Resume
Education
2014 - 2018
Hong Kong University of Science and Technology
Bachelor of Science in Mathematics; GPA: 3.80/4.30
Awards:
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University Scholarship (HKUST)
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Dean's List (School of Science, HKUST)
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University's Scholarship Scheme for Continuing UG Students (HKUST)
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Chern Class Talent Scholarship (Department of Mathematics, HKUST)
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HKSAR Government Scholarship Fund - Reaching Out Award 2016/17
Programs:
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HKUST Summer Mainland Program - Peking University Summer School
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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
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C++
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Python
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MATLAB
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R
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LaTeX