Contact

Email: bmhuang at mit dot edu

Hello! I am a fifth year PhD student in EECS at MIT, where I am fortunate to be advised by Guy Bresler and Nike Sun. I am interested in high-dimensional probability and statistical physics, especially the limits of efficient algorithms in disordered problems.

I am grateful to be supported by a Google PhD Fellowship (2023-25). I was previously supported by a NSF Graduate Fellowship (2020-23) and a Siebel Scholarship (2020-21).

I will be a Stanford Science Fellow in the Department of Statistics from July 2025 to December 2026, and will join Yale Statistics and Data Science as an assistant professor in January 2027.

Selected Papers

See my research page for a full list.

• B. Huang and M. Sellke. Strong Low Degree Hardness for Stable Local Optima in Spin Glasses.
  Preprint 2025.

• B. Huang, S. Mohanty, A. Rajaraman, and D. X. Wu. Weak Poincaré Inequalities, Simulated Annealing, and Sampling from Spherical Spin Glasses.
  To appear in STOC 2025.

• B. Huang. Capacity Threshold for the Ising Perceptron.
  FOCS 2024. Best Student Paper.

• B. Huang, A. Montanari, and H. T. Pham. Sampling from Spherical Spin Glasses in Total Variation via Algorithmic Stochastic Localization.
  Preprint 2024.

• B. Huang and M. Sellke. A Constructive Proof of the Spherical Parisi Formula.
  Preprint 2023.

• S. Chen, B. Huang, J. Li, A. Liu, and M. Sellke. When Does Adaptivity Help for Quantum State Learning?
  FOCS 2023.

• B. Huang and M. Sellke. Tight Lipschitz Hardness for Optimizing Mean Field Spin Glasses.
  Communications on Pure and Applied Mathematics 78(1) (2025), 60-119.
  Conference version: FOCS 2022.

• G. Bresler and B. Huang. The Algorithmic Phase Transition of Random k-SAT for Low Degree Polynomials.
  FOCS 2021.