I am a PhD candidate at the Institute of Operations Research and Analytics, IORA, NUS. My research interest is decision making under uncertainty, bayesian learning, revenue Management, and sport analytics. I am interested to learn about the optimal actions people or companies should take when faced with uncertainty about the consequences of events. I mainly use analytical models to approach my research questions.
We all encounter randomness in some form or another in our lives. I am interested in discovering what our best decision is given a situation which we do not know for certain the occurance of particular events. Some examples include changes in stock price, the future state of a game in sports, and demand faced by Airlines.
I am currently working closely with Associate Professor Jussi Keppo and Assistant Professor Prof Zhou Chao on utitilty maximization and information acquisition under uncertainty. Our research seeks to understand the impact of the decreasing cost of information and data analytics on corporate decisions and equity prices.
I am currently a teaching assistant for NUS Business School teaching the module DSC5101 Analytics in Managerial Economics.
I have also taught the module DSC5101 Analytics in Managerial Economics and DAO1704/DSC1007 Decision Analytics Using Spreadsheets for NUS Business School. I received the outstanding graduate student teaching award for teaching DAO1704/DSC1007.
I was also a teaching assistant for the Department of Mathematics at NUS, where I taught the modules MA1505 Mathematics I and MA1101R Linear Algebra I. Based on my teaching performance, I obtained a Letter of Commendation for being placed in the top 20 percent of all graduate tutors.
DSC5101 is one of the 5 essential modules taken by students enrolled in the Master of Science Business Analytics programme at NUS Business School. The module covers price formation and economic performance in imperfectly competitive markets, game theory, information economics, and empirical modelling.
DAO1704/DSC1007 prepares students with theory and skills to capture business insights from data for decision making using spreadsheets. We focus on using Excel to solve probability and optimization problems.
MA1505 provides a basic foundation for calculus and its related subjects required by engineering students. Topics include vector and multivariable calculus (think Divergence Theorem and triple integrals).
MA1101R is a first course in linear algebra. Major Topics include solutions of linear systems, subspaces, eigenvalues and eigenvectors. I taught a total of four classes, which translates to roughly 120 students. These include students not only in the Department of Mathematics, but also from the Department of Computing and Department of Statistics.
I was a lecturer with the School of Applied Science at Temasek Polytechnic where I taught Mathematics and Statistics for 2 years. I was the Subject Leader for the subject "Statistics for Applied Science". I have also co-authored three textbooks for the students at Temasek Polytechnic.
Some mini projects I've done. I am familiar with Python, R, C/C++, MATLAB, Mathematica, LaTeX, and a little html, and css.
My assignments for Data Analytics module BDC 6307 at NUS. These are those that are coded in R and output using Rmarkdown.
A Windows Powershell Script I modified to auto-compile any .tex files it finds in subfolders placed in the main folders. It checks if there exists a PDF file first, then if the TeX file is newer. If there is no PDF or the TeX file is newer, it runs latex.
A simple C++ RPG game that I wrote in my free time to keep familiarised with the language. The main feature I managed to do was a menu where users can select their choices with the arrow keys. Players can level up, assign their skill points, and fight randomly generated monsters. I plan on working on it more when I have time.
As part of my honours project, I programmed two Executable Programs (.exe) which take user inputs and plot circle packings.