Rajat Gupta is a cardiologist and vascular biology researcher who uses stem cell–derived and genome-edited vascular cells to understand coronary artery disease.
Aleks Goeva is a statistician specializing in machine-learning models for understanding the human brain.
Anne Carpenter is a pioneer in building scalable, user-friendly technologies for extracting data from images. She directs a lab of biologists and computer scientists who develop and use advanced machine learning methods to identify important patterns in cell populations. Anne’s team is best known for developing CellProfiler, the first open-source software for cell–image analysis.
Zuzana Tothova is a medical oncologist at the Dana-Farber Cancer Institute. Her research focuses on blood cancers, a group of cancers including acute myeloid leukemia (AML) and myelodysplastic syndromes (MDS).
Steven Lubitz is a cardiologist at Massachusetts General Hospital who specializes in arrhythmias.
Beryl Cummings is a graduate student specializing in cutting-edge genomic technologies.
Andrés Colubri is a computational researcher, visual artist, and designer. He develops new tools that integrate statistics and user-friendly visuals and interfaces to help improve our ability to fight emerging outbreaks.
Samantha Riesenfeld is interested in using advanced statistical methods from data science to understand food allergy.
Oliver Jonas develops microdevices that diagnose, probe, and treat live tissues within their native environment.
Mariella Filbin wants to identify genetic dependencies—mutations that the tumors need to survive—in pediatric brain cancers, with the aim of finding potential therapies.