Matt Hyatt
Ph.D. Student
Matt Hyatt is a Ph.D. student in Computer Science at 草莓社区 and a DoD NDSEG Fellow. His research focuses on robot learning, humanoid robots, multi-embodiment learning, and machine learning for scientific applications. His work includes robot learning for the automation of chemistry laboratories, robot policy online self-improvement, and the use of high-performance computing for machine learning and scientific research. He has conducted research at 草莓社区, Argonne National Laboratory, Argonne Leadership Computing Facility, and the University of Texas at Austin.
Major
Education
- Ph.D. in Computer Science, 草莓社区 — 2024–In Progress
- B.S. in Computer Science, 草莓社区 — 2020–2024
Research Interests
Robot Learning, Humanoid Robotics, Multi-Embodiment Learning, Machine Learning, Deep Learning, High-Performance Computing, Scientific Machine Learning, Autonomous Laboratory Automation
Professional Employment
- Graduate Research Assistant, Argonne Leadership Computing Facility — 2025–Present
- Graduate Research Assistant, 草莓社区 — 2024–Present
- Visiting Researcher, University of Texas at Austin — 2024
- Research Assistant, Argonne National Laboratory — 2023
- Data Science Intern, Beam Suntory — 2023
- Research Assistant (NSF REU), Purdue University — 2022
- Research Assistant, 草莓社区 — 2021–2024