Mikhail Hayhoe
Principal Data Scientist
Philadelphia, Pennsylvania, United States
Summary
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Senior🎓
Top SchoolMikhail Hayhoe is a Principal Data Scientist based in Philadelphia with 11 years of experience applying machine learning, generative AI, and optimization to high-impact problems in industry and academia. He holds a PhD in Electrical and Systems Engineering and has a proven track record of translating cutting-edge research—such as hyper-graph learning frameworks and ultra-fast blockchain transaction selection algorithms—into scalable production solutions. At Amgen he bridges research and product delivery, combining rigorous probabilistic guarantees with practical engineering to accelerate data-driven decisions. He has led and mentored large cohorts of students and researchers, built end-to-end predictive systems for public-health interventions, and engineered C++ and Python algorithms that delivered multi-hundred-percent performance gains in revenue and accuracy. Notably, his work spans both deep learning and classical algorithm design, enabling him to optimize systems from model architecture to database performance.
11 years of coding experience
10 years of employment as a software developer
Master of Science - MS, Applied Mathematics, Master of Science - MS, Applied Mathematics at Queen's UniversityDoctor of Philosophy - PhD, Electrical and Systems Engineering, Doctor of Philosophy - PhD, Electrical and Systems Engineering at University of PennsylvaniaGithub contributions (5)
MHayhoe/HGLearning
Feb 2022 - Oct 2022
Contributions:37 commits, 29 pushes, 1 branch in 7 months
MHayhoe/400
Mar 2018 - Jan 2021
Contributions:46 pushes, 1 branch in 2 years 10 months
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