Alvin Kerber
Machine Learning Researcher at Jane Street
New York, New York, United States
Summary
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Senior🎓
Top SchoolAlvin Kerber is a machine learning researcher with 13 years of experience applying deep learning and rigorous math to real-world systems, currently developing models for systematic trading at Jane Street. He previously led research efforts at Facebook on Instagram ads ranking and core optimization, and earlier focused on developer observability—bridging production ML and engineering diagnostics. Trained as a mathematician with a PhD from UC Berkeley and a BS from Brown, he brings theoretical depth to practical ML problems. His background includes software engineering internships and roles at Google and Delphix, reflecting a strong foundation in production software. Colleagues describe him as someone who blends clean mathematical thinking with hands-on systems work, often surfacing elegant, data-driven solutions that improve both model performance and operational robustness.
13 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (PhD) Mathematics, Doctor of Philosophy (PhD) Mathematics at University of California, BerkeleyBachelor of Science (BS) Mathematics, Bachelor of Science (BS) Mathematics at Brown UniversityGithub contributions (5)
akerber47/haskalah
Mar 2013 - Apr 2014
Contributions:263 commits in 1 year 2 months
akerber47/resume
Jul 2017 - Jan 2022
Contributions:1 push, 1 branch in 4 years 6 months
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