Hamed Nilforoshan

I am a Computer Science PhD student at Stanford University, advised by Prof. Jure Leskovec. Previously, I was a Machine Learning Data Scientist at Airbnb. I received my Bachelors in Computer Science at Columbia University, where I was advised by Prof. Eugene Wu.

I am broadly interested in developing data science and machine learning methods to quantify, understand, and mitigate structural inequalities. I am grateful to be supported by the Knight-Hennessy and NSF Graduate Research Fellowships.

2022
Interaction Networks Reveal that Large, Dense Cities Facilitate Segregation
Hamed Nilforoshan*, Wenli Looi*, Emma Pierson*, Blanca Villanueva, Nic Fishman, Yiling Chen, John Solar, Beth Redbird, David Grusky, Jure Leskovec
In Preparation
Causal Conceptions of Fairness and their Consequences
Hamed Nilforoshan, Johann Gaebler, Ravi Shroff, Sharad Goel
In Preparation
2021
Large-Scale Diet Tracking Data Reveal Disparate Impacts of Food Environment
Tim Althoff, Hamed Nilforoshan, Jenna Hua, Jure Leskovec
Nature Communications
pdf    Nature Communications    press release    dataset   
On the Opportunities and Risks of Foundation Models
Rishi Bommasani,...,Hamed Nilforoshan,..., Percy Liang (116 authors)
Arxiv 2021
pdf
2019
2018
2017
PreCog: Improving Crowdsourced Data Quality Before Acquisition
Hamed Nilforoshan, Jiannan Wang, Eugene Wu
Arxiv 2017
pdf
Segment-Predict-Explain for Automatic Writing Feedback
Hamed Nilforoshan, James Sands, Rahul Khanna, Eugene Wu
Collective Intelligence 2017
pdf

Paul G. Allen School of Computer Science & Engineering at the University of Washington

PhD Student
Computer Science
Stanford University

Gates CS Building
353 Jane Stanford Way
Stanford, CA 94305


CV
Google Scholar
linkedin


Design by David Jurgens