Ashley Conard is a Senior Researcher at Microsoft Research with a decade of experience at the intersection of computational biology, machine learning, and high-performance computing. She holds a PhD in Computer Science with computational biology focus from Brown University and builds interpretable, reproducible models that integrate genomics, multi‑omics, phenotypes and environment to study development, aging, rare and neurological diseases. Her work spans academia and industry—collaborating with the Broad Institute, contributing to Google and Microsoft projects, and translating methods into researcher-facing platforms and visualizations. Ashley combines game-theoretic and coalitional approaches from her Fulbright work with scalable sparse algebra and NoSQL techniques from HPC projects, a blend that yields novel algorithms for biological discovery. She’s multilingual, experienced in leadership and board service, and aims to lead an international research group that accelerates healthy aging and rapid recovery from illness. Outside core research, she co-founded a campus farm and runs educational workshops, reflecting a practical, community-minded approach to science.
10 years of coding experience
4 years of employment as a software developer
French, French at Indiana University Indianapolis
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Brown University
International School of Indiana
University High School of Indiana
Fulbright Research Machine Learning Group Game Theory, Fulbright Research Machine Learning Group Game Theory at Université libre de Bruxelles
Bachelor of Arts Biochemistry and Computer Science, Bachelor of Arts Biochemistry and Computer Science at DePauw University
Contributions:81 pushes, 1 branch in 1 year 6 months
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