I am broadly interested in developing statistical models and algorithms to address biological problems. My current research focuses on analyzing structured data, including interaction networks and spatial transcriptomics.
* denotes joint first authorship.
Quantifying and Reducing Bias in Maximum Likelihood Estimation of Structured Anomalies
Uthsav Chitra, Kimberly Ding, Jasper C. H. Lee, Benjamin J. Raphael
International Conference on Machine Learning (ICML 2021) [slides, ICML talk]
NetMix: A network-structured mixture model for reducing bias in the identification of altered subnetworks.
Matthew A. Reyna*, Uthsav Chitra*, Rebecca Elyanow, Benjamin J. Raphael
International Conference on Research in Computational Molecular Biology (RECOMB 2020) [slides]
Analyzing the Impact of Filter Bubbles on Social Network Polarization
Uthsav Chitra, Christopher Musco
ACM Conference on Web Search and Data Mining (WSDM 2020)
Preliminary version presented at KDD WISDOM 2019 workshop [slides]
Random Walks on Hypergraphs with Edge-Dependent Vertex Weights
Uthsav Chitra, Benjamin J. Raphael
International Conference on Machine Learning (ICML 2019) [slides, ICML talk @ 55:27]
Committee Selection is More Similar Than You Think: Evidence from Avalanche and Stellar
Tarun Chitra, Uthsav Chitra
I also enjoy biking around Princeton, struggling on crosswords, puzzles, and bad puns.