Vsim
Thomas Pak is currently a Machine Learning R&D Engineer at Vsim, responsible for developing Vlearn, a GPU-accelerated training platform for reinforcement learning in robotics. Thomas previously completed a PhD in Mathematics at the University of Oxford, where involvement included lecturing on programming and serving as a demonstrator for intensive courses. Professional experiences also include internships at MathWorks, focusing on integrating the Parallel Computing Toolbox with Kubernetes and developing a profiler for MATLAB. Additional roles encompass consulting as a Machine Learning Engineer at the Rhodes Artificial Intelligence Lab, working as a Coding Specialist in the DTC Coding Dojo, and a research assistant at the Biosystems Simulation Lab. Thomas holds multiple degrees in STEM fields, including a Master's in Nanoscience from KU Leuven and a Master's in Electrical Engineering from National Chiao Tung University.
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Vsim
Vsim is a multi-physics simulation research and deployment company. Our team builds the best simulation engine that delivers accurate and scalable physics-based simulations in real-time. Our team develops novel and proprietary ML models that allow our partners to create and accelerate their simulations using Vsim as an execution engine. Our technology is used for VFX & animation studios, robotics teams or for reinforcement learning, to mention just a few of the applications.