Current Teaching:
Undergraduate: Econometrics, Advanced Econometrics, Strategy and Competition
Postgraduate: Financial Econometrics, Deep Learning
PhD: Data Science and Machine Learning
Professional Programs: CFA Series
Past Teaching Experience:
Economics & Econometrics: Econometrics, Advanced Econometrics, Macroeconomics, Advanced Macroeconomics, Probability and Optimization, Business Economics, Introduction to Economics, The Economics of Migration, Current Issues in Economics
Finance & Accounting: Finance Dissertation Supervision, Introduction to Accounting, Finance, Research Methods for Executives
Quantitative Methods & Analytics: Mathematics and Statistics, Business Analytics, Machine Learning, PhD-level Econometrics
Teaching Highlights:
Combines economic theory, quantitative methods, and cutting-edge data science to deliver practical, real-world insights.
Expert at guiding students from undergraduate to PhD level, as well as professionals pursuing CFA certification.
Experienced in interdisciplinary teaching, integrating economics, finance, strategy, and analytics for a holistic learning experience.
Focus on equipping students with skills to analyze complex economic, financial, and business problems using advanced econometric and machine learning techniques.