Scholar
Ian Gemp
Google Scholar ID: 5vo3MeEAAAAJ
Google DeepMind
machine learning
artificial intelligence
optimization
game theory
dynamical systems
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Citations & Impact
All-time
Citations
1,293
H-index
17
i10-index
22
Publications
20
Co-authors
53
list available
Contact
GitHub
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Publications
7 items
Chaos in Autobidding Auctions
2026
Cited
0
Tight Inapproximability for Welfare-Maximizing Autobidding Equilibria
2026
Cited
0
Code World Models for General Game Playing
2025
Cited
0
Solving Zero-Sum Convex Markov Games
2025
Cited
1
Re-evaluating Open-ended Evaluation of Large Language Models
2025
Cited
0
Deviation Ratings: A General, Clone-Invariant Rating Method
2025
Cited
0
Soft Condorcet Optimization for Ranking of General Agents
arXiv.org · 2024
Cited
0
Resume (English only)
Academic Achievements
Conference publications have been recognized with awards in areas of eigendecomposition, equilibrium computation, and social choice theory.
Research Experience
[{'Position': 'Research Scientist', 'Institution': 'Google DeepMind', 'Duration': '2019 - Present'}, {'Position': 'Research Assistant', 'Institution': 'UMass Amherst', 'Duration': '2013 - 2018'}, {'Position': 'Applied Scientist Intern', 'Institution': 'AWS AI Algorithms', 'Duration': 'Summer 2018'}, {'Position': 'Data Science Intern', 'Institution': 'Adobe Research', 'Duration': 'Summer+Fall 2016'}, {'Position': 'Consultant', 'Institution': 'Capgemini SA&I', 'Duration': '2011-2013'}, {'Position': 'Research Assistant', 'Institution': 'Northwestern University', 'Duration': '2007-2010'}, {'Position': 'Research Assistant', 'Institution': 'UT Medical Center', 'Duration': 'Summer 2008/2009'}]
Education
[{'Degree': 'PhD', 'School': 'University of Massachusetts Amherst', 'Advisor': 'Sridhar Mahadevan', 'Year': '2018', 'Field': 'Computer Science'}, {'Degree': 'MS', 'School': 'University of Massachusetts Amherst', 'Year': '2016', 'Field': 'Computer Science'}, {'Degree': 'MS', 'School': 'Northwestern University', 'Year': '2011', 'Field': 'Applied Mathematics'}, {'Degree': 'BS', 'School': 'Northwestern University', 'Year': '2010', 'Field': 'Mechanical Engineering/Applied Mathematics'}, {'Degree': 'High School', 'School': 'Kinkaid', 'Year': '2006'}]
Background
Research interests include developing equilibrium algorithms and novel game-theoretic formulations of learning problems. His research at the intersection of LLMs and game theory has been featured in Wired and Quanta magazine.
Miscellany
Personal interests not mentioned
Co-authors
53 total
Yoram Bachrach
Meta (FAIR)
Sridhar Mahadevan
Director, Adobe Research & Professor, University of Massachusetts, Amherst
Luke Marris
Research Engineer at DeepMind, PhD from University College London
Georgios Piliouras
Google DeepMind, Singapore University of Technology and Design
Marc Lanctot
Research Scientist, Google DeepMind
Andrea Tacchetti
Google DeepMind
Thore Graepel
Global Lead Computational Science, AI & ML at Altos Labs and Chair of Machine Learning, UCL
Co-author 8
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