Dravyansh Sharma
Scholar

Dravyansh Sharma

Google Scholar ID: N1q-egYAAAAJ
Toyota Technological Institute at Chicago
Machine learning theoryoptimizationadversarial robustnessgame theory
Citations & Impact
All-time
Citations
387
 
H-index
10
 
i10-index
13
 
Publications
20
 
Co-authors
14
list available
Contact
Resume (English only)
Academic Achievements
  • Multiple papers accepted at top conferences like NeurIPS, IJCAI, UAI; awarded Top Reviewer at UAI 2025; one paper published in TMLR 2025; involved in several research projects, including collaborations with Nina Balcan.
Research Experience
  • Gave talks and tutorials at multiple academic conferences and seminars; helped organize academic meetings.
Education
  • Completed PhD in the Computer Science Department at Carnegie Mellon University, advised by Nina Balcan.
Background
  • Currently an IDEAL Postdoc in Chicago. Interested in designing algorithms for machine learning with strong and provable performance guarantees.
Miscellany
  • Teaching a new course TTIC 31290 - Machine Learning for Algorithm Design; participated in various workshops and conferences, giving talks and presenting posters.