Rayan Saab

Rayan Saab is an Assistant Professor in the Department of Mathematics at the University of California, San Diego. His research focuses on the mathematics of information, data science, and signal processing, with an emphasis on quantization, compressed sensing, and machine learning algorithms.

• Education: Ph.D. in Electrical and Computer Engineering from the University of British Columbia (2010).

His work bridges theoretical mathematics and practical applications in data acquisition, digitization, and processing. Recent publications analyze quantization methods for neural networks and compressed sensing systems. He has taught graduate and undergraduate courses in numerical analysis, optimization, and mathematical methods in data science.

Research trends include:

• Developing quantization algorithms with provable guarantees.
• Applications in high-dimensional data and machine learning.
• Stochastic frameworks for neural network compression.

Scientific awards:

• Banting Postdoctoral Fellowship (2011-2013).
• Hellman Fellowship.

Advising and grants:

• Advised students in thesis projects related to signal processing and data science.
• Received funding for research in mathematical data acquisition.

Contact: rsaab@ucsd.edu | Office: AP&M 5157.