Timothy L.H. Wee

prof_pic.jpg

Kline Tower, Rm 1261

219 Prospect Street

New Haven, CT 06511

I am a postdoc in the School of Mathematics at Georgia Tech, hosted by Cheng Mao. I received my PhD in statistics in 2024 from Yale University, advised by Sekhar Tatikonda. I am broadly interested in high-dimensional probability and statistics, as well as statistical physics, in particular spin glasses and disordered systems. To elaborate, I am interested in the following topics:

  • Understanding dependence structures, phase transitions, and the efficacy of message-passing algorithms in diluted and mean-field models. I am especially interested in elucidating the underlying mechanisms behind variational principles for free energies.

  • Statistical physics techniques in planted models, leading to insights about the fundamental limits of inference and algorithm design.

  • Chaining frameworks for bounding suprema of stochastic processes—especially algorithms and explicit constructions of majorizing measures or weighted partitions and their applications in statistics or computer science problems.

Feel free to reach out if you would like to chat about any of these subjects. Otherwise I’m sure we can find something interesting to discuss!

selected publications

  1. Asymptotic mutual information in quadratic estimation problems over compact groups
    Kaylee Y Yang, Timothy LH Wee, and Zhou Fan
    arXiv preprint arXiv:2404.10169, 2024
  2. Random projections beyond zero overlap
    Timothy LH Wee, and Sekhar Tatikonda
    arXiv preprint arXiv:2312.01248, 2023
  3. Local independence in mean-field spin glasses
    Timothy LH Wee, and Sekhar Tatikonda
    arXiv preprint arXiv:2212.14851, 2022