Feras Saad
Scholar

Feras Saad

Google Scholar ID: 1aou7GkAAAAJ
Carnegie Mellon University
Probabilistic ProgrammingBayesian ComputationData ScienceProgramming Languages
Citations & Impact
All-time
Citations
629
 
H-index
10
 
i10-index
10
 
Publications
20
 
Co-authors
21
list available
Resume (English only)
Background
  • Assistant Professor in the Computer Science Department at Carnegie Mellon University
  • Affiliated with the Principles of Programming and Artificial Intelligence research groups
  • Research focuses on probabilistic programming languages, statistics + data science, artificial intelligence, and mathematical foundations of probabilistic computing
  • Develops flexible, sound, and scalable programming systems for probabilistic modeling and inference
  • Combines theoretical and applied research, with an emphasis on open-source software to enable real-world applications