👋 Hello there!
About Me:
👦 Name:
🅰️ First Name: Hong Kiat,
🅱️ Last Name: Tan,
🆎 Listed Name: Hong Kiat Tan.
🍵 “Drinks/US” Name: Max.
👨👨👦👦 Pronouns: He/Him/His.
👨🎓 I’m a 5th year Ph.D. student in Mathematics at UCLA, advised by Andrea Bertozzi.
💼 I’m currently doing an internship and am away from campus for the Fall quarter.
📚 I did my undergraduate studies at the National University of Singapore majoring/minoring in:
📗 Primary Major: Applied Mathematics,
📕 Secondary Major: Physics,
📘 Minor: Statistics.
Research Experiences & Interests:
📊 Statistics/Machine Learning:
- Causal Machine Learning,
- Time-Series Models and Analysis,
- LLMs (Multi-Agent Systems, Interpretability, and Applications), and
- Mathematical/High-dimensional Statistics.
Differential Topology:
- Genericity, Transversality, and Applications.
♾️ Partial Differential Equations (PDEs):
- Hyperbolic Conservation Laws: Mathematical Analysis, Numerical Analysis, and Applications.
✉️ I am always happy to discuss more on projects/publicatons that I have worked on. If you have any questions with regards to any of my publications, feel free to contact me via my email below!
CV:
📃 You can access my resume/CV here. (Updated Dec 2025.)
I’ve worked as a Quantitative Research Intern at WorldQuant in the fall quarter (2025) with their Intraday team.
I’ve worked as a Data Scientist Intern at Amazon this summer (2025) at Search Data Science and Economics.
I think of myself as a “full stack mathematician” — I take projects end-to-end, from theory and modeling through implementation and simulation to production-scale systems!
✉️ I am currently looking for:
- Spring/Summer internship for 2026, and/or
- Full Time role starting Summer 2026/Dec 2026.
💼 Potential Roles:
- Research/Applied/Data Scientist/Member of Technical Staff, and/or
- Research/Machine Learning/AI Engineer.
Feel free to contact me via my email below!
Teaching:
👨🏫 Currently Teaching:
- (Winter 26.) N.A.
🧑💻 Teaching Experiences:
- You can access them here.
Contact Me:
📩 maxtanhk@math.ucla.edu
🏢 MS6161