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 explores the design and implementation of principled probabilistic inference systems that operate with a high degree of automation, accuracy, and scale. My interests span multiple levels of the computation stack, including:

  • statistical inference and data science, e.g., Bayesian methods, nonparametrics;
  • probabilistic programming languages, e.g., semantics, compilers, program synthesis;
  • mathematical foundations, e.g., computability and complexity of stochastic simulation.
I also maintain open-source software libraries to help practitioners use these techniques in their own problems. See research and software for an overview.

Background

I received the PhD, MEng, and SB degrees in 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