Tung Lam

My name is Lâm Thanh-Tùng (Lâm is my surname), and I usually go by Tung Lam. I am a PhD candidate in Mathematics at SUNY Albany, advised by Justin Curry and Michael Lesnick. My research is in Topological Data Analysis, with an emphasis on both theoretical foundations and practical computation.

I am particularly interested in multiparameter persistence as a framework for analyzing time-varying data, including dynamical systems, time-dependent networks, and collective motions. A central goal of my work is to develop multiparameter methods that are theoretically sound, with an eye toward computational practicality, and to apply these tools to problems in applied domains (such as materials science, biology, climate science, etc). More broadly, I am interested in how multiparameter TDA can be combined with machine learning approaches to improve the analysis and interpretation of complex, evolving datasets.

Here is my CV.

I am currently co-organizing the ATiA seminar. This seminar alternates between informal group meetings and more formal talks given by invited speakers. If you are interested in giving a talk, please send me an email.