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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