Chia-hsien Shih is a research scientist and soon-to-be Ph.D. in Mechanical Engineering with eight years of experience applying machine learning to soft-robot manipulation and locomotion. He builds physical simulation environments and leverages Python, TensorFlow/PyTorch, and Docker to develop imitation learning and multi-agent reinforcement learning solutions for embodied AI. His academic work includes reconstructing robotic prototype properties from video and integrating fluid–structure modeling from time at Technion, reflecting a strong blend of theory and hands-on experimentation. He has industrial research experience at Meta and Fujitsu, where he applied GenAI and visual-language models to real-world products. Based in Menlo Park, he thrives in collaborative, Git-driven teams and has a track record of teaching and building interactive learning tools for engineering students. An understated strength is his cross-disciplinary fluency—from front-end prototyping to cloud-enabled ML experiments—making him effective at turning research into deployable systems.
7 years of coding experience
7 years of employment as a software developer
exchange student program, exchange student program at Technion - Israel Institute of Technology
Bachelor of Science (BS), mechanical engineering, Bachelor of Science (BS), mechanical engineering at National Taiwan University
high school, high school at Taipei First Girls High School
Doctor of Philosophy - PhD, Mechanical Engineering, 3.9, Doctor of Philosophy - PhD, Mechanical Engineering, 3.9 at University of Illinois Urbana-Champaign
Contributions:22 pushes, 1 branch in 1 year 1 month
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