Samantha Riesenfeld

Samantha Riesenfeld is Assistant Professor in the UChicago 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 track of the PhD training program. She leads a highly interdisciplinary research group that develops and applies machine learning methods to use functional genomics, including single-cell transcriptomics, and multimodal data to investigate complex biological systems. Areas of focus include inflammatory immune responses, neuroimmune interactions, 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 a PhRMA Foundation Post Doctoral Fellowship, an NIH F32 NRSA postdoctoral fellowship, a BroadIgnite postdoctoral award, and a Cancer Research Foundation Young Investigator Award.