Feng Cheng

Graduate Student
University of Washington
fecheng at uw dot edu

Education

Ph.D. in Mathematics at the University of Washington (September 2024 – present)

Dual B.A. degrees with distinction in Mathematics and Statistics at the University of California, Berkeley (August 2022 – May 2024)

with High Honors in Mathematics

Studied at the University of California, Davis (September 2020 – June 2022)

Research Interests

Discrete probability theory with emphasis on statistical physics, high-dimensional probability and statistic, mixing times of Markov chains

Academic Research Experience

Major Investigator at Polymath Jr. (June 2023 – September 2023)

subject: the frog model, an interacting particle system of significance in statistical mechanics, on the infinite $d$-ary tree
guided by Professor Matthew Junge and Professor Si Tang
published at the Electronic Communications in Probability
GitHub repo: fredcheng02/frog-model

Awards & Scholarships

Lee McFarlan Fellowship Award (2024 – 2026)

Robert Lewis Wasser Memorial Scholarship (2022)

G. Thomas Sallee Prize (2021)

Unpublished Articles and Extended Writing Projects

Draft of From Measure to Probability: A survey of measure-theoretic results by a probabilist
Draft of “Complete Reference on Linear Algebra: Comments on Linear Algebra Done Right, 4th Edition”
“On the Fundamentals of Extremal Graph Theory”

Random Writings

Math+Stats Repositories

Relevant Links