CCMB is home to undergraduate and doctoral academic programs, each with dynamic and inspiring students. Hear from some of our graduating students and learn about their journeys at Brown.
CCMB PhD student Shevaughn Holness is one of 3 Brown students awarded funding from the National Science Foundation’s Graduate Research Fellowship Program to continue her work on population genetics.
Three Brown University undergraduates and two recent alumni were named among this year’s classes of Goldwater, Truman, Gates Cambridge and Ellison scholars.
Two computational biology senior concentrators, Madeleine Pittigher and Smriti Vaidyanathan, are receiving awards from the Dean of the College for outstanding graduating seniors in the Computational Biology concentration.
Brown University’s Dean of the Faculty gives out five different awards annually to recognize continued excellence in teaching, and this year, Brown CS and Data Science Institute faculty member Ritambhara Singh has received the Dean’s Award for Excellence in Teaching for a junior faculty member from the physical or life sciences.
Congratulations to CCMB’s Ritambhara Singh (Assistant Professor of Computer Science and Data Science), Jeff Bailey (Associate Professor of Translational Research in the Department of Pathology and Laboratory Medicine), and David Rand (Stephen T. Olney Professor of Natural History, Chair of Ecology, Evolution, and Organismal Biology)!
CCMB Ph.D. student Julian Stamp, a member of the Crawford Lab, gave a talk at the Intelligent Systems for Molecular Biology (ISMB) conference in Lyon, France, in July.
Brown University's School of Public Health Department of Biostatistics is pleased to welcome one of our newest faculty members, Ying Ma, Ph.D. as Assistant Professor of Biostatistics, effective August 1, 2023. Ma is a member of the Center for Computational Molecular Biology (CCMB) as well as Center for Statistical Sciences (CSS).
The COBRE Center for Computational Biology of Human Disease is advancing the use of computational tools among biomedical scientists at Brown, helping them unlock new insights that could ultimately benefit patients.
About one year ago, DSI announced a new interim director, Sohini Ramachandran. Today, we are happy to announce that Professor Ramachandran is officially Director of the Data Science Initiative. Below is Provost Locke's email announcement.
Brown School of Public Health faculty member Lorin Crawford will receive $875,000 over five years to pursue research in statistics, genomics and applied mathematics.
Long-term work by a Brown research team on how barnacles thrive in intertidal zones has increasingly wide implications for understanding how other organisms may adapt in the face of climate change.
Two assistant professors at Brown, in chemistry and ecology and evolutionary biology, are among the 126 early-career scholars named as Alfred P. Sloan Foundation fellows for 2020.
Faculty members Sohini Ramachandran and Anita Shukla are among the winners of the Presidential Early Career Award in Science and Engineering, the nation’s top honor for early-career scientists and engineers.
Brown biologists have developed a new system, described in Nature Genetics, that identified and tracked hundreds of genetic variations that alter the way DNA is spliced when cells make proteins, often leading to disease.
Congratulations to Dr. Max Leiserson, Ph.D. on successfully defending his thesis and becoming the first Ph.D. to complete the program in Computational Biology at the Center. We are proud to have you as our first awarded Doctorate and wish you all the best in your future endeavors.
Ph.D. student Stephen Rong of Brown University’s Center for Computational Molecular Biology (CCMB) and Department of Ecology & Evolutionary Biology has just received a National Science Foundation (NSF) Graduate Research Fellowship Program (GRFP) Fellowship.
As gene sequencing has gotten faster and cheaper, clinicians and researchers are able to use genomic data to study, diagnose, and develop a course of treatment for a variety of individual cancers.
Cancers often involve far more than a genetic mutation acting alone. Multiple mutations, many of which are rare, may occur in different networks of multiple genes. HotNet2 is a powerful algorithm that analyzes genes at the network level and can help cancer researchers search for genetic associations and likely sources of disease across almost unimaginable genetic complexities.
Brown University evolutionary biologist Sohini Ramachandran has joined with colleagues in publishing a sweeping analysis of genetic and linguistic patterns across the world’s populations. Among the findings is that geographic distance predicts differentiation in both language and genes.