Department of Economics, University of Oklahoma, Norman

Economics of Capital Markets (University of Oklahoma, Norman): Advanced undergraduate introduction to finance.

Econometrics II (University of Oklahoma, Norman): Ph.D. core class on causal inference, including RCTs-A/B Testing, Matching, IV and IV robustness, RDD and identification in panel data.

David Eccles School of Business, University of Utah

Machine Learning and Econometrics for Business (University of Utah): Advanced undergraduate introduction to Machine Learning with emphasis on complementarity of Machine Learning and Causal Inference. With lab classes, introducing Python for Machine Learning.

Econometrics I (University of Utah): Ph.D. core class on basics of probability, statistics and causal inference. With detailed introduction to STATA.

Department of Economics, University of Washington, Seattle 

Finance and Investments (University of Washington, Seattle): Advanced undergraduate introduction to finance.

Venture Capital and Private Equity (University of Washington, Seattle): Advanced undergraduate course, covering common tools to value, structure and exit deals in VC and Private Equity, using tools from finance, economics and strategic management.

Macroeconomics III (University of Washington, Seattle): First-year Ph.D. course in macroeconomics, covering Dynamic Programming, RBC methodology and DSGE models with particular emphasis on fiscal policy.

Firm Dynamics (University of Washington, Seattle): Second-year Ph.D. course, covering theoretical and empirical work on understanding the sources and consequences of performance differences across firms.