Riccardo Pavesi
Staff Research Scientist at EliseAI
San Francisco, California, United States
Summary
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Senior🎓
Top SchoolRiccardo Pavesi is a Staff Research Scientist based in San Francisco with a decade of experience applying Bayesian methods, astrophysics, and machine learning to real-world problems. He completed a PhD at Cornell studying galaxy evolution via large radio surveys and transitioned those Big Data skills into industry roles at Cruise and EliseAI, building production ML and LLM-driven products. He founded the first web app that uses satellite imagery and deep learning to help cyclists avoid unpaved roads, demonstrating a knack for turning research-grade techniques into consumer-facing tools. Comfortable across statistical inference, deep learning, and product engineering, he excels at consulting with cross-disciplinary teams to craft data-driven solutions. Trained also at Cambridge in theoretical and mathematical physics, he brings unusually strong mathematical rigor to practical ML deployments.
10 years of coding experience
14 years of employment as a software developer
BA/MMath, Theoretical and Mathematical Physics, BA/MMath, Theoretical and Mathematical Physics at University of CambridgeDoctor of Philosophy (PhD), Physics/Astrophysics, Doctor of Philosophy (PhD), Physics/Astrophysics at Cornell University
Github Skills (4)
disk6
radio-astronomy3
astronomy3
gpu2
Programming languages (1)
Github contributions (5)
pavesiriccardo/UVmodeldisk
Aug 2018 - May 2019
Fitting rotating disk models to interferometric data
Contributions:37 commits, 1 PR, 30 pushes in 9 months
fittingdiskrotating
pavesiriccardo/MF3D
Mar 2018 - Aug 2018
Line searching interferometric data cubes
Contributions:13 commits, 1 PR, 13 pushes in 5 months
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