Ashley Conard

Senior Researcher at Microsoft

Cambridge, Massachusetts, United States
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Summary

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Senior
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Top School
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.
code10 years of coding experience
job4 years of employment as a software developer
bookFrench, French at Indiana University Indianapolis
bookDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Brown University
bookInternational School of Indiana
bookUniversity High School of Indiana
bookFulbright Research Machine Learning Group Game Theory, Fulbright Research Machine Learning Group Game Theory at Université libre de Bruxelles
bookBachelor of Arts Biochemistry and Computer Science, Bachelor of Arts Biochemistry and Computer Science at DePauw University
languagesFrench, Spanish, English, Chinese, Dutch
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Github Skills (57)

markdown10
jekyll10
r9
package-management9
python9
time-series9
conda9
jekyll-theme9
github-pages9
operating-system9
html9
deep-learning8
machine-learning8
inference7
tensorflow7

Programming languages (6)

RC++SCSSJavaScriptSwiftPython

Github contributions (5)

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Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:2 PRs, 309 pushes, 2 branches in 5 years 7 months
templategithub-pages-templatemmistakesmistakesjekyll
ashleymaeconard/TIMEOR

Jun 2019 - Feb 2022

TIMEOR: Trajectory Inference and Mechanism Exploration with Omics Data in R
Contributions:173 commits, 22 PRs, 189 pushes in 2 years 8 months
inferencertranscription-factortime-seriesgene-regulatory-networks
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