my profile

Sui Tang

Assistant Professor
Department of Mathematics
Affiliated with Department of Statistics and Applied Probability
The Center for Control, Dynamical Systems and Computation (CCDC)
The Center for Responsible Machine Learning
University of California, Santa Barbara
552 University Rd, Isla Vista, CA 93117

I am a tenure-track assistant professor at Department of Mathematics. Before joining UCSB, I was a member of Prof. Mauro Maggioni's research group and worked as assistant research professor at Johns Hopkins University. Here is my CV. I am interested in solving problems in the mathematical foundations of Data Science. My current research projects are motivated by the need to exploit dynamical data sets in complex physical systems to perform inference with provable performance and build generalizable and interpretable predictive models, where I used and developed techniques from Statistical/Machine Learning, Harmonic Analysis, Approximation Theory, and Probability. My research can be categorized to the following two areas:

My research is partially supported by NSF DMS-2111303 and NSF Career DMS-2340631. I was spending part of Fall 2021 as a visiting scientist at Simons Institute for the Theory of computing, and will be participating in the program Geometric Methods in Optimization and Sampling". Here is my talk at Simons intsitute workshop about my recent work in stocastic systems of interacting particles.

Postdoc position@UCSB: : If you are interested in working with me, please apply for the visiting assistant professor position at UCSB via mathjobs and send me an email of your CV.

RA position(for both undergraduate and graduate)@UCSB: : If you are interested in exploring mathematics of cutting edge AI, please send me an email of your CV and transcript. The prerequisite are Math 201ABC or PSTAT197ABC or PSTAT 207, and 231.

Independent Study(for both undergraduate and graduate)@UCSB: : I am interested in modern data science topics. If you have interest in exploring a topic by paper reading or book reading, please feel free to send me an email of your CV and transcript, including a description of what kind of topics you want to explore.

Current teaching

Graduate students

  • Charles Kulick, 2022- present
  • Dongyang Li, 2023-present
  • Harry Yu (master@UCSB, co-advise with Dr. Yu Guo), 2022-2023. Placement: Graduate student@Purdue
  • Jason Miller (PHD in applied math@JHU,co-advise with Dr.Mauro Maggioni), 2019-2020. Placement: Quantitative Research/Machine Learning at Tower Research
  • Undergraduate students

  • Siji Chen, 2023-present
  • Yao Qing, 2022-present
  • Hanying Feng, 2022-present. Placement: Graduate student@ Harvard
  • Yangyi Zhang, 2021-2022. Placement: Graduate student@Columbia
  • Tim Chung, Dongyang Li (Placement: Graduate student@UCSB), Shelby Malowney (Placement: AUSGAR Technologies Inc), Ritwik Trehan (Placement: Strategyn Inc), 2021 REU UCSB
  • Jiahui Cheng, 2019-2020. Placement: Graduate student @Gatech
  • Cassandra Lem, 2020 Fall. Placement: graduate student @MSU
  • Noa Nabeshima, 2020 Fall
  • Grants and Awards

  • NSF Early Career Faculty Developement Award 2024-2029
  • UCSB Early Career Faculty Developement Award 2023-2024
  • Hellman Faculty Fellows 2022-2023
  • NSF DMS-2111303, 2021-2024
  • Simons Collobration Grant for Mathematitians, declined due to the NSF award
  • UCSB Early Career Faculty Acceleration Grant, 2020-2021
  • UCSB Regents Junior Faculty Fellowship, 2020-2021
  • Best Overall Award in the poster competition of Second International Conference on Mathematics of Data Science, 2018
  • AMS-Simons Travel grant, 2017-2020
  • Education

    Publications: Google Scholar

    Recent travels/talks