Data Science Institute

Ritambhara Singh

Assistant Professor of Computer Science and Data Science
ritambhara@brown.edu
Research Profile
Singh Lab

Biography

I am an Assistant Professor of the Computer Science department and a member of the Center for Computational Molecular Biology at Brown University.  My research lab works at the intersection of machine learning and biology.

Prior to joining Brown, I was a post-doctoral researcher in the Noble Lab at the University of Washington. I completed my Ph.D. in 2018 from the University of Virginia with Dr. Yanjun Qi as my advisor. My research has involved developing machine learning algorithms for the analysis of biological data as well as applying deep learning models to novel biological applications.

Recent News

News from DSI

Deep Learning Day 2024

This year's Deep Learning Day (actually held across two days due to large participation) showcased student projects across a myriad of fields, from computer vision to healthcare to art, and included many projects from DSI students.
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Brown Computer Science News

Ritambhara Singh Receives Brown University's Dean's Award For Excellence In Teaching

Brown University’s Dean of the Faculty gives out five different awards annually to recognize continued excellence in teaching, and this year, Brown CS and Data Science Institute faculty member Ritambhara Singh has received the Dean’s Award for Excellence in Teaching for a junior faculty member from the physical or life sciences.
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News from CCMB

CCMB’s Ritambhara Singh, Jeff Bailey, and David Rand recognized by Deans' Awards for Excellence in Teaching

Congratulations to CCMB’s Ritambhara Singh (Assistant Professor of Computer Science and Data Science), Jeff Bailey (Associate Professor of Translational Research in the Department of Pathology and Laboratory Medicine), and David Rand (Stephen T. Olney Professor of Natural History, Chair of Ecology, Evolution, and Organismal Biology)!
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News from DSI

Congratulations to Amina Abdullahi!

Tassallah Amina Abdullahi, a second-year doctoral student in Computer Science, has won a highly competitive Computational and Data Science Fellowship from the Association for Computing Machinery’s Special Interest Group on High Performance Computing (ACM SIGHPC).
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