Kunbo Wang

Ph.D. candidate of Applied Math & Stats

Johns Hopkins University


I am a current Ph.D. candidate majoring in Applied Mathematics and Statistics at Johns Hopkins University. Before that, I received my master’s degree in financial mathematics from Johns Hopkins.

I have rich research experience in Bayesian statistics, teaching experience in machine learning fields, and skills in managing large data. Besides these, I also have experience in quantitative finance fields.

I am looking for full time opportunities starting at December 2022. Please feel free to contact me if you are interested in learning more details about me.

Download my CV for more information.


  • Quantitative Trading
  • Tech Research in Bayesian Method
  • Deep Learning
  • Data Scientist
  • Financial Risk Management


  • Ph.D. in Applied Mathematics and Statistics, 2017 -

    Johns Hopkins University, Baltimore, MD, U.S.

  • M.S. in Financial Mathematics, 2015 - 2017

    Johns Hopkins University, Baltimore, MD, U.S.

  • B.Econ in Financial Engineering, 2011 - 2015

    Central University of Finance and Economics, Beijing, China