Teaching

As Instructor

1. Intro to Marketing (Undergraduate) - Summer 24

As Teaching Assistant

1. Marketing (EMBA/MBA; Priya Raghubir) - Fall 25
2. Intro to Marketing (Undergraduate; Raluca Ursu) - Spring 24,25,26
3. Data Driven Decision Making (MBA/MS; Xiao Liu & Vishal Singh) - Fall 23, Spring 25
4. Marketing and Sustainability (EMBA/MBA; Bryan Bollinger) - Fall 22, Spring 23, Fall 24
5. Pricing (MBA; Masakazu Ishihara) - Spring 24
6. Firms and Markets (MBA; Giri Parameswaran) - Summer 23,24

Ph.D. Coursework

Quantitative Marketing

• Quantitative Applications in Marketing I (NYU Stern, Tülin Erdem)
• Quantitative Applications in Marketing II (NYU Stern, Eitan Muller)
• Advanced Empirical Methods (NYU Stern, Masakazu Ishihara)
• Empirical Models (Columbia, Oded Netzer)
• Applied Multivariate Statistics (Columbia, Kamel Jedidi)

  Behavioral Marketing

• Behavioral Applications in Marketing I (NYU Stern, Andrea Bonezzi)
• Behavioral Applications in Marketing II (NYU Stern, Minah Jung)
• Research Methods (NYU Stern, Joel Steckel)
• Bridging Consumer Decision Making (Columbia, Ran Kivetz)

  Economics (All Econ Ph.D. level)

• Econometrics I (NYU GSAS, Quang Vuong & Konrad Menzel)
• Econometrics I-II (Duke GSAS, Federico Bugni & Matthew Masten)
• Industrial Organization I (NYU GSAS, Boyan Jovanovic)
• Industrial Organization II (NYU GSAS, Daniel Waldinger)
• Empirical Industrial Organization (NYU Stern, Christopher Conlon)
• Doctoral Seminar in Digital Economics (NYU Stern, Arun Sundararajan)
• Macroeconomics I (NYU GSAS, Corina Boar)
• Microeconomics I (Duke GSAS, Curtis R. Taylor & Philipp Sadowski)

  Data Science

• Machine Learning (NYU, He He & Tal Linzen)
• Deep Learning (NYU, Yann Lecun & Mengye Ren)
• Inference and Representation (NYU, Joan Bruna; Statistics Ph.D. Core)