Kabir Aladin Verchand
Scholar

Kabir Aladin Verchand

Google Scholar ID: TN-sNaMAAAAJ
Assistant Professor, University of Southern California
StatisticsMachine learningOptimizationMathematics of data
Citations & Impact
All-time
Citations
206
 
H-index
7
 
i10-index
5
 
Publications
17
 
Co-authors
22
list available
Resume (English only)
Academic Achievements
  • Published several papers including 'State evolution beyond first-order methods I: Rigorous predictions and finite-sample guarantees' (preprint) and 'Sharp global convergence guarantees for iterative nonconvex optimization: A Gaussian process perspective' (Annals of Statistics). Runner-up for Best paper prize for young researchers in continuous optimization by the Mathematical Optimization Society.
Research Experience
  • Held postdoctoral appointments at the University of Cambridge in the Department of Pure Mathematics and Mathematical Statistics and at the Georgia Institute of Technology in the Industrial and Systems Engineering department.
Education
  • PhD in Electrical Engineering from Stanford University and BS in Electrical Engineering and Computer Science from UC Berkeley.
Background
  • Assistant professor in the department of Data Sciences and Operations at the Marshall School of Business, University of Southern California (USC). Broadly interested in problems at the intersection of optimization, statistics, and computational complexity.
Miscellany
  • Previously published under the name Kabir Aladin Chandrasekher.