J. Antonio Sidaoui

Ph.D. Candidate, Department of Industrial Engineering & Operations Research
Columbia University in the City of New York

2

Papers Released

3

Talks Given

4

Courses Taught

Latest News

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New Paper Release

June 24, 2025

Data-Driven Dynamic Factor Modeling via Manifold Learning posted. 

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SoFiE Conference 

June 9-12, 2025

Present Graph Machine Learning paper at the 17th Annual Society for Financial Econometrics Conference. 

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Graph ML Paper Accepted at SoFiE, NFA, FRR Conferences

March-April, 2025

Graph ML paper accepted at SoFiE, NFA, inaugural FRR conferences. 

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New Paper Release

December 9, 2024

Graph Machine Learning for Asset Pricing posted.

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About

J. Antonio Sidaoui is a Ph.D candidate at Columbia University's Department of Industrial Engineering & Operations Research. He joined the department in 2023 after obtaining an M.S. in Statistics & Data Science at Yale University and a B.A. and B.S. in Mathematical Economics and Statistics at the University of Pennsylvania, Wharton School respectively. 

J. Antonio's research focuses on the discovery and design of novel Machine Learning methodologies for financial applications, most recently Graph Machine Learning for Asset Pricing and Manifold Learning for Data-Driven Risk Management. 

 

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Contact Info

  • Email: j.sidaoui@columbia.edu
  • Address: 500 W 120th St, New York, NY 10027
  • © 2025 J. Antonio Sidaoui

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