research bio

Hello, I’m Eisuke (英祐). I am generally interested in robotics, machine learning, and probabilistic inference. To this end, I have performed research in reinforcement learning and reward learning, algorithmic human-robot interaction, approximate Bayesian inference for active learning, RLHF through various feedback modalities, and evolutionary algorithms for non-convex optimization problems. My long-term mission is to contribute to the development of robots to human-inhabited environments (such as in hospitals or the home) that collaborate with us, with reasoning.

• Education:
  • University of Southern California, MS in CS (expected Dec 2027)
  • SUNY Binghamton, BS in Computer Science (graduated May 2025)
• Research Experience:
  • University of Southern California, Prof. Erdem Biyik (2026-present, 2024-2025)
  • Purdue University, Prof. Rohan Paleja (2025-present)
  • SUNY Binghamton, Prof. Shiqi Zhang (2022-2024)
  • New York University, Prof. Chen Feng (2022-2023)
• Professional Experience:
  • MIT Lincoln Laboratory, Dr. Erfaun Noorani and Jason Nezvadovitz (Summer 2025)