Welcome to Ran's domain!
I just graduated with a Ph.D. in Operations Research (OR) from New York University, Stern School of Business, specializing in probability theory and stochastic processes.
I am also on the job market now.
My Ph.D. research was motivated by queueing theory in Operations Research, but it revolves around probability theory/stochastic processes and is related to differential geometry. From an applied perspective, my Ph.D. research applies to Operations Research, Machine Learning/Deep Learning.
Mathematically, the center of my Ph.D. study/research is in probability theory, with its applications in Operations Research (OR); with courses taken on both the track for Ph.D. in probability at NYU Courant and the track for Ph.D. in OR at NYU Stern. Probability theory goes through my research interests, but I am also driven to uncover the hidden connections from the probability theory to other disciplines, as well as the mathematical principles hidden behind many exciting works in other fields of applied research, for which I aim to provide solutions or theory on the fundamental level to understand the observed phenomenon in the research of applied sciences, by leveraging the tools including the (broad) probability theory, stochastic processes, and methods of global analysis on manifolds.
My training background is a Ph.D. in OR, specializing in probability theory (New York University, United States); M.S. in mathematical sciences, specializing in probability theory (New York University, United States); M.S. in mathematical sciences, specializing in differential geometry-global analysis on manifold (Nankai University, China); B.S. in pure mathematics (Nankai University, China).
If you have similar research interests/motivations, including but not limited to probability theory, differential geometry methods, and their applications, you can reach out to me. For any questions or comments, please message me at zliu@stern.nyu.edu or zl1011@stern.nyu.edu.