Wei Guo (郭纬)

About Me

I am now a second-year Machine Learning Ph.D. student at Georgia Institute of Technology, adviced by Professor Yongxin Chen. I also work closely with Professor Molei Tao. Previously, I obtained my Bachelor’s degree in Statistics from the School of Mathematical Sciences, Peking University in 2023, where I was mentored by Professor Cheng Zhang. I am born in Ningbo, Zhejiang, China in 2001.

My latest CV can be found here.

Interests

I am broadly interested in fields ranging from statistics, probability, and machine learning:

Statistics: Sampling (Markov Chain Monte Carlo), Optimization, Computational Statistics, Theoretical Machine Learning, Bayesian Inference.

Probability: Optimal Transport and Gradient Flow Theory, Applied Stochastic Analysis.

Machine Learning: Generative Modeling, Large Language and Vision Models.

I am particularly interested in the theoretical analysis of MCMC sampling and diffusion/flow models, as well as developing efficient and scalable algorithms and models for sampling and generative modeling.

The focus and goal of my research are two-fold: to reveal the fundamental principles behind the success of data-driven algorithms and to use these insights to develop accessible, efficient, and robust approaches for solving real-world problems that are essential and valuable for our society.

I am also interested in la langue française (the French language), vernaculars of Chinese and minority languages in China, linguistics, political science, China’s railway system, aviation, architecture, and video games (especially action games such as The Last of Us, Assassin’s Creed, and the Metro series). I am also an enthusiast of traveling. Some of my highly recommended destinations possessing profound historical and cultural heritage include Hangzhou, Yangzhou, Datong, Macau, and my hometown Ningbo.