Mathematics Webinar | Stochastics: Analysis and Statistics
the chair
23rd Mathematics Webinar
Stochastics: Analysis and Statistics
It is my great pleasure and privilege to welcome you to today’s webinar on “Stochastics: analysis and statistics”. I am honored to serve as the chair of this session and to facilitate the presentations and exchange of ideas on the current state of the art in this field and its related topics.
In recent times, with the help of AI, researchers can easily find the information they need for their research exploration. However, the inter-person exchange is still an indispensable way for our humanity to expand our knowledge boundaries. The webinar is one of the most effective and economic ways for this inter-person interaction. This webinar features three key talks presented by rising star experts. The topics range from the Bayesian nonparametrics, learning of single-layer attention-style models and further analysis of stochastic partial differential equations, including Dirichlet processes, stochastic differential equations, stochastic partial differential equations, Attention-Style Models, Feynman–Kac formula, Bernstein–von Mises theorem, Berry–Esseen bounds, statistical learning, minimax rate.
Audience are encouraged to raise questions and express opinions or any comments during and after each lecture.
Date: 17 April 2026
Time: 2:00 pm CEST | 8:00 am EDT
Webinar Secretariat: journal.webinar@mdpi.com
Meet the Event Chair
Meet Our Speakers
Dr. Junxi Zhang
Department of Mathematics & Statistics, Concordia University, Montreal, Canada;
Junxi Zhang got his Ph.D in statistics from the University of Alberta in 2023 and continued to stay in the University of Alberta for a postdoctoral position. He joined Concordia University, Montreal for a tenure track assistant professor position 2024. His research focuses on probability, random measures, Bayesian nonparametrics, trustworthy AI, and optimization in reinforcement learning. He published a sequence of papers in top journals including Bayesian Analysis, Canadian Journal of Statistics, Scientia Sinica Mathematica, NeurIPS, and AISTATS.
Dr. Xiong Wang
School of Mathematics and Statistics, Sun Yat-sen University, China;
Xiong Wang got his Ph.D in Mathematics from the University of Alberta 2022 and joined John Hopkins University as J.J. Sylvester assistant professor from 2022 to 2025. He joined the Sun Yat-sen University as an associate professor 2025. Professor Wang’s research covers a wide range of topics in mathematics, including Statistical/Machine learning in complex dynamics; interacting particle systems; nonparametric inference of interaction kernel;
Bayesian learning of kernel; random matrix theory, Stochastic partial differential equations and related stochastic heat equation; stochastic wave equation; stochastic fractional diffusion; super-Brownian motion; intermittency properties; KPZ universality, Gaussian processes, Sample path properties of Gaussian processes; Fractional Brownian motions; Talagrand’s Majorizing theorem; concentration inequality, numerical analysis, stability analysis; Euler–Maruyama scheme. He published nearly 20 papers in top mathematics and statistics journals.
Dr. Wangjun Yuan
School of Mathematics, Southern University of Science and Technology, China;
Yuan completed his postdoctoral studies in the University of Ottawa in 2021–2022 and in the University of Luxemburg in 2022–2024. He is an assistant professor at Southern University of Science and Technology since 2024. Wangjun Yuan’s research covers a wide range of topics including Random matrix theory, free probability, Stochastic differential equations, Stochastic partially differential equations, Malliavin calculus, matrix-valued stochastic processes. He published about 20 papers in the top mathematical and probability journals.
Sponsors and Partners
Organizer
As chair of this webinar, I am pleased to provide a brief summary of our session. We brought together three distinguished experts to explore the sustainable transformation of agri-food waste into high-value functional products. Discussions covered microbial platform comparison (fungi vs. microalgae), biomass valorization, challenges of industrial process, and the future vision of distributed production. Participants also raised thoughtful questions during the session, which enriched our dialogue. I sincerely thank our speakers and everyone who joined us. Please enjoy the recording.
The full recording can be found below. In order to learn about future webinars, you can sign up to our newsletter by clicking “Subscribe” at the top of the page.
Research Progress of Probability Statistics
Edited by Prof. Dr. Wanyang Dai
Deadline for manuscript submissions: 30 April 2026