Amrita Basu

Amrita Basu is a computational biologist at the University of California San Francisco (UCSF) specializing in cancer informatics and machine learning applications for breast cancer research. Her work focuses on developing computational models for early cancer detection, metastatic progression prediction, and integration of patient-reported outcomes (PROs) into clinical trials.

• Education: Ph.D. in Computational Biology (Rockefeller University, Tri-Institutional Program); B.S. in Electrical Engineering (Cornell University); Postdoctoral Fellow in Computational Chemical Biology (Broad Institute of Harvard and MIT)

Basu leads research projects leveraging high-throughput genomic data and clinical datasets to stratify cancer patients by molecular networks, including transcriptional regulation and epigenetic signaling. She actively develops infrastructure for PRO collection and analysis in breast cancer trials.

Her selected publications (2013-2025) demonstrate expertise in computational oncology, drug repositioning, and clinical trial biomarker discovery. Current funding includes NCI grants and Burroughs Wellcome Fund support for projects on patient toxicity frameworks and immune-related adverse event prediction.

• Scientific Awards: Burroughs Wellcome Fund Innovation in Regulatory Science Award (2021); Interstellar Award (2019); White House Presidential Innovation Fellow (2016); Sage Bionetworks Young Investigator Award (2013)

Basu serves as Principal Investigator on multiple NIH/NCI-funded trials (2017-2028) and collaborates with the I-SPY Consortium on neoadjuvant chemotherapy efficacy metrics. Her work bridges computational methods with clinical implementation to improve breast cancer outcomes.