Bo Zhang


I am a Research Staff Member at the newly formed IBM Research AI (Artificial Intelligence) division. I am interested in synthesizing principles and ideas from different quantitative, scientific, and engineering disciplines, and furthermore applying them to guide the selection, development, and orchestration of more detailed methods for solving real world challenges in the era of AI.

I am organizing a session on the interface between operations research and machine learning at INFORMS Annual Meeting 2018. I am also on the program committee for the AAAI 2019 and the IFIP Performance 2018.

I am currently working on mathematical modeling, probability, and optimization foundations of theoretical and applied problems in AI, machine learning, and statistics. I have been the chair of the Operations Research PIC (Professional Interest Community) and a co-chair of the Reasoning PIC at IBM Research. I have held visiting scholar or adjunct faculty positions with New York University, Columbia University, the U.S. Federal Reserve Board, Bell Labs, the Center for Mathematics and Computer Science in the Netherlands, and National University of Singapore. I have a mathematical academic background with a specialization in applied probability and stochastic optimization. My Ph.D. thesis work done at Georgia Tech was on novel, important applications of the beautiful mathematical principle of asymptotics in stochastic (i.e., uncertain) environments, and part of the work won the First Place of 2010 INFORMS George E. Nicholson Student Paper Competition.

The theoretical problems and application areas that I have worked on are partly reflected by my papers and inventions listed on this web page. You can contact me at or

Publications and Preprints


Patent Applications