Alex Dorsett is a Senior Machine Learning Engineer based in San Francisco with a decade of experience bridging physics research and production ML. Trained as a PhD physicist at UC Santa Barbara and a former CMS researcher at CERN, he applies advanced statistical methods and deep learning (Keras, Python, ROOT/C++) to extract rare signals from large experimental datasets. Since 2022 he transitioned into industry data science and now leads ML efforts at Handshake, operationalizing models for real-world scale and impact. He combines rigorous experimental thinking with product-oriented engineering, often translating complex uncertainty quantification from particle physics into robust ML pipelines. Colleagues value his ability to navigate both low-level data tooling and high-level model deployment, making him effective at turning noisy research signals into production-ready features.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS Physics, Bachelor of Science - BS Physics at University of California, Davis
Doctor of Philosophy - PhD Physics, Doctor of Philosophy - PhD Physics at UC Santa Barbara
Code to produce analysis ntuples (pico) from the CMS NanoAOD.
Contributions:39 commits, 20 pushes, 1 comment in 2 years 5 months
cmspythonnanoaodpico
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Alex Dorsett - Senior Machine Learning Engineer at Handshake