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.

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.

Prospective students, please apply directly to the CCMB or CS graduate programs at Brown and mention me in your application (no e-mails please!).

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

Students at Brown are recommended to attend the Deep Learning in Genomics course in the Fall (CSCI 2952-G) or Spring (CSCI 1850).

Lab Members

Ritambhara Singh
Assistant Professor
Computer Science

Ph.D. Students

Jeremy Bigness
(Co-advisor: Erica Larschan)
Computational Biology
Rebecca Santorella
(Sandstede Lab)
Applied Mathematics
Pinar Demetci
(Co-advisor: Sorin Istrail)
Computational Biology
Jiaqi Zhang
(Joining deferred till Fall ’21)
Computer Science
Atishay Jain
(Joining deferred till Fall ’21)
Computer Science
Hyeyeon Hwang
(Rotation student)
Computational Biology

Masters’ Students

Adam Berkley
Computer Science
Camillo Saueressig
(Concurrent MS Degree Program)
Computer Science

Undergraduate Students

Sally Zhi
(Summer UTRA ’20 Awardee)
Shreya D’Souza
Shalin Patel
Noelle Jung
Jeremy Wang
Nitya Thakkar
Ishaani Khatri
(Senior Thesis)
Xavier Loinaz
(Senior Thesis)
Lucas Paulo de Lima
(SPRINT ’20 Awardee)
Giselle Garcia

Former Lab Members

Elliot Kang (Class ’20), now at Palantir
David Inho Lee (Class ’22)

Location

We are located at the Center of Computational Molecular Biology (3rd Floor, 164 Angell Street)