Teaching
Networks and Markets
An applied math modeling course, providing an introduction to game theory, graphs/networks, markets, and platforms, with examples drawn from online markets, social media, AI, and civic systems.
Applied Data Science: Decision-making beyond prediction
An applied data science course, with modules on data collection/surveys, recommender systems, pricing, and experimentation.
Fall 2021 was named People, Data, and Systems.
Engineering Societal Systems
A PhD seminar on applying algorithms, machine learning, market design, and data science to democracy, markets, government, and other societal systems.
Applied Bayesian Data Analysis for Research
A hands-on PhD course on Bayesian modeling for research, focused on practical inference, model checking, and implementation in modern probabilistic tools, along with reading research papers.
Break Through Tech AI Foundations
A project-based machine learning foundations course within Break Through Tech's AI program that prepares undergraduates for real-world AI work.
Contact me at ngarg@REMOVETHIScornell.REMOVETHISedu. Applicants: please read the information at the Contact page before emailing me.