Moeen Nehzati

Office 630

19 West 4th Street

New York, NY 10003

I'm a Ph.D. student at NYU department of economics.

My interests are centered around mathematical and computational optimization and their application to economic theory and machine learning. Recently, I've been focusing on computational optimal transport theory and its applications to mechanism design and matching.

Previously, I was a Predoctoral Research Fellow at UCLA Anderson School of Management, where I worked on large-scale causal inference using genetic data. Before that, I was an auction design consultant at Cafe Bazaar, optimizing their online ad auctions. I earned my B.Sc. in Computer Engineering from Sharif University of Technology somewhere along the way.

Outside of work, I get overly excited by cats, cooking and baking, fantasy (unfortunately not LOTR), modern history (especially the Middle East), population genetics, mathematical logic, theory of computation, and foundations of math.

selected publications

arXiv

Universal Representation of Generalized Convex Functions and their Gradients

Moeen Nehzati

2025

Bib HTML

@article{nehzati2025universalrepresentationgeneralizedconvex,
  title = {Universal Representation of Generalized Convex Functions and their Gradients},
  author = {Nehzati, Moeen},
  year = {2025},
  eprint = {2509.04477},
  archiveprefix = {arXiv},
  primaryclass = {math.OC},
}

Nat. Genet.

Family-based genome-wide association study designs for increased power and robustness

Junming Guan, Tammy Tan, Seyed Moeen Nehzati , and 4 more authors

Nature Genetics, 2025

Bib HTML

@article{guan2025family,
  title = {Family-based genome-wide association study designs for increased power and robustness},
  author = {Guan, Junming and Tan, Tammy and Nehzati, Seyed Moeen and Bennett, Michael and Turley, Patrick and Benjamin, Daniel J and Young, Alexander Strudwick},
  journal = {Nature Genetics},
  pages = {1--9},
  year = {2025},
  publisher = {Nature Publishing Group US New York},
}

Nat. Genet.

Mendelian imputation of parental genotypes improves estimates of direct genetic effects

Alexander I Young, Seyed Moeen Nehzati, Stefania Benonisdottir , and 7 more authors

Nature Genetics, 2022

Bib HTML

@article{young2022mendelian,
  title = {Mendelian imputation of parental genotypes improves estimates of direct genetic effects},
  author = {Young, Alexander I and Nehzati, Seyed Moeen and Benonisdottir, Stefania and Okbay, Aysu and Jayashankar, Hariharan and Lee, Chanwook and Cesarini, David and Benjamin, Daniel J and Turley, Patrick and Kong, Augustine},
  journal = {Nature Genetics},
  volume = {54},
  number = {6},
  pages = {897--905},
  year = {2022},
  publisher = {Nature Publishing Group US New York},
}