Developing cutting-edge portfolio optimization frameworks with AI-driven solutions for complex financial challenges.
I'm a mathematics student at Raffles Institution, Singapore, specializing in the application of advanced mathematical concepts to financial modeling and portfolio optimization. My work focuses on leveraging AI and mathematical techniques to solve complex challenges in finance and investment planning.
With extensive training in mathematical olympiads and programming, I combine rigorous analytical skills with innovative approaches to develop cutting-edge financial solutions. My recent research explores dynamic multi-objective retirement portfolio optimization using reinforcement learning.
Pre-Collegiate Studies
Singapore
Mathematics & Physics
Google Certification
Creating advanced multi-objective optimization frameworks with dynamic asset allocation strategies.
Building sophisticated financial models to simulate market conditions and evaluate investment strategies.
Implementing advanced risk assessment techniques to protect against downside scenarios in portfolios.
Developing quantitative strategies using mathematical algorithms and machine learning.
AI-Powered Retirement Portfolio Optimization
Developing a comprehensive retirement portfolio framework for aging populations facing complex financial risks: downside market risk, longevity risk, and healthcare cost uncertainty.
Created a multi-objective optimization model using deep reinforcement learning that dynamically adjusts portfolio allocation based on changing market conditions and health status.
2× Higher
vs traditional strategies
16.7% OOP
vs 50% with traditional
74.7%
annuity adequacy
19.7 QALYs
maintained throughout
Showcasing my work in financial optimization, algorithmic solutions, and data-driven applications.
Simplifying food logging, automating nutrition analysis, and providing holistic health insights through AI and data integration.
Comprehensive guide detailing graphing procedures for TI-84 Plus CE models, with step-by-step instructions in PDF format.
Algorithm for optimizing Yahtzee winning probabilities through statistical analysis and decision-tree modeling of gameplay strategies.
Relevant Coursework: Further Mathematics and Mathematics (Conics, Linear Algebra, Numerical Methods, Differential Equations), Physics (Newtonian Mechanics, Thermodynamics, Electromagnetism, Modern Physics), Economics (Macroeconomics, Microeconomics, International Trade).
Completed intensive coursework in Mathematical Finance, including advanced applications of stochastic calculus, Monte Carlo simulations, and options pricing models. Developed a comprehensive project on optimizing investment portfolio strategies using machine learning techniques.
Selective Admission ProgramSelected for specialized training in advanced mathematical problem-solving techniques. Coursework covered Number Theory, Combinatorics, Geometry, and Algebra at an olympiad level. Trained with past International Mathematical Olympiad (IMO) problems.
Top 5% Selection CriteriaParticipated in rigorous training for physics competitions, covering advanced topics in Mechanics, Thermodynamics, Electromagnetism, and Modern Physics. Developed strong analytical and experimental skills through laboratory work and theoretical problem-solving.
Selective Admission ProgramCompleted comprehensive data analytics curriculum covering data preparation, processing, analysis, and visualization. Developed proficiency in SQL, R, and Tableau. Completed case studies on data-driven decision making and trend analysis for business applications.
Professional CertificationAchieved Level 1 Award, ranking in the top 5% nationally, demonstrating exceptional mathematical problem-solving abilities.
Earned Certificate of Distinction, placing in the top 5% of participants in this prestigious international competition.
Received Gold Award, ranking 11th in Singapore, showcasing exceptional performance among top mathematics students across Asia.
Awarded Silver Medal for outstanding problem-solving skills in Singapore's premier national mathematics competition.
Advanced to Silver Division, demonstrating strong algorithmic thinking and programming skills in this prestigious competition.
Earned Bronze Division qualification, showcasing fundamental computational problem-solving abilities.
Received Honorable Mention for outstanding performance in physics problem-solving and theoretical concepts.
Awarded Bronze for innovative design and algorithm implementation using graphing calculator technology.
Recognized with Second Class Honors for exemplary 3D design work, demonstrating creative problem-solving and technical execution.