David Betancourt, Ph.D.

I'm working on privacy-preserving machine learning for advertising and recommendation applications.

I completed my Ph.D. in the School of Computational Science and Engineering at Georgia Tech, where I worked on "Interval Deep Learning" to solve complex problems under uncertainty.

My research interests are broadly in machine learning algorithms that can be used in domains under significant uncertainty—with randomness, imprecise data, hidden information, and partial observability. My research has been applied in engineering (machine learning for material prediction), finance (deep reinforcement learning for market trading), cloud computing, and cyber-security.