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
Assistant Professor
Computer Science
Ph.D. Students
(Co-advisor: Erica Larschan)
Computational Biology
(Sandstede Lab)
Applied Mathematics
(Co-advisor: Sorin Istrail)
Computational Biology
(Joining deferred till Fall ’21)
Computer Science
(Joining deferred till Fall ’21)
Computer Science
Masters’ Students
Computer Science
(Concurrent MS Degree Program)
Computer Science
Undergraduate Students
(Summer UTRA ’20 Awardee)
(Senior Thesis)
(Senior Thesis)
(SPRINT ’20 Awardee)
Former Lab Members
Elliot Kang (Class ’20), now at Palantir
Hyeyeon Hwang (Rotation Student)
Location
We are located at the Center of Computational Molecular Biology (3rd Floor, 164 Angell Street)
