Summary
Pan Zhang is an associate professor at the Institute of Theoretical Physics, CAS, with eight years of research experience at the interface of computer science, applied mathematics and statistical physics. His work focuses on spectral clustering, community detection, compressed sensing, combinatorial optimization and neural networks, leveraging tools such as random matrix theory, spin glass theory and message-passing algorithms. He developed and applied cavity/replica methods and spectral techniques during postdocs at Santa Fe Institute, ESPCI and Politecnico di Torino, bridging rigorous theory and practical inference algorithms. Notably, his background in theoretical physics informs novel perspectives on phase transitions in inference problems, leading to sharper characterizations of algorithmic limits. Based in Beijing, he combines deep theoretical training with sustained contributions to algorithmic foundations of network clustering and high-dimensional inference.
8 years of coding experience
Doctor of Philosophy (PhD), Theoretical Physics, Doctor of Philosophy (PhD), Theoretical Physics at Lanzhou University
Visiting Student(PhD), Theoretical Physics, Visiting Student(PhD), Theoretical Physics at Chinese academy of sciences
Chinese, English, Italian, French