Ming Wu is a founding member of Conflux. Before joining the Conflux team, Ming was a senior researcher at Systems Research Group in Microsoft Research Asia. He has extensive expertise in the design and implementation of distributed systems. He designed and implemented large-scale and highly efficient distributed machine learning systems which were applied in Microsoft products.
Ming earned his Ph.D. from the Institute of Computing Technology, Chinese Academy of Sciences in 2007, and his bachelor degree from University of Science and Technology of China. His main research interests include distributed transaction processing systems, graph computing engines, and artificial intelligence platforms. He has publications from conferences on computer systems, such as SOSP, OSDI, NSDI, ATC, EuroSys, SoCC, VLDB, etc. He served as Program Committee Members of OSDI, ASPLOS, HotDep, and MiddleWare, and also as the Publication Chair of SOSP'17.
