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 develop data science and machine learning methods for healthcare and public policy. My research leverages terabyte-scale datasets to understand human behaviour and to build models that empower individuals to make decisions that are safe and equitable. I am grateful to be supported by the Knight-Hennessy and NSF Graduate Research Fellowships.

Human Exposure Networks Reveal Increased Segregation in Large Cities
Hamed Nilforoshan*, Wenli Looi*, Emma Pierson*, Blanca Villanueva, Nic Fishman, Yiling Chen, John Solar, Beth Redbird, David Grusky, Jure Leskovec
pdf   article   Nature briefing   website   press release  data  
Zero-shot Causal Learning
Hamed Nilforoshan*, Michael Moor*, Yusuf Roohani, Yining Chen, Anja Šurina, Michihiro Yasunaga, Sara Oblak, Jure Leskovec
NeurIPS 2023 Spotlight
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The Measure and Mismeasure of Fairness
Sam Corbett-Davies*, Johann Gaebler*, Hamed Nilforoshan*, Ravi Shroff, Sharad Goel
JMLR 2023
pdf code
Graph-Based Clinical Recommender: Predicting Specialists Procedure Orders using Graph Representation Learning
Sajjad Fouladvand*, Federico Reyes Gomez*, Hamed Nilforoshan, Matthew Schwede, Morteza Noshad, Olivia Jee, Jiaxuan You, Rok Sosic, Jure Leskovec, Jonathan Chen
Journal of Biomedical Informatics
Causal Conceptions of Fairness and their Consequences
Hamed Nilforoshan*, Johann Gaebler*, Ravi Shroff, Sharad Goel
ICML 2022 Long Talk
ACIC 2022 Oral
pdf code podcast   
Best Paper Award (ICML Outstanding Paper)
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
PreCog: Improving Crowdsourced Data Quality Before Acquisition
Hamed Nilforoshan, Jiannan Wang, Eugene Wu
Arxiv 2017
Segment-Predict-Explain for Automatic Writing Feedback
Hamed Nilforoshan, James Sands, Rahul Khanna, Eugene Wu
Collective Intelligence 2017

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

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