Tan Hong Kiat
Education
Degree Programs:
 University of California, Los Angeles (UCLA)
 3rdyear Ph.D. student for Ph.D. in Applied Mathematics.
 M.A. in Mathematics (Awarded in June 2022).
 Qualifying exams passed:
 Basic.
 Applied Differential Equations. and
 Numerical Analysis.
 National University of Singapore:

Bachelor of Science with Honours (Highest Distinction) in Applied Mathematics;

Awards:

Dean's List
 Awarded to top 5% of the total undergraduate Science students for Academic Year 2018/19, 2019/20, 2020/21 Semesters 1 and 2. 
Ho Family Prize
 Awarded to the best overall student in Applied Mathematics who has passed the examination for Degree of Bachelor of Science (Honours) for Academic Year 2020/21. 
Tan Siak Kew Gold Medal
 Awarded to the best student in Science III for Academic Year 2019/2020 
Tan Teck Chwee Prize
 Awarded to the best student in Applied Mathematics III for Academic Year 2019/20. 
Sembcorp Marine Prize
 Awarded to two of the best students in Physics III for Academic Year 2018/19. 
Arthur Rajaratnam Prize
 Awarded to the best student in PC2193 Experimental Physics I for Academic Year 2018/19. 
Jurong Shipyard Prize
 Awarded to two of the best students in Physics I for Academic Year 2017/18.



University of North Carolina  Chapel Hill:

Undergraduate Summer Exchange Student (Summer 2019)

NUS Overseas Summer Undergraduate Research Oppourtunity in Science

Relevant Graduate Coursework at UCLA:
 Mathematics:

Differential Equations

Applied Differential Equations: Math 266A, 266B, 266C

Partial Differential Equations: Math 251A, 251B x 2, 251C (Topic Classes)


Applied and Computational Mathematics

Numerical Analysis: Math 269C

Optimization and Calculus of Variation: Math 273A, 273B

Scientific Computation and Numerical Linear Algebra: Math 270A

Statistics: Stats 200B, 200C


Analysis

Real Analysis: Math 245A, 245C

Complex Analysis: Math 246A

Harmonic Analysis: Math 247A

Functional Analysis: Math 255A, 255B


Course Descriptions: See https://ww3.math.ucla.edu/courses2/
Relevant Undergraduate/Graduate Coursework at NUS:
 Mathematics/Statistics (Undergraduate):

Mathematical Analysis, Complex Analysis, and Functional Analysis.

Ordinary Differential Equations, and Partial Differential Equations (PDEs).

Probability, Mathematical Statistics, Regression Analysis, Stochastic Processes, and Mathematical Methods in Machine Learning.

Statistical Simulation, Numerical Analysis, and Numerical Methods in Differential Equations.


Physics/Engineering (Undergraduate):

Mathematical (Methods in) Physics I, II, and III, Classical Mechanics, and Fluid Dynamics.

Statistical Mechanics & Thermal Physics I and II, Quantum Mechanics I, II and III.


Mathematics/Physics (Graduate):

Partial Differential Equations and Topic Classes,
(Conservation Laws, Boltzmann Equation, and Green's Functions) 
Applied PDEs and Asymptotic Analysis,

Riemannian Geometry,

Stochastic Analysis in Mathematical Finance,

Advanced Fluid Dynamics (from Mechanical Engineering Department), and

Graduate Statistical Mechanics (Audit; from Physics Department).

Module Descriptions: See https://nusmods.com/
Programming Languages:
 Python
 R
 Mathematica
 MATLAB
 LaTeX
 Julia
© 2022 by HK Tan