Michael Hay
Software Engineer, Machine Learning at LinkedIn
New York, United States
Summary
👤
Senior🎓
Top SchoolMichael Hay is a software engineer and machine-learning practitioner with 11 years of experience bridging academia, startups, and big tech, currently building ML systems at LinkedIn from New York. He co-founded and served as CTO of Tumult Labs, scaling privacy-preserving analytics and synthetic data products used by organizations such as the U.S. Census Bureau and Wikimedia, and authored an open-source library for scalable differential privacy. His research roots—PhD work and award-winning papers on differential privacy and the High-Dimensional Matrix Mechanism—inform practical systems that integrate probabilistic models, Apache Spark, and novel privacy composition techniques. Known for clear, pragmatic design and for enabling others to lead, he combines technical depth in algorithms and distributed systems with product-level judgment that turned research into multi-million dollar deployments.
11 years of coding experience
13 years of employment as a software developer
AB Computer Science, AB Computer Science at Dartmouth CollegeDoctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at University of Massachusetts Amherst
Github Skills (4)
differential-privacy7
opendp7
core-library6
privacy5
Programming languages (3)
Github contributions (5)
colgate-cosc480ds/lecture
Jan 2017 - Apr 2017
Contributions:73 commits, 69 pushes, 1 branch in 3 months
colgate-cosc290/cosc290-fall2017
Aug 2017 - Dec 2017
Contributions:109 pushes, 1 branch in 3 months
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