Samantha Riesenfeld is Assistant Professor in the Pritzker School of Molecular Engineering, with additional affiliations in the Department of Medicine, Section of Genetic Medicine, the Institute for Biophysical Dynamics, the Comprehensive Cancer Center, and the Committee on Immunology, where she co-chairs the Computational and Systems Immunology training program.
She leads a highly interdisciplinary research group that develops and applies genomics-based machine learning methods to investigate the cellular components, transcriptional circuitry, and dynamics underlying complex biological systems. Areas of focus include inflammatory immune responses, neuroimmune interactions, and solid tumor cancer.
Dr. Riesenfeld has a BA in mathematics and computer science from Harvard University and a PhD in theoretical computer science from UC Berkeley. She did postdoctoral training at the interface of machine learning, systems biology, and immunology at the Broad Institute of MIT and Harvard, Brigham and Women’s Hospital, and the Gladstone Institutes at UCSF. Her honors include an NSF Graduate Research Fellowship, a PhRMA Foundation Post Doctoral Fellowship, an NIH F32 NRSA postdoctoral fellowship, a BroadIgnite postdoctoral award, and a Cancer Research Foundation Young Investigator Award.