Jacob Richey
Postdoctoral Instructor of Mathematics, NYU Shanghai
Email
jfr9718@nyu.edu
Jacob Richey is a Postdoctoral Instructor of Mathematics, NYU Shanghai. Previously, he held postdoctoral appointments at the Alfréd Rényi Institute of Mathematics in Budapest, and the University of British Columbia.
Select Publications:
- Nishant Chandgotia, Brian Marcus, Jacob Richey, and Chengyu Wu. “Shifts of finite type obtained by forbidding a single pattern.” Discrete and Continuous Dynamical Systems 48 (2026), 538–576.
- Omer Angel, Jacob Richey, Yinon Spinka, and Amir Yehudayoff. “Random walks on regular trees can not be slowed down.” Electronic Journal of Probability 29 (2024), 1–15.
- Christopher Hoffman, Jacob Richey, and Leonardo T. Rolla. “Active phase for activated random walk on ℤ.” Communications in Mathematical Physics 399 (2023), 717–735.
- Jacob Richey and Amites Sarkar. “Intersections of random sets.” Journal of Applied Probability 59(1) (2022), 131–151.
- Riddhipratim Basu, Shirshendu Ganguly, Christopher Hoffman, and Jacob Richey. “Activated random walk on a cycle.” Annales de l’Institut Henri Poincaré, Probabilités et Statistiques 55(3) (2019), 1258–1277.
Education:
- PhD, Mathematics
University of Washington - BA, Mathematics and Chinese Language
Dartmouth College
Research Interests
His research is in probability theory, with a focus on models and phenomena arising from statistical physics and discrete mathematics including interacting particle systems, pattern avoidance, and self-organized criticality.