معرفی
Hong-Quan Tran is a Postdoctoral Scholar at the University of Geneva, working under Professor Antti Knowles in mathematical research. He holds a PhD in Mathematics from Paris Dauphine University, supervised by Justin Salez.
Education:
- PhD in Mathematics, Paris Dauphine University
Research Interests: Dr. Tran specializes in Probability Theory with a focus on Mixing times of Markov processes. His recent work extends into Random Matrix Theory, exploring theoretical frameworks for stochastic processes and spectral properties of random matrices. This research bridges foundational probability with applications in statistical physics and data science.
Scientific Awards: None mentioned.
Advising and Grants: No information available regarding student supervision or research funding.
Laboratory and Team: Dr. Tran is affiliated with Antti Knowles' research group at the University of Geneva, contributing to collaborative projects in probabilistic mathematics.
