Econometrics and Causal Inference with R

Dmitry Kurochkin received his PhD in mathematics from Tulane University, where he worked on the development of numerical methods for optimal control problems. Kurochkin holds master's degrees in statistics, chemistry, physics, mathematics, applied mathematics, and economic analysis and policy. He earned professional graduate certificates in data science and principles of finance from the Harvard Extension School and was involved in data-driven research projects that addressed strategic questions for Harvard University. He began teaching at the Harvard Extension School in 2019 and has since taught courses in statistics, econometrics, time series analysis, Bayesian inference, deep learning, reinforcement learning, and natural language processing. Kurochkin worked as a quantitative research developer at Investment Technology Group and was a researcher at Tulane University, Tulane Energy Institute, and Harvard Business School. Kurochkin has published books on energy policy and gender justice.