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Career

· Postdoctoral Researcher, University of California, Berkeley - Simons Institute for the Theory of Computing2025–
· Machine Learning Data Scientist, Airbnb2020–
· PhD in Computer Science, Stanford University2020–
· Research Assistant, University of California, Berkeley - Simons Institute for the Theory of Computing2020–

Publications (14)

On the Opportunities and Risks of Foundation Models
arXiv.org · 2021
5,795
cited
The Measure and Mismeasure of Fairness
2018
189
cited
Human mobility networks reveal increased segregation in large cities
Nature · 2023
106
cited
Large-scale diet tracking data reveal disparate associations between food environment and diet
Nature Communications · 2022
66
cited
Causal Conceptions of Fairness and their Consequences
International Conference on Machine Learning · 2022
51
cited
SliceNDice: Mining Suspicious Multi-Attribute Entity Groups with Multi-View Graphs
International Conference on Data Science and Advanced Analytics · 2019
24
cited
Zero-shot causal learning
Neural Information Processing Systems · 2023
18
cited
Leveraging Quality Prediction Models for Automatic Writing Feedback
International Conference on Web and Social Media · 2017
8
cited
PreCog: Improving Crowdsourced Data Quality Before Acquisition
arXiv.org · 2017
3
cited
Human interaction networks reveal that large cities facilitate segregation
arXiv.org · 2022
2
cited
How Food Environment Impacts Dietary Consumption and Body Weight: A Country-wide Observational Study of 2.3 Billion Food Logs
medRxiv · 2020
1
cited
Dialectic: Enhancing Text Input Fields with Automatic Feedback to Improve Social Content Writing Quality
arXiv.org · 2017
Segment-Predict-Explain for Automatic Writing Feedback
2017
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Hamed Nilforoshan | Researcher Profile | Sotabase | Sotabase