Education

• Postdoctoral researcher, Computational + Mathematical Science, Caltech, Jun 2020 - now, mentor: Thomas Yizhao Hou
• Visiting research student, Computational + Mathematical Science, Caltech, Jan 2019 - Jan 2020, host: Thomas Yizhao Hou
• Ph.D in Applied Mathematics, Hong Kong University of Science and Technology, 2015-2020, advisor: ‪Jian-Feng Cai‬
• Visiting student, Beijing Internantional Center for Mathematical Research-Peking University, Spring 2015, study intensive courses in mathematics: Functional Analysis2, PDE, Remmanian Geometry.
• B.S. in Applied Mathematics, Sichuan University, 2012-2015
• Study in Medicine, West China Medical Center, Sichuan University, 2010-2012

Experience

• Mar 2021: MS71 Computational Linear Algebra in Data Analysis
  • SIAM Conference on Computational Science and Engineering, Zoom
• Dec 2019: CMX seminar
  • CMS, California Institute of Technology, Pasadena, US
• Jul 2019: Oral presentation
  • International Congress on Industrial and Applied Mathematics, Universitat de València, Spain
• June 2017: Phase Retrieval: Theory, Application and Algorithms
  • ICERM, Brown University, US
• Apr 2017 - Dec 2017: Wechat Laboratory
  • Project: We collaborated with the Wechat laboratory and helped them solve real-time video denoising problems. In details, we used wavelet tools to establish a noise level detection function and used a data-driven dictionary learning method to do the denoising task. I played a major role in the algorithm design and writing the algorithm package with C++. This work was conducted in Hong Kong, China.
• Summer 2014: Modeling Researcher
  • HUAXI Futures Company
  • Project: My duty was to develop quantitative trading strategies and my strategy was used practically in real trading models. This work was conducted in Chengdu, China.

Skills

• MATLAB
• C++
• Python
• Linux
• Math Tools
  • Optimization
  • Probability
  • Matrix analysis

Teaching (Tutorials)

• Math 1012 Calculus IA
• Math 1013 Calculus IB
• Math 2121 Linear Algebra
• Math 3322 Matrix Computation
• Math 3332 Data Analytic Tools
• Math 5007 Optimization and Matrix Computation (Graduate Level)

Honors

• Research Travelling Grants, 2019, Hong Kong University of Science and Technology.
• Oversea Research Award, 2019, Hong Kong University of Science and Technology.
• Hong Kong PhD Fellowship, 2015-2019, Research Grants Council (RGC) of Hong Kong.
• Din-Yu Hsieh “Best Teaching Assistant” Award, May 2018, Hong Kong University of Science and Technology.
• Din-Yu Hsieh “Best Teaching Assistant” Award, May 2017, Hong Kong University of Science and Technology.
• Din-Yu Hsieh “Best Teaching Assistant” Award, May 2016, Hong Kong University of Science and Technology.
• Meritorious Winner in Mathematical Contest In Modeling,Dec 2014, COMAP.
• National Scholarship (Wu Yuzhang Honors), Sichuan University, Oct 2014, Ministry of Education of P.R.China.
• National Scholarship (Mathematics), Sichuan University, Oct 2013, Ministry of Education of P.R.China.
• First Prize in China Undergraduate Mathematical Contest in Modeling, Sichuan Division, 2012.
• National Scholarship (Medical Sciences), Sichuan University, Oct 2011, Ministry of Education of P.R.China.
• Premier Student Scholarship, Sichuan University, 2011 - 2015.