I am an Assistant Professor/Courant Instructor at the Courant Institute of Mathematical Sciences at New York University. My research interests revolve around mathematical modeling and developing computational methods for reconstructing, modeling, and simulating single-cell molecular and population dynamics. Recently, I have been working on developing machine-learning-based tools for uncertainty quantification with applications in biology and finance.
Beginning Fall 2025, I will move to the University of Houston as a Tenure-track Assistant Professor in Mathematics.
I received my Ph.D. in applied mathematics from UCLA, Department of Mathematics in 2023 (Dissertation: Mathematical Modeling and Computational Methods for Structured Populations). I received my B.S. degree in Applied and Computational Mathematics from Peking University, School of Mathematical Sciences in 2019.
I work with students from different majors. I have several openings for research interns, fully funded PhD positions, and postdocs. If you are interested in joining our research efforts, please feel free to contact me :)
Office: 251 Mercer Street, WWH 704
YouTube channel for my lecture and course videos
Email: mxia4@uh.edu, xiamingtao@nyu.edu