Summary
Zichen Zhang is a research-driven software engineer with six years of experience at the intersection of reinforcement learning, robotics, and multimodal foundation models, currently a Member of Technical Staff at a stealth startup in Seattle. Previously a predoctoral young investigator at the Allen Institute for AI, he contributed to award-winning work in on-policy RL, multimodal autoregressive models, and long-horizon manipulation, with papers highlighted at CoRL, CVPR, ICRA, and NeurIPS workshops. His background includes collaborative research with NVIDIA/SVL on VIMA and a strong foundation in mathematical theory from Macalester College, where he also taught RL, data structures, and complex analysis. Zichen blends an artist’s sensibility and sports enthusiasm with rigorous math and CS to uncover elegant solutions in AI systems, often emphasizing abstractions for planning and generalization in visuomotor tasks. He has a track record of turning theoretical insights into impactful experiments and public-facing publications, and maintains a personal homepage showcasing his work.
6 years of coding experience
Bachelor's degree Mathematics and Computer Science, Bachelor's degree Mathematics and Computer Science at Macalester College
Chinese, English