By appointment only
I am the data manager for the Math Active Learning Lab in O'Kelly 33.
Online sections of Math 165 (fall semester), 166 (spring semester), 265 (fall semester), and 266 (spring semester). If you have difficulty registering because of prerequisite courses, find your previous course or contact me.
My specialty is probability, especially random walks in random environments and evolving shapes. I received my degree from UCLA, under the advising of Marek Biskup. I am currently investigating stochastic processes and also dabbling in machine learning.
- Timothy Prescott and Brian R. Urlacher
Case Selection and the Comparative Method: Introducing the Case Selector.
European Political Science (2017).
- Timothy Prescott
Quantifying a Candidate’s Advantage in the Electoral College.
Picking the President: Understanding the Electoral College (2017).
Pietro Caputo, Alessandra Faggionato, and Timothy Prescott
Invariance principle for Mott variable range hopping and other walks on point processes. [ArXiv]
Annales de l'Institut Henri Poincaré, Probabilités et Statistiques Volume 49 (2013), no. 3, 654-697.
Marek Biskup and Timothy M. Prescott.
Functional CLT for Random Walk Among Bounded Random Conductances. [ArXiv]
Electronic Journal of Probability Volume 12 (2007), no. 49, 1323-1348.
Timothy Prescott and Francis Edward Su.
A Constructive Proof of Ky Fan's Generalization of Tucker's Lemma. [ArXiv]
Journal of Combinatorial Theory Series A Volume 111 (2005), no. 2, 257-265.
Ph D, University of California, Los Angeles, 2008.
MA, University of California, Los Angeles, 2003.
BS, Harvey Mudd College, 2002.