avatar_1.jpg

Majid Maki

Lecturer

m_maki@ischool.berkeley.edu

Focus

Macroeconomics, Behavioral finance, Applied econometrics, Deep reinforcement learning

Biography

I am a Postdoctoral Research Scholar and lecturer at the School of Information at UC Berkeley. I received my Ph.D. in Economics from the University of Wisconsin, Milwaukee, in 2019.

My research studies opinion dynamics on social networks and the influence of social learning on market behavior, particularly in the cryptocurrency market. A second research agenda focuses on the utility of deep reinforcement learning and Explainable AI in finance and macroeconomics.

People

Recent courses taught

Fall 2023

Data Science 203. Statistics for Data Science
Data Science 203. Statistics for Data Science
Data Science 271. Statistical Methods for Discrete Response, Time Series, and Panel Data

Summer 2023

Data Science 271. Statistical Methods for Discrete Response, Time Series, and Panel Data
Data Science 271. Statistical Methods for Discrete Response, Time Series, and Panel Data

Spring 2023

Data Science 271. Statistical Methods for Discrete Response, Time Series, and Panel Data
Data Science 271. Statistical Methods for Discrete Response, Time Series, and Panel Data

Fall 2022

Data Science 271. Statistical Methods for Discrete Response, Time Series, and Panel Data

Last updated:

April 16, 2024