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We use a variety of computational tools to address fundamental problems across multiple scales in biology and toxicology.

Like many other fields in academia and industry, toxicology is being revolutionized by large data sets and computational modeling. We are applying a variety of predictive modeling tools to understand how gene regulatory networks are perturbed in cells exposed to potentially toxic chemicals.


Sudin’s talk in the MSU Physiology Seminar Series, February 2018.


We are based in the Institute for Quantitative Health Science and Engineering (IQ) and the Department of Biomedical Engineering (BME) at Michigan State University.

We are also affiliated with Pharmacology & Toxicology, the Center for Research on Ingredient Safety (CRIS), and the Institute for Integrative Toxicology.