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Resume

Education

2014 - 2018

Hong Kong University of Science and Technology

Bachelor of Science in Mathematics; GPA: 3.80/4.30

Awards:

  • University Scholarship (HKUST)

  • Dean's List (School of Science, HKUST)

  • University's Scholarship Scheme for Continuing UG Students (HKUST)

  • Chern Class Talent Scholarship (Department of Mathematics, HKUST)

  • HKSAR Government Scholarship Fund - Reaching Out Award 2016/17

Programs:

  • HKUST Summer Mainland Program - Peking University Summer School

  • National University of Singapore  (Exchange program; GPA: 4.63/5.00)

2018 - 2023

The University of Texas at Austin

Doctor of Philosophy in Mathematics

Work
Experience

2023 - present

Postdoctral Associate

University of Minnesota - Twin Cities

2021 - 2023

Graduate Research Assistant

The University of Texas at Austin

2018 - 2021

Graduate Teaching Assistant

The University of Texas at Austin

2020

Mentor, Directed Reading Program

Worked on barycentric coordinates

2016

Student Helper

Math Support Center, Hong Kong University of Science and Technology

Research
Projects

2023 - present

2022 - 2023

Construction of Supplemental Functions for Direct Serendipity and Mixed Finite Elements on Polygons

We are substituting the rational shape functions of direct serendipity spaces with piecewise polynomials in order to improve the performance regarding numerical results.

2022 - 2023

Construction of Direct Serendipity Finite Elements on Cuboidal Hexahedra

We generalized the construction of direct serendipity finite element spaces to convex hexahedra.

2020 - 2022

We generalized the construction of direct serendipity and direct mixed finite element spaces to convex polygons, achieving optimal approximation properties and having minimal local dimension.

Demonstration Code: directpoly

2018 - 2022

We developed families of direct serendipity and direct mixed finite element spaces on convex quadrilaterals, achieving optimal approximation properties and having minimal local dimension.

2017

International Research Internship; University of California, Los Angeles

Focused on developing new algorithms for an image processing
problem, specifcally, GISC spectral camera. The image processing problem was turned into a convex optimization problem to solve.

2016

Final Year Project; Hong Kong University of Science and Technology

Applied statistical learning methods to studying the impact of
combinations of four kinds of anticancer drugs (Vincristine, Mitoxantrone, Etoposide and Daunorubicin) against leukemia.

Skills
& Expertise

  • C++

  • MATLAB

  • R

  • LaTeX

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