Marco Cusumano-Towner
Email / GitHub / Google Scholar / LinkedIn
I am currently a research scientist at Apple working with Vladlen Koltun on autonomous systems and physical intelligence.
I completed my PhD in EECS at MIT, where I was advised by Vikash Mansinghka and Josh Tenenbaum. My PhD research was focused on discovering novel primitives, means of abstraction, and means of composition for probabilistic models and model-based inference and learning algorithms. During my PhD I created the Gen probabilistic programming system. Prior to 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, where I researched machine learning for genomics. I completed my BS in EECS at UC Berkeley, where I worked with Pieter Abbeel on household robotics. My academic research has been funded by the NSF GRFP and the NDSEG fellowship.
