Our research lab develops machine learning methods with broad goals of data integration and model interpretation 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 email@example.com.
Former Lab Members
Adam Berkley (CS) → Associate Professional Staff at John Hopkins University
Camillo Saueressig (Concurrent CS MS degree program)
Suchen Zheng (CS) → Research Assistant at Yale University
Shreya D’Souza (Class ’21) → Information Systems Associate at Amgen
Ishaani Kahtri (Class ’21) → Brown University Medical School
Xavier Loinaz (Class ’21) → Post Graduate Research Assistant at Broad Institute
Lucas Paulo de Lima (Class ’21) → University of Cambridge Medical School
Giselle Garcia (Class ’21) → Software Engineer at Capital One
Elliot Kang (Class ’20) → Software Engineer at Palantir
Thulasi Varatharajan (University of Pittsburgh): Leadership Alliance Summer Research – Early Identification Program (SR-EIP) 2021
We are located at the Center of Computational Molecular Biology (3rd Floor, 164 Angell Street)