Samantha Riesenfeld

Samantha Riesenfeld is Assistant Professor in the University of Chicago Pritzker School of Molecular Engineering, with additional affiliations in the Department of Medicine, the Institute for Biophysical Dynamics, the Data Science Institute, the Comprehensive Cancer Center, and the Committee on Immunology. She is also a Chan-Zuckerberg Biohub Investigator and a faculty member of the NSF-Simons National Institute for Theory and Mathematics in Biology. She leads a highly interdisciplinary research group that develops and applies machine learning methods to investigate complex biological systems using genomic, transcriptomic, and multimodal data. Areas of focus include inflammatory immune responses and solid tumor cancers. 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 NIH F32 NRSA postdoctoral fellowship, a BroadIgnite postdoctoral award, and a Cancer Research Foundation Young Investigator Award.