I am a physics graduate student at University of Illinois Urbana Champaign. I come from China and have been in Urbana for several years. During the years, I have tried various fields in physics, from computational physics to theoretical string theory and finally landing in high energy experiment. Below lists my experience and a pdf version of my resume is here.

As a physics student, I am interested in solving problems via modeling. Physicists tend to model nature by adding interaction terms in Lagrangian. Another interesting way is to use statistical modeling via data driven methods. I have been utilizing both methods in my Ph.D. works. I find myself more interested in the latter and want to continue my research in data driven problems in industry.


Ph.D. Physics (University of Illinois Urbana Champaign)

  • May, 2017 - Present, Urbana, IL, US.
  • Advisor: Benjamin Hooberman
  • Focus on lepton isolation problem. Using sequential deep neural networks, such as RNN, LSTM, to classify leptons.

B.Sc. Math (University of Illinois Urbana Champaign)

  • Aug, 2013 - May, 2017, Urbana, IL, US.

B.Sc. Physics (University of Illinois Urbana Champaign)

  • Aug, 2013 - May, 2017, Urbana, IL, US.
  • Focus on numerical relativity and relativistic magnetohydrodynamics with professor Stuart Shapiro.

Work Experience

QuantLab Financial, LLC.

  • Quantitative Researcher Internship
  • Jun,2022 - Aug, 2022, Houston, TX, US.
  • Study MSCI factor models to extract mean reverting signals and fitting models to predict daily returns

Barclays Investment Bank

  • E-trading and machine learning summer internship
  • Jun,2021 - Aug,2021, New York, NY, US.
  • Predict close price using close auction data


  • Scientific research internship
  • Feb,2021 - May,2021, Beijing, China
  • Incorporate ECP methods in Ferminet in quantum chemsitry


  1. Fan, Cunwei, Gabriele La Nave, and Philip W. Phillips. “Second-order Lovelock gravity from entanglement in conformal field theories.” Physical Review D 104.12 (2021): 126018.

  2. Li, Xiang, Cunwei Fan, Weiluo Ren, and Ji Chen. “Fermionic neural network with effective core potential.” Physical Review Research 4, no. 1 (2022): 013021.


  1. DSECOP Fellow, constructing data science tutoria material for physics students. DSECOP Fellowship