The Riesenfeld Group develops and uses machine learning approaches to investigate complex biological systems.

We leverage large-scale, system-wide, transcriptomic and multimodal data to identify the key cellular components, molecular circuitry, and dynamics underlying tissue-based immune responses. By combining experimental and computational analysis, the group aims to understand the factors underlying complex immune responses and predict how manipulations may alter them. Areas of focus include inflammatory immune responses, neuroimmune interactions, and solid tumor cancers.

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Quantum for Bio grant awarded by Wellcome Leap
Quantum for Bio grant awarded by Wellcome Leap

The Quantum for Bio (Q4Bio) funding from non-profit Wellcome Leap was awarded for a proposal, led by quantum information company Infleqtion, with co-PIs Sam and Alex Pearson at UChicago , and Aram Harrow at MIT, to transform cancer care by harnessing the power of artificial intelligence and quantum algorithms to drive personalized diagnostics and treatments. More details in the announcement by Infleqtion.

Hope wins outstanding TA Award
Hope wins outstanding TA Award

Congratulations to Hope for a well-deserved PME Outstanding TA Award!

Preprint on improving RNA velocity
Preprint on improving RNA velocity

Frank, Sam, and Suri Vaikuntanathan post a preprint dissecting and integrating bursty transcriptional dynamics for complex systems, improving on state-of-the-art RNA velocity methods.

Sam speaks at the UChicago and Caltech Conference on AI+Science
Sam speaks at the UChicago and Caltech Conference on AI+Science

Sam participates as a speaker in a really stimulating 3-day, inaugural meeting of the University of Chicago and Caltech Conference on AI+Science.

Interested in joining us?

We may have openings for undergraduates, rotation students, graduate students, computational research scientists, and postdocs.

If you’re interested, please get in touch!

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