Our research combines machine learning and biology with the broad goals of data integration, model interpretation, and method development for biological and biomedical applications.

Join our lab!

The lab is looking for highly motivated students, with strong computational skills, who are excited about developing data-driven approaches to solve important problems in biology and health sciences.

If you are interested in joining the lab or collaborating with us, please e-mail ritambhara@brown.edu.

Required skills for lab members include basic UNIX/Linux competency and programming ability (preferably in python). Coursework or project experience in machine learning and/or deep learning is highly preferred.

Students at Brown, who are interested in joining the lab, are recommended to first attend the Deep Learning in Genomics course in the Fall (Graduate) and Spring (Undergraduate).

Lab Members

Ritambhara Singh
Assistant Professor
Computer Science

Ph.D. Students

Jeremy Bigness
(co-advisor: Erica Larschan) Computational Biology
Pinar Demetci
(Crawford Lab)
Computational Biology
Rebecca Santorella
(Sandstede Lab)
Applied Mathematics
Atishay Jain
(Joining deferred till Spring ’21)
Computer Science
Jiaqi Zhang
(Joining deferred till Spring ’21)
Computer Science

Masters Students

Adam Berkley
Computer Science
Camillo Saueressig
(Concurrent Masters Program)
Computer Science

Undergraduate Students

Sally Zhi
(UTRA Summer ’20 Awardee)
Shreya D’Souza

Shalin Patel
Connor Jordan
Jeremy Wang
Nitya Thakkar
Xavier Loinaz
Ishaani Khatri
Lucas Paulo de Lima Camillo
(SPRINT Summer ’20 Awardee)

Former Lab Members

Elliot Kang (Class ’20)
David Inho Lee


We are located in the Center for Computational Molecular Biology at 164 Angell St. (3rd Floor)

The most dangerous phrase in the language is, “We’ve always done it this way.” – Grace Hopper

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