Brian Bullins
Scholar

Brian Bullins

Google Scholar ID: PCUwf-8AAAAJ
Assistant Professor, Purdue University
OptimizationMachine Learning
Citations & Impact
All-time
Citations
1,684
 
H-index
16
 
i10-index
19
 
Publications
20
 
Co-authors
17
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • Published papers in top conferences such as NeurIPS, COLT, ICML, etc.; Served as Area Chair for NeurIPS 2025 and ICML 2025; Research supported by the National Science Foundation.
Research Experience
  • Currently an assistant professor in the Department of Computer Science at Purdue University; Previously, a research assistant professor at the Toyota Technological Institute at Chicago (TTIC).
Education
  • PhD in Computer Science from Princeton University, graduated in 2019, advised by Elad Hazan; Bachelor's degree in Computer Science and Mathematics from Duke University as a Benjamin N. Duke Scholar.
Background
  • Research interests lie at the intersection of optimization and machine learning, both in theory and practice. Specifically, worked on improving matrix estimation techniques for faster higher-order methods for convex and non-convex optimization, in both sequential and distributed settings.