I am a PhD student at Princeton University working with Prof. Elad Hazan.

I received my MEng in Computer Science from MIT where I worked with Constantinos Daskalakis and Yuval Dagan. Prior to that, I graduated from MIT with a Bachelor in Computer Science and Engineering.

My research interests lie broadly somewhere along the intersection of online learning, control theory and optimization.

Feel free to contact me at: aa2279 at princeton dot edu

Publications

Alternates, Assemble! Selecting Optimal Alternates for Citizens’ Assemblies
Angelos Assos, Carmel Baharav, Bailey Flanigan, Ariel Procaccia
Economics and Computation (EC) 2025 Link

Computational Intractability of Strategizing against Online Learners
Angelos Assos, Yuval Dagan, Nived Rajaraman
Conference On Learning Theory (COLT) 2025 Link

Maximizing utility in multi-agent environments by anticipating the behavior of other learners
Angelos Assos, Yuval Dagan, Constantinos Daskalakis
NeurIPS 2024 Link

Online learning and solving infinite games with an erm oracle
Angelos Assos, Idan Attias, Yuval Dagan, Constantinos Daskalakis, Maxwell Fishelson
Conference On Learning Theory (COLT) 2023 Link

Education

• PhD in Computer Science, Princeton University, 2030 (Expected)
• MEng in Computer Science, MIT, 2024
• BSc in Computer Science and Engineering, MIT, 2023

Work Experience

Software Engineer, Bloomberg (2025)

Research Intern, Athena Research Institute (Summer 2022 & Summer 2023)

Quantitative Research Intern, Tower Research Capital (Winter 2022)

Software Engineer Intern, ASML (Summer 2021)

Teaching

• TA for Design and Analysis of Algorithms (6.1220), MIT (Spring 2023-Spring 2024)
• Grader for Abstract Algebra I (18.701), MIT (Spring 2021)

Service & Awards

Service

• NeurIPS 2025 Reviewer (Outstanding Reviewer, Top 8%)

Awards

• Stanley J. Seeger Graduate Award (2025)
• Elias P Gyftopoulos Scholarship (2019 – 2023)
• Ploussios Scholarship (2019 – 2023)
• International Mathematics Olympiad (IMO): Bronze Medal (2017, 2018)