Yuan Deng  邓原

I am a Research Scientist in the Google NYC Algorithms and Optimization Group at Google Research, currently working on LLM pre-training, inference-time scaling, and ads auction optimization.

I graduated with a Ph.D. in Computer Science at Duke University, where I had the fortune to be advised by Vincent Conitzer. My thesis was awarded an ACM SIGecom Doctoral Dissertation Award (Honorable Mention) and an IFAAMAS Victor Lesser Dissertation Award (Honorable Mention). 

During my Ph.D. study at Duke, I had also worked closely with Debmalya Panigrahi and Rong Ge, and I was supported by a Google Ph.D. Fellowship and a James B. Duke Fellowship. Before Duke University, I received a bachelor's degree from Yao Class at Tsinghua University, and I was a member of the Computational Economics Group, led by Pingzhong Tang.

See my full list of publications.

Mentoring (Interns & Student Researchers)

• Giannis Fikioris (Cornell): 2025 -

• Zeman Li (USC): 2024 -

• Grigoris Velegkas (Yale): 2023 - 2024 (now at Google Research)

• Jason Cheuk Nam Liang (MIT): 2022 - 2023 (now at Meta)

• Hanrui Zhang (Duke / CMU): 2021 - 2023 (now Assitant Professor at CUHK)

Conference Program Committees / Reviewing: 

• AAAI, AAMAS, COLT, EC, ICALP, ICLR, ICML, IJCAI, NeurIPS, SIGMETRICS, SODA, STOC, WINE, WSDM, TheWebConf

Journal Articles Reviewing: 

• Artificial Intelligence

• Journal of Autonomous Agents and Multi-Agent Systems

• Journal of Machine Learning Research

• Management Science

• Mathematical Social Sciences

• Operations Research

• SIAM Journal on Computing