Summary
Ruiqi Zhong is a research-focused software engineer and Member of Technical Staff at Thinking Machines Lab, where he advances human–AI collaboration. He is driven by a vision of aligned AGI and practical human-in-the-loop systems, with hands-on work in LLM safety and collaboration. His background spans academia and industry, including a PhD trajectory at UC Berkeley, research roles at Columbia University and UC Berkeley, and industry research internships at Microsoft Research and Anthropic, culminating in current work at Thinking Machines Lab. He has interdisciplinary experience across NLP, sentiment relation extraction, computational biology, and theory of computing, reflecting a broad research footprint. Based in Berkeley, CA, he earned a BS in Computer Science from Columbia University (with earlier credits from Georgia Tech) and brings nine years of experience delivering research-driven software in academic and industrial settings.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of California, Berkeley
Transferred, Credits Towards Computer Science, 4.0/4.0, Transferred, Credits Towards Computer Science, 4.0/4.0 at Georgia Institute of Technology
Bachelor's degree, Computer Science, 4.00, Bachelor's degree, Computer Science, 4.00 at Columbia University in the City of New York
Chinese, English