Moeen Nehzati

Office 630

19 West 4th Street

New York, NY 10003

I’m a Ph.D. student at NYU department of economics. Previously, I was a Predoctoral Research Fellow at UCLA Anderson School of Management working on genoeconomics with Daniel Benjamin and Alexander Young. Prior to that, I held the same position at USC and before that, I was an auction design consultant at Cafe Bazaar, working on online ad auctions. I did my undergrad in computer engineering at Sharif University of Technology with a dissertation on algorithmic welfare maximization in the Lightning Network, an off-chain solution to Bitcoin’s scalability problem.

My interest spans a wide range of topics all with a slight computational flavor: Economic Theory, Applied Microeconomics, and Econometrics and Machine Learning

selected publications

Nat. Genet.

Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals

Aysu Okbay, Yeda Wu, Nancy Wang , and 8 more authors

Nature genetics, 2022

Bib HTML

@article{okbay2022polygenic,
  title = {Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals},
  author = {Okbay, Aysu and Wu, Yeda and Wang, Nancy and Jayashankar, Hariharan and Bennett, Michael and Nehzati, Seyed Moeen and Sidorenko, Julia and Kweon, Hyeokmoon and Goldman, Grant and Gjorgjieva, Tamara and others},
  journal = {Nature genetics},
  pages = {1--13},
  year = {2022},
  publisher = {Nature Publishing Group},
}