Computer scientist working on programming languages and other infrastructure for probabilistic inference, cognitively inspired AI, and human-computer interaction.
I recently completed my PhD in EECS at MIT, advised by Vikash Mansinghka and Josh Tenenbaum. During my PhD I created the Gen probabilistic programming system. Before MIT, I was an early member of a molecular diagnostics startup, a Master’s student at Stanford University, and an undergraduate student in computer science at UC Berkeley, where I worked with Pieter Abbeel on probabilistic robotics. My graduate school research has been funded by the NSF graduate research fellowship and the NDSEG graduate fellowship program, among other sources.
The best way to contact me is via email at imarcoam at gmail dot com.
Gen: A High-Level Programming Platform for Probabilistic Inference (PDF), PhD thesis, Massachusetts Institute of Technology, 2020.