Summary
Feng Zhang is an associate professor at Renmin University of China with nine years of experience bridging research and systems in parallel and distributed computing, machine learning, and heterogeneous database systems. Trained at Tsinghua (PhD) and Xidian (BS), he blends theoretical Bayesian methods—Gaussian processes, Bayesian nonparametrics, and point processes—with practical system-building, including work on distributed and parallel system development during a visiting stint at NC State. His background includes industry research on deep neural networks at AMD and a consistent academic trajectory from assistant to associate professor, reflecting both publication and mentoring productivity. Based in Haidian, Beijing, he runs research at the Key Laboratory of Data Engineering and Knowledge Engineering and maintains an active lab site showcasing projects that translate probabilistic modeling into scalable system implementations.
9 years of coding experience
3 years of employment as a software developer
BS, School of Computer Science, BS, School of Computer Science at Xidian University
Doctor of Philosophy (Ph.D), Computer Science, Doctor of Philosophy (Ph.D), Computer Science at Tsinghua University
Chinese, English