Daniel Huang
Scholar

Daniel Huang

Google Scholar ID: VTe4SGUAAAAJ
Assistant Professor
probabilistic programmingAI for sciencequantum computing
Citations & Impact
All-time
Citations
291
 
H-index
9
 
i10-index
9
 
Publications
20
 
Co-authors
12
list available
Resume (English only)
Academic Achievements
  • 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.