Brittany Baur is a data scientist and research faculty specializing in epigenetics, cancer biology, and 3D genomics, with a Ph.D. in Computational Sciences and over a decade of experience. She has applied Bayesian network inference and driver-detection algorithms in tumor biology and extended that work during a UW–Madison postdoc to map regulatory variation in the 3D genome and predict enhancer–promoter networks across cell types and species. Now at Michigan Medicine’s Weil Institute, she builds multimodal clinical prediction models and develops causal inference techniques to monitor deployed AI in real-time patient care. Her work uniquely bridges wet-lab biological insight and production-ready statistical methods, bringing research-grade genomics approaches into clinical ML pipelines. Colleagues describe her as a pragmatic researcher who turns complex genomic signals into actionable, monitored models for high-stakes healthcare settings.
10 years of coding experience
11 years of employment as a software developer
Bachelor's Degree, Mathematics and Biology, Bachelor's Degree, Mathematics and Biology at Manhattanville College
Doctor of Philosophy (Ph.D.), Computational Sciences, Doctor of Philosophy (Ph.D.), Computational Sciences at Marquette University
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