Maryam Farboodi, Ph.D

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Maryam Farboodi, Ph.D

Maryam Farboodiis the Jon D. Gruber Career Development Professor and an Assistant Professor of Finance at the MIT Sloan School of Management. Her research focuses on the economics of big data. She studies how big data technologies have changed trading strategies and financial outcomes, as well the consequences of the emergence of big data for technological growth in the real economy. She also works on developing methodologies to estimate the value of data.

Furthermore, she studies intermediation and network formation among financial institutions, and the spillovers to the real economy. She is also interested in how information frictions shape the local and global economic cycles. Most recently, she is also working on understanding the covid19 pandemic and associated policies.

Previously, Farboodi was an Assistant Professor at the Bendheim Center for Finance at Princeton University. She holds a BSc in computer engineering from Sharif University of Technology, an MSc in computer science from the University of Maryland, College Park, and a joint PhD in financial economics from the Booth School of Business and the Department of Economics at the University of Chicago.

January 2022

Jan
19
Wed

Frontiers in Investment Data Science: 5th Annual Data Science in Finance Conference

Explore new frontiers in investment data science at the 5th Annual Data Science in Finance conference, presented in partnership with the Society of Quantitative Analysts (SQA). This two-day event, taking place from 9:00 AM to noon ET on January 19th and 20th, will feature three informative, not-to-be-missed sessions per day.

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Conference / Seminar, Quantitative Investing, Virtual Events & Programming
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