Riesenfeld Group

Computational genomics and immunology

The Riesenfeld Group develops and uses machine learning approaches to quantitatively model immune function. We leverage large-scale, systematic genomic 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 that drive an immune response towards tolerance versus inflammation, and to predict how manipulations may alter the response.

Location: Our dry and wet labs are in rooms 9154 and 9160, respectively, of the Knapp Center for Biomedical Discovery (KCBD), one block west of the William Eckhardt Research Center (ERC).

Openings: If you are interested in joining the Riesenfeld Group, please send an e-mail to Samantha Riesenfeld.

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Group Members Publications


Principal Investigator

Samantha Riesenfeld