Daniel Hannah
Director at SES AI
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolDaniel Hannah is an Associate Director focused on materials discovery who combines a PhD in physical chemistry with nine years of hands-on machine learning and scientific research experience to accelerate energy storage innovation. He has built ML-driven production systems and automated computational physics pipelines that search billions of candidate materials, and he pairs deep domain expertise in computational chemistry with product-minded engineering. Daniel has driven AI work across sectors—energy, cybersecurity, consumer products, and insurance—delivering both research on model generalization across chemical space and robust inference infrastructure. Equally comfortable as an individual contributor and leader, he helps organizations translate ML strategy into measurable research and engineering outcomes. A former computational chemist and Insight Data Science alum, he brings uncommon fluency in both first-principles simulation and at-scale ML deployment.
9 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Physical Chemistry, Doctor of Philosophy (Ph.D.), Physical Chemistry at Northwestern UniversityBachelor of Science (B.S.), Chemistry, Computer Science, Bachelor of Science (B.S.), Chemistry, Computer Science at The Ohio State University
Chinese, English
Github Skills (3)
3d2
graph-convolutional-networks2
pytorch2
Programming languages (1)
Github contributions (5)
dchannah/fraudhacker
Sep 2017 - Nov 2017
Contributions:24 commits, 23 pushes, 1 branch in 1 month
dchannah/materials_mining
Mar 2017 - Nov 2017
Contributions:33 commits, 33 pushes, 1 branch in 8 months
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