Deborah Chasman is a computational scientist with eight years of post-graduate research experience, currently a Scientist II at the University of Wisconsin–Madison. With a PhD in Computer Sciences, she develops and applies machine learning and network-inference methods to dissect regulatory interactions and environmental drivers of early immune development and allergic disease. Her work bridges high-throughput 'omics, chromatin feature prediction, and electronic phenotyping to generate experimentally testable hypotheses and prioritize candidate genes. Based in Madison, she combines deep methodological expertise with hands-on translational collaborations in obstetrics and gynecology, and maintains an ORCID record for her scholarly contributions. An early background in teaching and theater tech hints at strong communication skills and a pragmatic, collaborative approach to complex experimental problems.
8 years of coding experience
14 years of employment as a software developer
PhD, Computer Sciences, PhD, Computer Sciences at University of Wisconsin-Madison
BA, Computer Science, BA, Computer Science at Carleton College
Contributions:2 PRs, 7 pushes, 13 branches in 3 months
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