profile pic

Tung Lam

Dept. of Mathematics & Statistics,

Catskill 390,

SUNY at Albany,

Albany, NY.

Email: tlam {at} albany.edu

My name is Lâm Thanh-Tùng (Lâm is my surname). I usually go by Tung Lam. I am currently a PhD candidate at SUNY at Albany, advised by Justin Curry and Michael Lesnick. My research interests lie primarily in Topological Data Analysis, encompassing both theoretical and computational aspects of the field, as well as its applications in scientific domains.


Broadly, my current interests focus on understanding and applying multiparameter persistence, particularly in contexts involving time-varying data, such as time-varying networks, collective motions, and dynamical systems. I am also exploring how these techniques can be integrated with machine learning approaches to enhance the analysis and interpretation of complex, dynamic datasets.


Lorentz Attractor
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 \(H_1(\mathcal F_\bullet)\) (degree-1 homology) is then computed from this bifiltration, and its rank invariant is visualized using RIVET (right).

Here is my CV.

Papers: