Experience

EDUCATION

• • Ph.D. in Mathematics (Aug 2021)

Institute of Mathematical Sciences, Claremont Graduate University, Claremont, California, U.S.

Dissertation: "On Heavy Tailed Distributions and Big Data."

Advisor: Prof. John E. Angus

Committee: Profs. John E. Angus, Weiqing Gu, and Qidi Peng

• • Master of Science in Financial Engineering (May 2015)

Drucker School of Management, Claremont Graduate University, Claremont, California, U.S.

• • Bachelor of Science in Mathematics and Applied Mathematics (July 2012)

School of Mathematical Sciences, Xiamen University, Xiamen, China

• • Bachelor of Economics in Financial Engineering (July 2012)

School of Economics, Xiamen University, Xiamen, China

RESEARCH INTERESTS

Applied and theoretical probability, stochastic processes, mathematical statistics, data science, machine learning, and mathematical finance

TEACHING INTERESTS

Probability, statistics, machine learning, and data science

TEACHING EXPERIENCE

• • Statistical Theory, Instructor, Institute of Mathematical Sciences, Claremont Graduate University (Fall 2020)

  • Statistical Learning, Teaching Assistant, Claremont Graduate Univeristy (Spring 2020)

  • Non-Linear Data Analysis, Teaching Assistant, Harvey Mudd College (Summer 2019)

  • Ph.D. Qualifying Exam Review Sessions, Instructor, Institute of Mathematical Sciences, Claremont Graduate University (Spring 2017)

PROGRAMMING EXPERIENCE

• Programming Languages

Python, NumPy, Pandas, C++, MATLAB, R, SQL, and SPSS

• R Projects

1. Voting Ensemble for Factor Ranking with Mixed Data Type (2021)

2. Factor Ranking and Selection of Out-of-Pocket Cost from Medical Expenditure Panel Survery (2020)

• Python Projects

1. Bootstrapped AREN (2021)

2. Optimal Control of the SIR Model (2021)

3. Generalized Elastic Net Python Package (2019)

4. Accelerometer-Based Gait Segmentation (2019)

5. Website for Nonlinear Data Analytics Course (2019)

6. Simulations of Current Age to Total Life for Null Recurrent Renewal Processes (2018)

7. Implementation of Gaussian Mixture Model-Universal Background Model (GMM-UBM) (2018)

• MATLAB Projects

1. Implementation of Collaborative Filtering (CF) Recommender Systems (2016)

PROFESSIONAL EXPERIENCE

• • Adjunct Professor, Institute of Mathematical Sciences, Claremont Graduate University (Sep - Dec 2020)

  • Associate Editor, Journal of Geometrical Unified Machine Learning, Claremont Colleges Library (Feb 2020 - May 2022)

  • Statistical Consultant Intern, Grant Thornton LLP, Xi’an, China (Aug - Nov 2012)

FELLOWSHIPS AND AWARDS

• • Director’s Fellowship, Claremont Graduate University (2020-21)

  • Director’s Fellowship, Claremont Graduate University (2019-20)

  • Edison Math Fellowship, Claremont Graduate University (2017-18)

  • James W Porter Endowed Fellowship, Claremont Graduate University (2016-17)

  • CGU Math Department Fellowship, Claremont Graduate University (2014-17)

  • MS in Financial Engineering Fellowship from the Drucker School of Management, CGU (2014-15)

  • Student Fellowship, Xiamen University (2010-11)

  • Student Fellowship, Xiamen University (2009-10)