Lâm Thanh-Tùng
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Tung Lam

Dept. of Mathematics & Statistics

Hudson 147

SUNY at Albany

Albany, NY

Email:

ttlam.contact {at} gmail {dot} com
tlam {at} albany {dot} edu

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, where I work on both the theory and the computation.

Most of my work is on multiparameter persistence. Among other things, what draws me to it is the possibility of a framework for time-varying data: dynamical systems, time-dependent networks, collective motion. This setting places demands on both the theory and the computation, so I want methods that are theoretically sound and also practical. In the longer term, I hope these methods will find applications in fields such as materials science, biology, and climate science, as well as in combination with machine learning for complex, evolving datasets.

Visualization of the Lorentz Attractor (left), with its trajectory (over 16,000 timesteps) represented as a point cloud, endowed with an associated time function. A function-Delaunay bifiltration \(\mathcal F_\bullet\), which simultaneously filters the point cloud by time and radius, is constructed on this point cloud. The bi-persistence module \(H_1(\mathcal F_\bullet)\) is then computed, and its rank invariant is visualized using RIVET (right).

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.

Papers