Scholar
Ning Ning
Google Scholar ID: FVYZMj0AAAAJ
Texas A&M University
Citations & Impact
Citations
416
H-index
10
i10-index
11
Publications
20
Co-authors
0
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- - Associate Editor for Bayesian Analysis (since Jan. 2025)
- - Associate Editor for Journal of Computational and Graphical Statistics (since Jan. 2024)
- - Associate Editor for Statistics and Computing (since Jul. 2023)
- - Paper 'Well-posedness and Propagation of Chaos for McKean-Vlasov Stochastic Variational Inequalities' accepted by Journal of Theoretical Probability
- - Delivered invited talks at various international conferences, including an invited colloquium talk in the Department of Statistics and Actuarial Science at the University of Iowa, a talk at the 8th International Conference on Econometrics and Statistics (EcoSta 2025) at Waseda University, Tokyo, Japan, and organized and chaired the Invited Session 'Innovative Methodologies for Spatiotemporal Modeling and Inference' at the 2025 Joint Statistical Meetings (JSM) in Nashville, Tennessee, with a roundtable presentation titled 'Bayesian Analysis in Emerging Frontiers'
Research Experience
- - Assistant Professor in the Department of Statistics at Texas A&M University, with affiliation to the Institute of Data Science and the Institute for Quantum Science and Engineering
- - Co-founder of the Stochastic Processes Seminar in the Department of Mathematics
- - Postdoctoral Research Associate in the Department of Applied Math at the University of Washington, Seattle (one year)
- - Postdoctoral Research Fellow in the Department of Statistics at the University of Michigan, Ann Arbor (three years)
- - Worked as a software developer/database architect in industry in Los Angeles for about 4 years, specializing in massive data analysis, parallel computing, and user-friendly platform development with multiple languages such as R, C, C++, Python, Java, SQL/Transaction SQL, Matlab, SAS, etc. Proficient in operating systems like Windows, Mac, and Linux, as well as cloud computing
Education
- - B.S. in Math from Shandong University's China Math Base
- - M.S. in Math from the Department of Mathematics at the University of Southern California
- - Ph.D. in the Department of Statistics and Applied Probability at UCSB (Math Subject Classification: 60 – Probability Theory and Stochastic Processes)
Background
- Research interests include stochastic processes, Markov chains, time series, networks, machine learning, and quantum computing. Specific research areas cover modern stochastic processes/Markov chains/time series analysis, networks/combinatorics/graphical models, high-dimensional data, stochastic algorithms, Monte Carlo methods, hidden Markov/non-Markov models, asymptotics, online learning, reinforcement learning, and their quantum counterparts.
Co-authors