Summary
Zichen Zhang is an experienced researcher-engineer with 11 years building scalable AI systems, currently a Member of Technical Staff at Skyfall AI focusing on world models and long-horizon reasoning for language agents. He bridges academic rigor and product impact through a PhD from the University of Alberta and roles spanning research labs (Noah’s Ark Lab), startups, and consultancy, with hands-on experience in RL, world models and LLM integration. His work blends elegant algorithms with system-level thinking—moving ideas from papers into robust implementations that scale. Based in Toronto, he has a track record of advancing agent reasoning capabilities and a practical knack for connecting reinforcement learning, learned world models, and large language models in novel ways.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of Alberta
Master of Applied Science, Master of Applied Science at Dalhousie University
High School
Bachelor of Engineering, Bachelor of Engineering at Huazhong University of Science and Technology
English, Chinese