I am a final-year M.S. student in the Department of Computer Science at Brown University, advised by George Konidaris, Daniel Ritchie, and Thomas Serre. Previously, I have enriched my research experience at the National University of Singapore (NUS). I earned my B.S. in Computer Science from Fort Hays State University (FHSU).

My research focuses on world models, generative modeling, and embodied intelligence, building systems that reason about physical dynamics and interaction to support planning and decision-making. I am grateful to be supported by the ONR and REPRISM MURI, and the ANR-3IA Artificial and Natural Intelligence Toulouse Institute grants.

“Vutha” is my surname, “Chealyfey” is my given name, and “Lyfey” is the name I usually go by. On a side note, my initials are “CV,” so I was destined to do computer vision. I am actively seeking for PhD opportunities during the 2026-27 admissions cycle.

News

  • May 26, 2026. Thanks to Thomas Serre for sponsoring my summer research!
  • May 08, 2026. Completed my second semester at Brown, CSCI 2952N: Advanced Topics in Deep Learning with Chen Sun, where I led a project on Feature-Based Geodesic Interpolation with Diffusion and Flow Models, and CSCI 2951X: Reintegrating AI with George Konidaris, where I worked on Learning Improved Inverse Dynamics Models for Visual Planning from Actionless Video.
  • April 20, 2026. Gave a talk at Brown's Visual Computing Seminar titled Feature-Based Geodesic Interpolation with Diffusion and Flow Models. Thanks to Daniel Ritchie and James Tompkin for hosting me!
  • Sep 04, 2025. Started my Master of Science in Computer Science at Brown University.

Publications

Feature-based Geodesic Interpolation for Diffusion and Flow Models

Feature-based Geodesic Interpolation for Diffusion and Flow Models

Chealyfey Vutha, Zheyu Shi, Yuqiao Guan, Arman Maesumi, Daniel Ritchie

Under Submission

We study interpolation in diffusion and flow models by following feature-aware geodesic paths, which enables smoother and more semantically consistent transitions between generated images.

Teaching

Experience

  • Jan 2025 – Aug 2025 AI Engineer at Ministry of Post and Telecommunications (MPTC).
  • Jul 2023 – Dec 2024 Student Researcher at National University of Singapore (NUS).