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2025-12-16 08:56:48
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Marco Cusumano-Towner Marco Cusumano-Towner Email / GitHub / Google Scholar Computer scientist specializing in probabilistic AI. I am a research scientist at Apple working with Vladlen Koltun . I completed my PhD in EECS at MIT , where I was advised by Vikash Mansinghka and Josh Tenenbaum . During my PhD I created the Gen probabilistic programming system . Before MIT, I was a technical lead at an early stage molecular diagnostics startup backed by Sequoia Capital, I completed my MS in computer science at Stanford University and my BS in electrical engineeering and computer science at UC Berkeley , where I worked with Pieter Abbeel on probabilistic robotics. My graduate school research was funded by the NSF graduate research fellowship and the NDSEG graduate fellowship program , among other sources. PhD Thesis Gen: A High-Level Programming Platform for Probabilistic Inference (PDF) , PhD thesis, Massachusetts Institute of Technology, 2020. Publicati...
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