I am a PhD student in Computer Science at Princeton University. I am very fortunate to be advised by Ben Raphael, and I am grateful to be supported by an NSF Graduate Research Fellowship and a Siebel Scholar award.
I am broadly interested in developing statistical models and algorithms to address problems in biology and machine learning. I am particularly interested in problems involving graphs or spatial structure.
[Google Scholar, CV, Github]
(October 2022) Our spatial transcriptomics algorithm Belayer is out now (and is the issue’s “featured article”) in Cell Systems!
(September 2022) Received a Siebel Scholar award.
(June 2022) Presented at the SIAM Conference on Discrete Mathematics (DM22) in Pittsburgh. Also received an ICML 2022 Best Reviewer Award.
(May 2022) Presented our algorithm NetMix2 at RECOMB 2022 in San Diego.
* denotes joint first authorship.
Belayer: Modeling discrete and continuous spatial variation in gene expression from spatially resolved transcriptomics
Cong Ma*, Uthsav Chitra*, Shirley Zhang, Benjamin J. Raphael
Cell Systems (2022)
International Conference on Research in Computational Molecular Biology (RECOMB 2022)
NetMix2: Unifying network propagation and altered subnetworks
Uthsav Chitra*, Tae Yoon Park*, Benjamin J. Raphael
International Conference on Research in Computational Molecular Biology (RECOMB 2022) [slides]
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
Journal of Computational Biology (2021)
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
Outside of research, I spend a fair amount of time bouldering — check out my Instagram for some videos!
I also enjoy biking around Princeton, struggling on crosswords, puzzles, and bad puns.