Guanyang Wang   王冠扬

Guanyang Wang
Assistant Professor
Department of Statistics
Rutgers University, New Brunswick

Contact

Department of Statistics
Office 453, Hill Center
110 Frelinghuysen Road
Piscataway, NJ 08854
Email: guanyang.wang [at] rutgers [dot] edu

About me

Welcome! I am an assistant professor in the Department of Statistics at Rutgers University, New Brunswick.

My research primarily focuses on Markov Chain Monte Carlo (MCMC) techniques, general Monte Carlo methods, and probability. Recently I am also very interested in quantum computing. Feel free to contact me if you would like to chat about interests we may share. My research is partially supported by NSF DMS-2210849, NSF FET-2403007, and an Adobe Data Science Research Award. Thank you!

I received my Ph.D. in Mathematics (Ph.D. minor in Statistics) from Stanford University in August 2020, advised by Prof. Persi Diaconis. Prior to that, I received my B.S. with Honors in Mathematics from University of Science and Technology of China (USTC) in Jun 2015.

With several friends and colleagues, we organize a weekly online seminar on Monte Carlo methods. Check out our recorded videos here!

My Erdős number is 2 ( [1] , [2] , and [3]. )

People

  • Yasa Syed (Statistics, fifth year Ph.D. student)

  • Wei Yuan (Statistics, fourth year Ph.D. student)

Recent News

  • Our collaborative proposal (PI: Mario Szegedy , Co-PI: Jose Blanchet and myself) Quantum Monte Carlo Speed Ups for Multilevel Computations and Other Statistical Algorithms [1] [2] has been awarded a $1.19 million grant by the NSF! Excited :) (Jul 2024).

Recent Works

* = alphabetical order, = equal contribution, ** = student first author

Miscellaneous