (MA) - Statistics at Yale University
Contributions:37 commits, 28 pushes, 1 branch in 3 years 8 months
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Sara Venkatraman - Quantitative Researcher, Perform Properties (Blackstone)