Email: skv24 [at] cornell.edu
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Welcome! I am a third-year PhD student in the Department of Statistics and Data Science at Cornell University, where I am advised by Professors Martin Wells and Sumanta Basu. My research interests are broadly in the analysis of time-evolving phenomena. I especially enjoy thinking about statistical theory and methods for recovering dynamical systems from data. I am also interested in problems in network science, numerical analysis, and optimal transport, as well as applications of statistics to demography and public health.
Previously, I studied statistics at Yale University as a master’s student and at Cornell as an undergraduate.
An empirical Bayes approach to estimating dynamic models of co-regulated gene expression.
Sara Venkatraman, Sumanta Basu, Andrew G. Clark, Sofie Delbare, Myung Hee Lee, Martin T. Wells. Submitted, 2021. IISA Student Paper Competition Winner.
Paper (arXiv, bioRxiv) • Code • Slides • Video
Association between neighborhood overcrowdedness, multigenerational households, and COVID-19 in New York City.
Arnab K. Ghosh*, Sara Venkatraman*, Orysya Soroka, Evgeniya Reshetnyak, Mangala Rajan, Anjile An, John K. Chae, Christopher Gonzalez, Jonathan Prince, Charles DiMaggio, Said Ibrahim, Monika M. Safford, Nathaniel Hupert. Public Health, 2021.
Paper (journal, medRxiv) • Slides • Video • Cornell Statistics article
Association between city-wide lockdown and COVID-19 hospitalization rates in multigenerational households in New York City.
Arnab K. Ghosh*, Sara Venkatraman*, Evgeniya Reshetnyak, Mangala Rajan, Anjile An, John K. Chae, Mark A. Unruh, David Abramson, Charles DiMaggio, Nathaniel Hupert. Submitted, 2021.
* denotes co-first authorship.
More about me
I am from Los Angeles, California and have also lived in France, where I attended middle and high school, and the United Kingdom. Outside of statistics, I enjoy classical piano, painting, photography, and running. My favorite dataset is the New York Philharmonic Performance History Database.
I co-organize the math/statistics Directed Reading Program at Cornell, which pairs undergraduates with PhD students to work on semester-long reading projects on topics of mutual interest.
Last updated: December 2021.
Source code available here.