LBAI
While at SFSU, I lead the Language-Based AI Lab. Our aim was to bridge the well-studied world of programming with code, i.e., using a language, with new ways of programming with data, i.e., using AI/ML. As software becomes increasingly data-driven, new techniques are required to build, reason about, and verify these hybrid systems.
We studied uncertainty quantification of deep learning systems (to reason about AI systems, [Push]), function approximation with derivative information (to enable new applications in science, [DCNN]), neuro-symbolic systems (to understand the mixing of code and data), and adiabatic quantum computing (to leverage new hardware, [a2c]).
Alumni
I was fortunate to mentor a fantastic group of students.
- Kai Yee, Mathematics.
- Chris Camano, Mathematics and Computer Science (pursuing PhD Caltech, NSF GRFP Fellowship).
- Sunny Tan, Computer Science (continuing at SFSU).
- Bryce Goldman, Mathematics and Computer Science (purusing masters at Stanford).
- Pranjal Prafull Newalkar, Computer Science (Joined ADP after graduation).
- Jonathan Tsegaye, Computer Science (Joined TechInSF after graduation).
- Kai Chieh Lo, Computer Science.
- Qin Geng, Computer Science.
- Darshil Dhameliya, Computer Science (Joined Democratizing Education after graduation).