Sarkar Lab
Computational Biology, Vanderbilt University

Ph.D. Computer Science
1400 18th Ave S.
Nashville, TN 37240
Hi I am an Assistant Professor at the newly created College of Connected Computing and a faculty member of Center for Computational Systems Biology at the Vanderbilt University. I obtained my Ph.D. in Computer Science at University of Maryland, College Park where I worked with Prof. Robert Patro. Prior to joining Vanderbilt University, I was a Ludwig Princeton Scholar at the Princeton University with Prof. Ben Raphael, and Prof. Yibin Kang. I am passionate about answering biological question by employing techniques from statistics and machine learning. This line of research involves developing novel methods
Research Interests
The following are broadly my current research interests. See also my list of publications.
- Computational Biology
- Spatial Transcriptomics
- Machine Learning
- Algorithms
Research Highlights
News
Feb 17, 2025 | Presented SIID in CINJ as a part of quarterly meeting of Ludwig Instutute. |
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Dec 17, 2024 | SIID is accepted in RECOMB |
Apr 01, 2024 | Will be presenting Copulacci in NCI Spring School of Algorithms at Bethesda, Maryland |
Feb 24, 2024 | Copulacci is accepted in ISMB |
Dec 24, 2023 | GASTON by Uthsav is accepted in RECOMB |
Latest Posts
Sep 21, 2025 | Method development in computational biology |
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Jun 08, 2021 | Theory of variational inference |
Selected Publications
- Genes & DevDeciphering normal and cancer stem cell niches by spatial transcriptomics: opportunities and challengesGenes & Dev, 2025
- RECOMB Genome ResJoint imputation and deconvolution of gene expression across spatial transcriptomics platformsbioRxiv, 2025
- Cancer ResComparative Single-Cell Transcriptomics of Human Neuroblastoma and Preclinical Models Reveals Conservation of an Adrenergic Cell StateCancer Research, 2025
- ISMB BioinformaticsA count-based model for delineating cell–cell interactions in spatial transcriptomics dataBioinformatics, 2024
- RECOMBMapping the topography of spatial gene expression with interpretable deep learningbioRxiv, 2023
- ISMB BioinformaticsTerminus enables the discovery of data-driven, robust transcript groups from RNA-seq dataBioinformatics, 2020
- ISMB BioinformaticsA space and time-efficient index for the compacted colored de Bruijn graphBioinformatics, 2018