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.
            
                           
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                            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  | 
                      
                           
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                            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  | 
                      
                           
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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  | 
                      
                           
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                            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  | 
                      
                           
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                            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)  | 
                      
                           
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                            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  | 
                      
                           
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                            On the Opportunities and Risks of Foundation Models 
                        Rishi Bommasani,...,Hamed Nilforoshan,..., Percy Liang (116 authors) Arxiv 2021  | 
                      
                           
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                            SliceNDice: Mining Suspicious Multi-attribute Entity Groups with Multi-view Graphs 
                        Hamed Nilforoshan, Neil Shah IEEE DSAA 2019 pdf slides code  | 
                      
                           
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                            Leveraging Quality Prediction Models for Automatic Writing Feedback 
                        Hamed Nilforoshan, Eugene Wu ICWSM 2018 pdf slides code  | 
                      
                           
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                            PreCog: Improving Crowdsourced Data Quality Before Acquisition 
                        Hamed Nilforoshan, Jiannan Wang, Eugene Wu Arxiv 2017  | 
                      
                           
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                            Segment-Predict-Explain for Automatic Writing Feedback 
                        Hamed Nilforoshan, James Sands, Rahul Khanna, Eugene Wu Collective Intelligence 2017  | 
                      
          
            PhD Student
            Computer Science
            
            Stanford University
          
            Gates CS Building
            353 Jane Stanford Way
            Stanford, CA 94305
          
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