About

I’m Mason Nakamura, a fourth-year Ph.D. student in Computer Science at UMass Amherst, working in the College of Information and Computer Sciences (CICS) as a member of the Resource-Bounded Reasoning Lab, under the guidance of Professor Shlomo Zilberstein. I’m currently a research intern at Microsoft Research working on collaborative multi-agent systems. My research is funded by the NSF Graduate Research Fellowship where I work on multi-agent safety and alignment.

I’m interested in the following research areas:

  • Emergent Behaviors of Multi-Agent Systems: What safety-relevant behaviors emerge in long-horizon multi-agent trajectories? How can such behaviors be monitored and mitigated?
  • Safety Evaluations and Auditing of Multi-Agent Systems: How can we prevent catastrophic risks of multi-agent systems via online auditing techniques and robust offline evaluations?
  • Improving Multi-Agent Coordination and Communication: How can we improve multi-agent coordination capabilities? Can we do so without expensive multi-agent reinforcement learning?

If you are interested in collaboration, let’s have a chat!

Previously, I had internships at the Center for Human-Compatible Artificial Intelligence (CHAI) / Berkeley Artificial Intelligence Research (BAIR) (Summer 2023) on building ethically-compliant autonomous systems using constrained deep reinforcement learning, CHAI/BAIR (Summer-Fall 2022) building a formal framework for computationally bounded agents, Moravian University (Summer 2021 NSF REU) working on extremal and spectral graph theory, and Michigan State University (Summer 2020 NSF REU) working on geometric deep learning.

Selected Papers

* indicates equal contribution

Colosseum: Auditing Collusion in Cooperative Multi-Agent Systems

Alignment & SafetyMulti-Agent Systems

Mason Nakamura*, Abhinav Kumar*, Saswat Das*, Sahar Abdelnabi, Saaduddin Mahmud, Ferdinando Fioretto, Shlomo Zilberstein, Eugene Bagdasarian

NeurIPS 2026 papercode

RoboTalk: Learning Multi-Robot Communication and Coordination from Multimodal Demonstrations

Multi-Agent SystemsEmbodied Agents

Dorian Benhamou Goldfajn*, Mason Nakamura*, Saaduddin Mahmud, Justin Svegliato, Kyle H. Wray, Shlomo Zilberstein

arXiv 2026 paper

Terrarium: Revisiting the Blackboard for Multi-Agent Safety, Privacy, and Security Studies

Alignment & SafetyMulti-Agent Systems

Mason Nakamura*, Abhinav Kumar*, Saaduddin Mahmud, Sahar Abdelnabi, Shlomo Zilberstein, Eugene Bagdasarian

arXiv 2025 papercodewebsite

MAPLE: A Framework for Active Preference Learning Guided by Large Language Models

Alignment & Safety

Saaduddin Mahmud, Mason Nakamura, Shlomo Zilberstein

AAAI 2025 paper

Inference-Aware Prompt Optimization for Aligning Black-Box Large Language Models

Alignment & Safety

Saaduddin Mahmud, Mason Nakamura, Kyle H. Wray, Shlomo Zilberstein

AAAI 2026 (oral) paper

Aligning LLMs on a Budget: Inference-Time Alignment with Heuristic Reward Models

Alignment & Safety

Mason Nakamura*, Saaduddin Mahmud*, Kyle H. Wray, Hamed Zamani, Shlomo Zilberstein

arXiv 2025 paper

News

2026

September

June

  • I will be a research intern at Microsoft Research for the summer in Redmond on the Office of Applied Research team!

2025

November

June

2024

December

2023

June

May

  • I graduated summa cum laude from Marist College, majoring in applied mathematics and data science with a minor in computer science.

March

  • I accepted a computer science MS/PhD offer at UMass Amherst in the Resource-Bounded Reasoning Lab directed by Shlomo Zilberstein.

2022

May-November

  • Visiting scholar at the Center for Human-Compatible AI (CHAI) at UC Berkeley on building well-founded AI using metareasoning.

March

  • Our paper on using combinatorics to solve a combinatorial geometry problem has been accepted to MAA Mathematics Magazine!

2021

May-August

  • Visiting scholar at Moravian University as part of an NSF REU on computational methods in discrete mathematics working on spectral and extremal graph theory.

2020

May-August

  • Visiting scholar at Michigan State University as part of an NSF REU on experimental mathematics working on geometric deep learning.