معرفی
Ying Zhang serves as an Assistant Professor at The Hong Kong University of Science and Technology (Guangzhou) within the Fintech Thrust, with her office located in W1-310. She holds a Ph.D. in Mathematics from the Maxwell Institute Graduate School in Analysis and its Applications (MIGSAA), a collaborative doctoral training center between Heriot-Watt University and The University of Edinburgh, supervised by Professor Sotirios Sabanis.
Her academic background includes:
- Ph.D. in Mathematics from MIGSAA (Heriot-Watt University and The University of Edinburgh) under Prof. Sotirios Sabanis
- Postdoctoral Fellowship at Nanyang Technological University under Prof. Ariel Neufeld
Dr. Zhang's research focuses on developing numerical algorithms for non-linear random systems, with significant applications in machine learning and finance. Key areas include Markov Chain Monte Carlo (MCMC) methods for high-dimensional Bayesian inference and Langevin dynamics-based approaches for stochastic optimization in data-intensive financial and AI contexts. Her work bridges theoretical mathematics with practical computational challenges.
She is currently recruiting PhD students with strong quantitative backgrounds in mathematics, statistics, financial engineering, or related disciplines, requiring applicants to submit CVs and academic transcripts via email.
