I am a PhD student at the Institute of Operations Research and Analytics, IORA, NUS. My research interest is decision making under uncertainty. I am interested to learn about the optimal actions people or companies should take when faced with uncertainty about the consequences of events.
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 and arrival times of hospital patients.
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. Given that we are able to gather information about a particular return of investment at some cost, what is the right amount to obtain? We have a working draft of our paper titled "Investment Decisions and the Falling Cost of Data Analytics", which we have presented at a few conferences.
Please contact me if you would like to collaborate!
I was 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.
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.
THM Academy is an initiative I started to engage and educate students in Mathematics. My goal is to make learning mathematics fun and easy (or as painless as possible). My experience, both as a teacher and student led me to realise that all students, including myself, find learning mathematics difficult at some point in time of their education. I realise the reason for this is not having a proper mentor at that critical period of learning.
It is more difficult to learn and derive new knowledge alone, than having someone teach it to you. It took many years of work and an apple tree for Issac Newton to develop his famous three laws of motion. Today, it is taught to 15 year old students in a couple of semesters. Hence, I seek to be the best teacher I can be for my students. My method is based on Polya's problem solving techniques.
Feel free to contact me if you want my help.
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.
Over the years, I have worked on mini projects in my free time and work. These are a few which I have kept updated and willing to share the code with. I am familiar with C/C++, MATLAB, Mathematica, LaTeX, and a little R, 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.