Summary
Yuanjian Liu is a PhD candidate in Computer Science at the University of Chicago with nine years of engineering and research experience focused on high-performance computing, autonomous laboratories, and lossy compression. As a Globus Labs researcher co-advised by Ian Foster and Kyle Chard, he develops self-driving lab systems and compression algorithms, translating research into production-grade C++—work previously applied at Google and Alibaba. His internships produced production contributions (2K+ and 10K+ lines of C++ respectively) and led to benchmarks and a conference paper, highlighting a rare blend of systems-level rigor and experimental science. Comfortable both teaching and shipping code, he combines academic excellence (3.83/4.0) with practical impact on genome compression and budget-allocation algorithms, and he’s actively expanding his public code footprint.
9 years of coding experience
Doctor of Philosophy - PhD, Computer Science, 3.83/4.0, Doctor of Philosophy - PhD, Computer Science, 3.83/4.0 at University of Chicago
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at 浙江大学