• Conducted research on urban mobility behaviors and ride-sharing economy• Analyzed 140 million taxi trips and 14 billion location readings, established causal evidence for income targeting behaviors among taxi drivers• Trained a fixed-effect autoregressive Poisson model to forecast taxi demand, achieved 10% Mean average percentage error• Conference presentations    • Asian & Australasian Society of Labour Economics Conference 2019, Singapore    • ISMS Marketing Science Conference 2019, Rome, Italy    • Marketing Insights and New Investigations (MINI) Conference 2019, Singapore    • ISMS Marketing Science Conference 2018, Philadelphia, USA    • NUS-Tsinghua Conference on Digital Economy 2018, Beijing, China

• Developed a structural discrete-choice heterogenous probit model to analyze the choice between gasoline and ethanol among Brazillian motorists, established evidence for the lack of accurate price information and the existence of cognitive constraints when motorists purchase fuels• Analyzed 1 billion contactless payment transactions for public transport in Singapore, established causal impacts of heat and air quality on commuting behavior and inferred welfare cost of climate change and pollution

• Courses taught: Econometrics II, Intermediate Macroeconomic Analysis, Industrial Organization• Received Graduate Teaching Awards 3 times• Placed on the Graduate Teaching Awards Honour Roll

• Implemented a new algorithm for convex optimization in network with nonlinearcongestion cost using C++ with CPLEX and GUROBI• Speed up VARImetric algorithm used for aircraft maintenance scheduling with parallel computing• Investigated best practices in using massively parallel computing paradigm (CUDA and GPU computing) for Operations Research applications• Conducted two workshops on GPU Computing with CUDA at the ISE Department• Presented at IIE Asian Conference 2012 "Guidelines to use GPUs for algorithmparallelization"

• Designed Kanban-based Inventory System to better integrate Haldex Traction assembly line with supplier• Developed data-driven automated Demand Forecast system to replace the existing manual forecasting practice