Yi-An Ma
Scholar

Yi-An Ma

Google Scholar ID: OkOGR_8AAAAJ
UC San Diego
scalable machine learningBayesian inferenceoptimizationstochastic processesdynamical systems
Citations & Impact
All-time
Citations
5,613
 
H-index
23
 
i10-index
44
 
Publications
20
 
Co-authors
27
list available
Contact
Resume (English only)
Academic Achievements
  • Recipient of Facebook Research Award; involved in the NSF Artificial Intelligence Institute - The Institute for Learning-enabled Optimization at Scale.
Research Experience
  • Currently an assistant professor at the Halıcıoğlu Data Science Institute and an affiliated faculty member at the Computer Science and Engineering Department of University of California San Diego. Previously spent a year as a visiting faculty at Google Research and was a post-doctoral fellow at EECS, UC Berkeley.
Education
  • Ph.D. from University of Washington; Bachelor's degree from Shanghai Jiao Tong University
Background
  • Research Interests: Scalable inference methods for credible machine learning, including designing Bayesian inference methods to quantify uncertainty in the predictions of complex models, understanding computational and statistical guarantees of inference algorithms, and leveraging these scalable algorithms to learn from time series data and perform sequential decision making tasks. Professional Field: Data Science, Computer Science and Engineering.