Luke Hollis
I'm a research scientist in simulation and computational robotics. I'm interested in world model development and simulation environments for embodied AGI. I create simulation environments for the Harvard Computational Robotics Group and several research groups at MIT.
I previously bootstrapped a spatial computing startup and engineered large-scale enterprise 3D rendering pipelines.
Outside of my research, I volunteer and practice western-style boxing.
SELECTED PRESS
PUBLICATIONS
[In Progress] Predictive Real2Sim Digital Twins: A World Model Approach to Deformable Mesh and Soft-Body Simulation Physics
2026Applying world model architectures to predictive physics simulation for deformable objects.
[Title Forthcoming]
2026Simulating human behavior with a conformal inference pipeline and LLMs
[In Progress] Scaling Language-Grounded Splatting to Large Urban Spaces
2026Novel approach to scale language-grounded 3D gaussian splatting techniques for large-scale urban environments.
EXPERIENCE
EDUCATION
PATENTS
Patent-pending systems and methods for leakage-free probabilistic world-state estimation and forecasting from heterogeneous real-world observations. The application covers revision-preserving observation records with distinct event and observation times, point-in-time belief-state reconstruction, uncertainty-aware probabilistic dynamics, evidence grounding, and diagnostics that withhold or qualify forecasts when source coverage is sparse, stale, contradictory, or out of distribution.