Natalie Collina
Scholar

Natalie Collina

Google Scholar ID: Q-Kgd9UAAAAJ
University of Pennsylvania
Algorithmic Game TheoryMachine LearningHuman-AI Collaboration
Citations & Impact
All-time
Citations
156
 
H-index
7
 
i10-index
6
 
Publications
17
 
Co-authors
25
list available
Contact
Resume (English only)
Academic Achievements
  • Awarded an IBM PhD Fellowship in Trustworthy AI; received both Best Paper and Best Student Paper at the ACM Conference for Economics and Computation; recognized as a Rising Star in EECS; multiple papers accepted to top conferences such as SODA'26 and EC'25.
Research Experience
  • Currently pursuing a PhD at the University of Pennsylvania, advised by Michael Kearns and Aaron Roth. Interned at Microsoft Research New England in Summer 2025.
Education
  • Graduated from Princeton University in 2019, advised by Matt Weinberg; worked as a software engineer at Google from 2019-2021; interned at Microsoft Research New England in Summer 2025, hosted by Alex Slivkins.
Background
  • 5th-year PhD student in Computer Science at the University of Pennsylvania, focusing on the intersection of AI and Game Theory, particularly interested in repeated strategic interactions between human and AI agents.
Miscellany
  • Organized academic events such as the EC Gender Inclusion Workshop.