Summary
Chia-man Hung is a machine learning researcher with a DPhil from the University of Oxford and a decade of experience applying ML across robotics, aerospace, and space science. He combines deep generative modelling, reinforcement learning and motion planning expertise with practical engineering experience from roles at J.P. Morgan, Google, and the Frontier Development Lab collaborating with ESA. His background in elite French and Taiwanese institutions (École Polytechnique, ENS Paris-Saclay, Université Paris-Saclay) and a Clarendon Scholarship reflects strong mathematical foundations paired with applied data-science training. He has moved seamlessly between research and production: developing onboard ML for space weather forecasting and shipping Google Assistant software. Comfortable with both theory and systems, he often tackles problems at the intersection of planning, perception and uncertainty. A less obvious strength is his early experience in graph theory and quality-control analytics, which informs a rigorous, data-driven approach to complex system design.
10 years of coding experience
1 year of employment as a software developer
High School Science, High School Science at National Experimental High School, Hsinchu Science Park, Taiwan
Engineer’s Degree Computer Science, Engineer’s Degree Computer Science at Ecole Polytechnique
Master’s Degree Data Science Applied Mathematics, Master’s Degree Data Science Applied Mathematics at Université Paris-Saclay
Machine learning Applied Mathematics, Machine learning Applied Mathematics at École Normale Supérieure Paris-Saclay
Doctor of Philosophy (DPhil) Machine Learning & Robotics, Doctor of Philosophy (DPhil) Machine Learning & Robotics at University of Oxford
Engineer’s Degree Data Science, Engineer’s Degree Data Science at Télécom Paris
Bachelor’s Degree Mathematics physics computer science, Bachelor’s Degree Mathematics physics computer science at Lycée Louis le Grand
Chinese, French, English, Japanese, German, Mandarin, Russian