I’m Itai
I'm a CS PhD student at Harvard University. I am privileged to be advised by Prof. Ariel D. Procaccia.
I am a recipient of the 2025 JPMorgan Chase PhD Fellowship, and I was also supported by the Nicole A. Chen and Karina A. Chen Graduate Student Research Fellowship. I am affiliated with the NSF AI Institute for Societal Decision Making and serve on its Student Leadership Council. Before my PhD I worked as a senior quantitative researcher at WorldQuant (Millennium) and interned in 2025 as a quant at Two Sigma on online learning optimization.
Research
Notation: (α) authors listed alphabetically (r) equal contribution with randomized order among authors marked with †
Pairwise Calibrated Rewards for Pluralistic Alignment
(α) Daniel Halpern, Evi Micha, Ariel D. Procaccia, Itai Shapira
NeurIPS 2025
2025 NSF AI-SDM Workshop on Human-AI Complementarity for Decision Making (Spotlight)
Incentives in Federated Learning with Heterogeneous Agents
(α) Ariel D. Procaccia, Han Shao, Itai Shapira
2025. Under submission
SOAP: Improving and Stabilizing Shampoo using Adam
Nikhil Vyas†, Depen Morwani†, Rosie Zhao, Itai Shapira, David Brandfonbrener, Lucas Janson, Sham Kakade
ICLR 2025
A New Perspective on Shampoo’s Preconditioner
(r) Depen Morwani†, Itai Shapira†, Nikhil Vyas†, Eran Malach, Sham M. Kakade, Lucas Janson
ICLR 2025
Axioms for AI Alignment from Human Feedback
(α) Luise Ge, Daniel Halpern, Evi Micha, Ariel D. Procaccia, Itai Shapira, Yevgeniy Vorobeychik, Junlin Wu
NeurIPS 2024 (Spotlight - 2.1% of submissions)
Learning Social Welfare Functions
(r) Kanad Shrikar Pardeshi†, Itai Shapira†, Ariel D. Procaccia, Aarti Singh
NeurIPS 2024 (Spotlight - 2.1% of submissions)
Bias Detection Via Signaling
(α) Yiling Chen, Tao Lin, Ariel D. Procaccia, Aaditya Ramdas, Itai Shapira
NeurIPS 2024
Generative Social Choice
(α) Sara Fish, Paul Gölz, David C. Parkes, Ariel D. Procaccia, Gili Rusak, Itai Shapira, Manuel Wüthrich
[ArXiv] [OpenAI Blog] [Ariel's talk]
EC 2024
Optimal Engagement-Diversity Tradeoffs in Social Media
(α) Fabian Baumann, Daniel Halpern, Ariel D. Procaccia, Iyad Rahwan, Itai Shapira, Manuel Wüthrich
2024 ACM Web Conference
Expressivity of Shallow and Deep Neural Networks for Polynomial Approximation
Itai Shapira
2023