Hamed Nilforoshan

I am the CEO and Co-Founder of HiringCafe. Our mission is to help every individual achieve economic mobility. We are building a real-time dataset of every job on earth, and the AI to match every individual to the perfect job.

Previously, I was a Computer Science PhD student at Stanford University, advised by Prof. Jure Leskovec. Before that, I was a Machine Learning Data Scientist at Airbnb.

I work at the intersection of AI and terabyte-scale, messy, noisy data. During my PhD, I developed data science and AI methods for healthcare and public policy ( Highlights: Nature '23, ICML '22 Best Paper Award). I am grateful to have been supported by the Knight-Hennessy and NSF Graduate Research Fellowships.

2026
Revised estimates of the types and durations of long Covid symptoms based on claims records from 245 million US patients
Hamed Nilforoshan, Julia Reisler, Erfan Jahanparast, Michael Moor, Steven N. Goodman, Stefan Wager, Jure Leskovec
Under Review in PNAS 2026
pdf   medRxiv  
2024
Crystal Structure Determination from Powder Diffraction Patterns with Generative Machine Learning
Eric Riesel*, Tsach Mackey*, Hamed Nilforoshan, Minkai Xu, Catherine Badding, Alison Altman, Jure Leskovec, Danna Freedman
Journal of the American Chemical Society (JACS) 2024
pdf   code   website   press release  
2023
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
Nature
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
pdf code
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
pdf   
2022
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)
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


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