Publications: 'Steerable Scene Generation with Post Training and Inference-Time Search' (CoRL 2025), 'Scalable Real2Sim: Physics-Aware Asset Generation Via Robotic Pick-and-Place Setups' (IROS 2025), etc.; Awards: Featured in MIT CSAIL Student Research Spotlight (2025), Graduate Teaching Award for MIT Schwarzman College of Computing (2025), Head of Department's prize from Imperial College London (2022).
Research Experience
Before joining MIT, worked at Ocado Technology for nine months on parallel yaw pick-and-place systems at scale; Interned at Toyota Research Institute's Large Behavior Models team from May 2024.
Education
PhD: Massachusetts Institute of Technology, Advisor: Prof. Russ Tedrake, Group: Robot Locomotion Group; MEng: Imperial College London.
Background
Research interests: scaling realistic simulations for generating training data and evaluation benchmarks, combining model-based and learning-based methods; Professional field: robotic manipulation foundation models; Bio: a third-year PhD student at MIT.
Miscellany
Interests: rock climbing, backpacking, Latin social dancing, specialty coffee.