The world model research lab
World-model researchers lack high-fidelity visual simulations to accurately study and train systems on appearance, behavior, and interaction in realistic environments.
Interface builds neural simulation systems that generate high-fidelity visual world models capturing appearance, behavior, and interaction.
World-model research teams and AI labs building and evaluating embodied or simulation-based AI systems.
Co-Founder & CEO @ Interface — Building https://onestop.sh Prior to Interface, I managed global AI transformation at McKinsey. I studied at MIT with expertise in data analytics and simulation.
Co-Founder & CTO @ Interface -> Check out our latest product @ onestop.sh Prior to Interface: Quant Dev at Citadel building real time risk infra and analytics. From low-latency ETL to market simulations for Commodities and Fixed Income. Before Citadel I studied Electrical Engineering & Computer Science at MIT where I did both my undergrad and masters with a concentration in distributed and embedded system development.



