Big Data Econometrics
Lecturer-in-Charge · UNSW
Machine learning, regularisation, high-dimensional prediction, causal inference, heterogeneous treatment effects, and empirical applications using R.
Courses and instruction
My teaching spans corporate finance, investments, big-data econometrics, and modern causal inference. I aim to connect rigorous empirical methods with real research questions and practical applications.
Lecturer-in-Charge · UNSW
Machine learning, regularisation, high-dimensional prediction, causal inference, heterogeneous treatment effects, and empirical applications using R.
Lecturer-in-Charge · UNSW
Potential outcomes, selection on observables, instrumental variables, difference-in-differences, regression discontinuity, double machine learning, and causal trees.
Lecturer-in-Charge · UNSW
International capital budgeting, foreign-exchange exposure, multinational financing decisions, political risk, and global capital markets.
Lecturer · UNSW
Core financial theory and its application to corporate investment, financing, valuation, and policy decisions.
Tutor-in-Charge · UNSW
Startup financing, valuation, term sheets, staged investment, cap tables, due diligence, exits, and the economics of entrepreneurial finance.
Tutor-in-Charge / Tutor · UNSW
Portfolio theory, asset allocation, factor models, performance evaluation, and the practical implementation of investment strategies.
TA · UNSW
Empirical research design, econometric identification, data construction, academic writing, and the evaluation of finance research.