Christos Tzamos
Christos Tzamos is a theoretical computer scientist whose work on learning from noisy data and on mechanism design connects machine learning with economics. He grew up in Athens, studied electrical and computer engineering at the National Technical University of Athens, and wrote an MIT thesis on mechanism design under Constantinos Daskalakis that won the 2017 Sprowls Award. After a postdoc at Microsoft Research New England, he joined the University of Wisconsin–Madison in 2018, and in 2019 he, Ilias Diakonikolas and Themis Gouleakis won a NeurIPS Outstanding Paper Award for the first efficient algorithm for learning linear separators in the presence of Massart noise. An NSF CAREER Award followed in 2022, and in March 2026 he and colleagues at Percepta published “Can LLMs Be Computers?”, a post on running programs inside transformers. He is an associate professor at the University of Athens, a researcher at Archimedes AI and a founding researcher at Percepta.
- Now at
- National and Kapodistrian University of Athens, ARCHIMEDES and Percepta
- Badges
Timeline
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2006
Informatics Olympiad and NTUA
He grows up in Athens, wins a silver medal at the International Olympiad in Informatics in 2006, and studies electrical and computer engineering at the National Technical University of Athens.
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2013
Best paper at EC 2013
As a PhD student in MIT's Theory and Computation group, he wins best paper and best student paper awards at the 14th ACM Conference on Electronic Commerce in 2013. The award-winning work on revenue-optimal auctions links auction design to transportation theory.
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2017
A Sprowls Award thesis at MIT
His MIT PhD thesis on mechanism design, advised by Constantinos Daskalakis, wins the 2017 George M. Sprowls Award for the best computer science PhD thesis in the EECS department.
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2018
Joining the UW–Madison faculty
After a postdoc at Microsoft Research New England, he joins the Department of Computer Sciences at the University of Wisconsin–Madison in the fall of 2018. He plans to continue his research on mechanism design, algorithms and machine learning.
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2019
A NeurIPS Outstanding Paper
In 2019, he, Ilias Diakonikolas and Themis Gouleakis win the NeurIPS Outstanding Paper Award for “Distribution-Independent PAC Learning of Halfspaces with Massart Noise”. The paper gives the first efficient algorithm for learning linear separators in the presence of Massart noise.
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2022
An NSF CAREER Award
He receives a 2022 NSF CAREER Award for the project “Learning Algorithms with Robustness and Efficiency Guarantees”. Vasilis Kontonis and Evangelia Gergatsouli, two of his UW–Madison PhD students, go on to postdocs at UT Austin and Georgia Tech.
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March 2026
A computer inside a transformer
In March 2026, he and colleagues at Percepta publish “Can LLMs Be Computers?”, a post on executing programs inside transformers with exponentially faster inference. The work builds a WebAssembly interpreter into the transformer's weights, and a 2D attention head design cuts the cost of each attention lookup from O(n) to O(log n).
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As of October 2026
Athens professor and Percepta researcher
He is an associate professor in the Department of Informatics and Telecommunications at the University of Athens and a researcher at Archimedes AI. Percepta, an AI transformation company under General Catalyst, counts him as a founding researcher. His research lies at the interface of computer science with machine learning, statistics, probability theory and economics.
Career
- NowNational and Kapodistrian University of AthensAssociate Professor
- NowARCHIMEDESResearcher
- NowPerceptaFounding Researcher
- Until 2018Microsoft ResearchPostdoctoral Researcher
- From 2018University of Wisconsin–Madison
Education
Sources and credits
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- Christos Tzamos comes to UW-Madison researching algorithms and machine learning theory
- Christos Tzamos
- Christos Tzamos – Simons Foundation
- UW-Madison Dept. of Computer Sciences professors Diakonikolas and Tzamos presented with outstanding paper award at NeurIPS 2019
- NeurIPS 2019 Awards
- NeurIPS 2019 Outstanding Paper Awards - KDnuggets
- Can LLMs Be Computers? | Percepta
- Karpathy Praises Transformer's Built-in Computer: Handles 30,000 Tokens per Second and Solves World's Toughest Sudoku


