Samantha Riesenfeld is an Assistant Professor in Molecular Engineering and Genetic Medicine at the University of Chicago with 15 years of experience at the interface of computational biology and genomics. Trained in computer science (Ph.D., UC Berkeley) and mathematics/computer science (A.B., Harvard), she leads an interdisciplinary lab that applies genomics-based data science to probe the immune system and other complex biological networks. Her work blends rigorous algorithmic training with wet-lab collaboration, enabling novel insights from high-dimensional genomic datasets. Based in Chicago, she has built a research program that translates computational methods into biologically actionable findings and routinely mentors students across computation and experimental disciplines. An implicit strength is her ability to bridge theoretical CS approaches with practical biomedical problems, positioning her group to uncover mechanisms that standard pipelines often miss.
15 years of coding experience
Ph.D., Computer Science, Ph.D., Computer Science at University of California, Berkeley
B.A., Mathematics, Computer Science, B.A., Mathematics, Computer Science at Harvard University
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Samantha Riesenfeld - Assistant Professor at University of Chicago