Our research lab develops machine learning methods with broad goals of data integration and model interpretation for biological and biomedical applications.
First Row (Left to Right): Ritambhara Singh, Ananya Pavuluri, Yuan Pu, Deniz Toruner, Alexander Le, David (Inho) Lee, Nitya Thakkar, Momoka Kobayashi, Shalin Patel
Second Row (Left to Right): Tuan Pham, Whitney Sloneker, Hyeyeon Hwang, Amina Abdullahi, Michal Golovanevsky, Pinar Demetci, Yusuke Suita, Xinrui (Ray) Wang, Zhirui Li
Third Row (Left to Right): Ghulam Murtaza, Atishay Jain, Jiaqi Zhang, Yuqi Lei
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.
Interested students at Brown are highly recommended to attend my Deep Learning in Genomics course in the Fall (CSCI 2952-G) or Deep Learning course in the Spring (CSCI 1470/2470).
Lab Members
Assistant Professor
Computer Science and Data Science
Ph.D. Students
Computer Science
Computer Science
Computer Science
(Co-advisor: Carsten Eickhoff)
Computer Science
(Co-advisor: Carsten Eickhoff)
Computer Science
(Co-advisor: Nikos Tapinos)
Computational Biology
(Co-advisor: Lorin Crawford)
Computational Biology
(Co-advisor: Erica Larschan)
Computational Biology
(Co-advisor: Erica Larschan)
Computational Biology
Masters Students
Data Science
Computer Science
Data Science Practicuum
Undergraduate Students
IISAGE REU Program
Summer 2023 UTRA
Research Assistants
M.S in Data Science
Visiting Students
Gatton Academy Research Intern
Former Lab Members
Doctoral Students
Pinar Demetci (Co-advisor: Sorin Istrail) [CompBio] → Eric and Wendy Schmidt Fellow at Broad Institute
Jeremy Bigness (Co-advisor: Erica Larschan) [CompBio] → Research Scientist at Agilent
Rebecca Santorella (Sandstede Lab) [APMA] → Data Scientist at OM1
Masters’ Students
Adam Berkley (CS) → Associate Professional Staff at John Hopkins University
Camillo Saueressig (CS Concurrent MS) → TUM-LMU Medical program (Germany)
Suchen Zheng (CS) → Graduate student at Yale University
Undergraduate Students
Shalin Patel → Software and Quantitative Engineer at GTS
Nitya Thakkar → Graduate student at Stanford University
Yuan Pu → Post Graduate Research Assistant at Yale University
Alexander Le → Software Engineer at Amazon
Momoka Kobayashi
David (Inho Lee)
Sally Zhi (Class ’22) → Software Engineer at Google
Jordan Idehen (Class ’22) → Software Engineer at Spotify
Madeline Hughes (Class ’22) → Post Graduate Research Assistant at Microsoft Research
Hossam Zaki (Class ’22) → Brown University Medical School
Justin Sanders (Class ’22) → Graduate student at University of Washington
Muhammad Haider Asif (Class ’22) → Software Engineer at Microsoft
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
Visiting Students and Research Assistants
Thulasi Varatharajan (University of Pittsburgh): Leadership Alliance Summer Research – Early Identification Program (SR-EIP) 2021
Carmen Boyan (Classical High School, Providence RI) → Undergraduate student at Stanford University
Location
We are located at the Center of Computational Molecular Biology (3rd Floor, 164 Angell Street)
Singh lab @ Brown 