Summary
Lishuo Pan is a Ph.D. candidate and research-focused engineer with eight years of experience applying statistical learning and multi-robot systems research to real-world problems. Trained in statistics (BS) and computer science (MS, PhD work at Brown and UPenn), Lishuo has driven foundational work on Gaussian processes and anomaly detection at the Shenzhen Research Institute of Big Data and in GRASP Lab before joining Brown. Their expertise spans probabilistic modeling, multi-robot coordination, and applied machine learning, with a consistent research-to-implementation approach. Comfortable bridging theory and experiment, Lishuo brings hands-on experience in multi-robot systems informed by strong statistical foundations and interdisciplinary exposure from UC Berkeley exchange.
8 years of coding experience
4 years of employment as a software developer
Summer+Spring Exchange, EECS, Summer+Spring Exchange, EECS at University of California, Berkeley
Doctor of Philosophy - PhD, Computer Science (Multi-Robot Systems), Doctor of Philosophy - PhD, Computer Science (Multi-Robot Systems) at Brown University
BS, Statistics, BS, Statistics at The Chinese University of Hong Kong, Shenzhen 香港中文大学(深圳)
MS, Computer Science (Multi-robot Systems), MS, Computer Science (Multi-robot Systems) at University of Pennsylvania
English, Chinese, wenzhounese