Daniel Kane
Scholar

Daniel Kane

Google Scholar ID: DulpV-cAAAAJ
University of California, San Diego
AlgorithmsComplexityNumber TheoryCombinatoricsProbability
Citations & Impact
All-time
Citations
6,313
 
H-index
38
 
i10-index
128
 
Publications
20
 
Co-authors
26
list available
Contact
Resume (English only)
Academic Achievements
  • Co-authored a book on robust statistics with Ilias Diakonikolas, to be published by Cambridge University Press.
Research Experience
  • Currently a professor at UCSD with a joint appointment between CSE and Mathematics. Teaching courses include: Fall 2025 - Math 96 (Putnam Seminar) and Math 154 (Graph Theory), Winter 2026 - CSE 101 (Introduction to Algorithms), and Spring 2026 - CSE 203A (Randomized Algorithms).
Background
  • Research interests include mathematics and theoretical computer science. In mathematics, focuses on number theory and combinatorics; in computer science, focuses on derandomization, Boolean functions (with particular emphasis on polynomial threshold functions), and machine learning. Recent research has been in computational statistics.
Miscellany
  • Email: dakane@ucsd.edu, dakane@math.ucsd.edu, Gmail: ALadKeenIn