Thanh Nguyen-Tang (TNT)

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Bio. I am an incoming tenure-track assistant professor in the Department of Data Science, Ying Wu College of Computing at New Jersey Institute of Technology (NJIT). I am currently a postdoc at Johns Hopkins University (with Raman Arora). Prior to that, I did my PhD in Computer Science at the Applied AI Institute, Deakin University, Australia, my M.Sc. in Computer Science and Engineering at Ulsan National Institute of Science and Technology, South Korea, my B.Eng. in Electronic and Communication Engineering (Talented Engineering Program) at Danang University of Science and Technology, Vietnam.

I was awarded the Alfred Deakin Medal for Doctoral Theses, 2022.

Research Interest. I am interested in the foundations of machine learning and its intersection with optimization and theoretical computer science. My research goal is to enrich our understanding of the underlying algorithmic principles for learning and thereby design practical machine learning systems that are more efficient, robust and socially responsible. The current research topics include sequential decision making (RL, MARL, game theory), responsible AI (differential privacy, machine unlearning, robustness), and LLMs (reasoning, alignment, optimization dynamics).

Service. Area Chair at NeurIPS (2025), AISTATS (2025), Senior Program Committee at AAAI (2025, 2024, 2023)

E-mail: thnguyentang [@] gmail [DOT] com
[Google Scholar] [Github] [Linkedin] [X]

I am seeking highly motivated and self-driven Ph.D. students with a strong mathematical background in machine learning and good programming skills to join my research group at the Ying Wu College of Computing at NJIT (tuition waiver and PhD stipend via RA/TA support), starting in Fall 2025 or Spring 2026. Prospective PhD students are strongly encouraged to email me where you enclose your CV and transcript, and a brief paragraph describing research experience and areas of interest. See the open position post for the details.

Students at all levels (including high school) are also strongly encouraged to email me if interested in doing research in ML!

Current students

(Non-NJIT)

  • Andrew Gilbert (undergrad in CS&AMS @ JHU).

  • Khai Le-Duc (Master student in Biomedical Engineering @ University of Toronto).

Useful links