Michael Oberst
Assistant Professor at Abridge
Baltimore, Maryland, United States
Summary
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Senior🎓
Top SchoolMichael Oberst is an Assistant Professor of Computer Science at Johns Hopkins University and a part-time visiting scientist at Abridge AI, bringing a decade of experience at the intersection of machine learning and healthcare. He completed a PhD at MIT focused on rigorously tested and reliable ML for health and transitioned through research and applied roles at CMU, JHU engineering, and a healthcare startup where he built early data science teams. His work blends academic rigor with product-minded engineering, tackling problems that bridge theory, clinical applications, and deployable systems. Michael has experience advising at-scale ML development from both research and industry perspectives, having led teams at Clarify Health and collaborated on ML research at CMU. Based in Baltimore, he combines a strong statistics background from Harvard with practical leadership honed at McKinsey and health-tech settings. An underappreciated strength is his track record of moving research into real-world clinical tooling through cross-disciplinary collaboration.
10 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD EECS (Computer Science), Doctor of Philosophy - PhD EECS (Computer Science) at Massachusetts Institute of TechnologyBachelor of Arts (B.A.) Statistics, Bachelor of Arts (B.A.) Statistics at Harvard University
Stackoverflow
101reputation
0reached
1answer
0questions
Github Skills (59)
causal10
packaging10
doi10
graphical-models10
mendeley10
causality10
libgen10
causal-inference10
tex10
command-line-tool10
dowhy10
arxiv10
modeling10
data-science9
testing9
Programming languages (7)
Github contributions (5)
moberst/setup-env
May 2017 - Mar 2025
Set up Linux machine from command line
Contributions:4 PRs, 156 pushes, 12 branches in 7 years 10 months
linux-machinelinuxbashset-upshell
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