Feras Saad فِرَاسْ سَعَد

I am an Assistant Professor in the Computer Science Department at Carnegie Mellon, affiliated with the Principles of Programming and Artificial Intelligence groups.

My research group explores the design and implementation of principled probabilistic computing systems that operate with a high degree of automation, accuracy, and scale. This work spans multiple levels of the probability and computing stack, including:

  • artificial intelligence and data science (e.g., Bayesian inference, nonparametric learning)
  • probabilistic programming languages (e.g., program analysis, semantics, synthesis)
  • mathematical foundations (e.g., computability & complexity of stochastic simulation)
My group also maintains open-source software libraries to help practitioners use these techniques in their own problems. See publications, research, software for an overview.

Background

I received the PhD in Computer Science, and MEng/SB degrees in Electrical Engineering and Computer Science, from MIT. My theses on probabilistic programming were recognized with the Sprowls PhD Thesis Award in AI+Decision Making and Johnson MEng Thesis Award in Computer Science. Prior to CMU, I was a Visiting Research Scientist at Google.


Contact

Email Address: fsaad@cmu.edu
Telephone:(412) 268-1805
Admin. Assistant:Oliver Moss
Office:Gates Hillman Complex 9225
Address:Carnegie Mellon University
5000 Forbes Avenue
Pittsburgh, PA 15213