Summary
Jeffrey Wu is a doctoral researcher in computer science at Columbia University with nine years of experience spanning robotics, causal AI, and software engineering. He earned BA and MS degrees from UC Berkeley, where he contributed to Berkeley AI Research (RAIL) and taught/assisted courses in networks and optimization. Jeffrey has industry experience as an SDE intern on AWS Redshift and brings practical systems know-how to his research on causal AI. A self-described "love hacker and vim" user, he combines hands-on coding fluency with rigorous academic training. Based in New York, he blends experimental robotics work with scalable software practices, often bridging prototype research and production-grade engineering. Outside formal roles, his homepage reflects a taste for tidy technical demos and reproducible research that signal strong developer ergonomics.
9 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Computer Science, 4.0/4.0, Master of Science - MS, Computer Science, 4.0/4.0 at University of California, Berkeley
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Columbia University
High School Diploma, High School Diploma at Amador Valley High School
English, Chinese