I am a PhD student (MEng/SB 2016) in Computer Science and Artificial Intelligence. I am a member of the Probabilistic Computing Project, advised by Vikash Mansinghka, where we design and build probabilistic systems. My research interests are in probabilistic AI, computational formalisms of probability theory, and algorithmic approaches to statistical data analysis.
A Probabilistic Programming Approach To Probabilistic Data Analysis
Saad, F. and Mansinghka, V. Advances In Neural Information Processing Systems (NIPS), 2016 [PDF].
Journal version in review, preprint at arXiv:1608.05347. [PDF]
Fall 2016: TA for Introduction to Probabilistic Programming, a graduate seminar at MIT.
Summer 2015: Instructor at the Probabilistic Programming for Advanced Machine Learning in Portland, Oregon.