Previously an assistant professor of computer science at SFSU; academic research spanned AI, programming languages/formal methods, and quantum computing.
Research Experience
Founder of Base26 Labs, which bridges code-heavy traditional software with data-heavy AI methods to solve digital-to-physical translation problems.
Education
Completed PhD at Harvard, advised by Professor Greg Morrisett. Also fortunate to collaborate with mentors like Professor Dawn Song (UC Berkeley) and Jean-Baptiste Tristan (AWS).
Background
Research interests include AI, formal languages, and quantum computing. Was an assistant professor of computer science at San Francisco State University (SFSU).
Miscellany
Contact: huang.e.daniel@gmail.com; also has a presence on Google Scholar.