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<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd">
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<meta name="keywords" content="hamed nilforoshan, nilforoshan, hamed stanford, hamed columbia, nilforoshan, snap, stanford snap, jure leskovec, social justice, inequality, misbehavior computer science, machine learning">
<title>Hamed Nilforoshan - CS PhD @ Stanford University</title>
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<h1 style="font-weight:200; text-align: center; margin-bottom: 20px ;font-size:30px;">﷽</h1>
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<h1 style="font-weight:200">Hamed Nilforoshan</h1>
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<img src="images/photo.png" width="250px" alt="" style="margin-top: 5px; margin-bottom: 40px; width: 250px;">
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<p style="font-size:16px; font-weight:200; line-height: 24px; margin-top: 0px ">
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. <br><br>
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.<br><br>
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<li class="tabs-title is-active" role="presentation"><a href="index.html#panel1" aria-selected="true" style="font-size:18px; color:grey" role="tab" aria-controls="panel1" id="panel1-label">Publications</a></li>
<li class="tabs-title" role="presentation"><a href="index.html#panel4" style="font-size:18px; color:grey" role="tab" aria-controls="panel4" aria-selected="false" id="panel4-label">Industrial Experience</a></li>
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<h5>2023</h5>
<table class="table papers" style="margin-top: 15px;">
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<a target="_new" href="index.html#" class="papertitle">Human Exposure Networks Reveal Increased Segregation in Large Cities</a><br>
<i>Hamed Nilforoshan*</i>, Wenli Looi*, Emma Pierson*, Blanca Villanueva, Nic Fishman, Yiling Chen, John Solar, Beth Redbird, David Grusky, Jure Leskovec<br>
<i>Nature</i> <br>
<a target="_new" href="docs/nature-segregation-23.pdf">pdf</a>
<a target="_new" href="https://www.nature.com/articles/s41586-023-06757-3">article</a>
<a target="_new" href="https://www.nature.com/articles/d41586-023-03373-z"><i>Nature</i> briefing</a>
<a target="_new" href="http://segregation.stanford.edu/">website</a>
<a target="_new" href="https://news.stanford.edu/2023/11/29/big-cities-foster-economic-segregation/review/">press release</a>
<a target="_new" href="http://segregation.stanford.edu/#data">data</a>
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<a target="_new" href="index.html#" class="papertitle">Zero-shot Causal Learning</a><br>
<i>Hamed Nilforoshan*</i>, Michael Moor*, Yusuf Roohani, Yining Chen, Anja Šurina, Michihiro Yasunaga, Sara Oblak, Jure Leskovec<br>
<i>NeurIPS 2023 <b>Spotlight</b></i> <br>
<a target="_new" href="https://arxiv.org/abs/2301.12292">pdf</a>
<a target="_new" href="https://github.com/snap-stanford/caml">code</a>
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<a target="_new" href="index.html#" class="papertitle">The Measure and Mismeasure of Fairness</a><br>
Sam Corbett-Davies*, Johann Gaebler*, <i>Hamed Nilforoshan*</i>, Ravi Shroff, Sharad Goel<br>
<i>JMLR 2023</i> <br>
<a target="_new" href="https://arxiv.org/abs/1808.00023">pdf</a>
<a target="_new" href="https://github.com/jgaeb/measure-mismeasure">code</a>
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<a target="_new" href="index.html#" class="papertitle">Graph-Based Clinical Recommender: Predicting Specialists Procedure Orders using Graph Representation Learning</a><br>
Sajjad Fouladvand*, Federico Reyes Gomez*, <i>Hamed Nilforoshan</i>, Matthew Schwede, Morteza Noshad, Olivia Jee, Jiaxuan You, Rok Sosic, Jure Leskovec, Jonathan Chen<br>
<i>Journal of Biomedical Informatics</i> <br>
<a target="_new" href="https://www.medrxiv.org/content/10.1101/2022.11.21.22282571v1">pdf</a> <br>
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<h5>2022</h5>
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<a target="_new" href="index.html#" class="papertitle">Causal Conceptions of Fairness and their Consequences</a><br>
<i>Hamed Nilforoshan*</i>, Johann Gaebler*, Ravi Shroff, Sharad Goel<br>
<i>ICML 2022 Long Talk</i> <br>
<i>ACIC 2022 Oral</i> <br>
<a target="_new" href="docs/causal-fairness22.pdf">pdf</a>
<a target="_new" href="https://github.com/stanford-policylab/causal-fairness">code</a>
<a target="_new" href="https://www.youtube.com/watch?v=gsICBTvVY2E">podcast</a>
<br>
<b><i class="fas fa-trophy"></i> Best Paper Award </b> (ICML Outstanding Paper)<br>
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<h5>2021</h5>
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<img class="paperimage" alt="" src="images/food_desert.png">
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<a target="_new" href="index.html#" class="papertitle">Large-Scale Diet Tracking Data Reveal Disparate Impacts of Food Environment</a><br>
Tim Althoff, <i> Hamed Nilforoshan</i>, Jenna Hua, Jure Leskovec<br>
<i>Nature Communications</i><br>
<!--<a target="_new" href="docs/diet21.pdf">pdf</a>-->
<a target="_new" href="docs/diet21.pdf">pdf</a>
<a target="_new" href="https://www.nature.com/articles/s41467-021-27522-y"><i>Nature Communications</i></a>
<a target="_new" href="https://news.cs.washington.edu/2022/01/18/deserts-demographics-and-diet-uw-and-stanford-researchers-reveal-findings-of-nationwide-study-of-the-relationship-between-food-environment-and-healthy-eating/">press release</a>
<a target="_new" href="http://snap.stanford.edu/dietdisparities/">dataset</a>
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<a target="_new" href="index.html#" class="papertitle">On the Opportunities and Risks of Foundation Models</a><br>
Rishi Bommasani,...,<i>Hamed Nilforoshan</i>,..., Percy Liang (116 authors) <br>
<i>Arxiv</i> 2021<br>
<a target="_new" href="https://arxiv.org/abs/2108.07258">pdf</a>
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<h5>2019</h5>
<table class="table papers" style="margin-top: 15px;">
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<a target="_new" href="index.html#" class="papertitle">SliceNDice: Mining Suspicious Multi-attribute Entity Groups with Multi-view Graphs</a><br>
<i>Hamed Nilforoshan</i>, Neil Shah<br>
<i>IEEE DSAA</i> 2019<br>
<a target="_new" href="https://arxiv.org/pdf/1908.07087.pdf">pdf</a>
<a target="_new" href="docs/SliceNDice.pptx">slides</a>
<a target="_new" href="https://github.com/hamedn/SliceNDice">code</a>
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<h5>2018</h5>
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<a target="_new" href="index.html#" class="papertitle">Leveraging Quality Prediction Models for Automatic Writing Feedback</a><br>
<i>Hamed Nilforoshan</i>, Eugene Wu<br>
<i>ICWSM</i> 2018<br>
<a target="_new" href="https://arxiv.org/abs/1701.06718">pdf</a>
<a target="_new" href="docs/Dialectic.pptx">slides</a>
<a target="_new" href="https://github.com/cudbg/DialecticICWSM">code</a>
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<h5>2017</h5>
<table class="table papers" style="margin-top: 15px;">
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<img class="paperimage" alt="" src="images/precog.png">
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<a target="_new" href="index.html#" class="papertitle">PreCog: Improving Crowdsourced Data Quality Before Acquisition</a><br>
<i>Hamed Nilforoshan</i>, Jiannan Wang, Eugene Wu<br>
<i>Arxiv</i> 2017<br>
<a target="_new" href="https://arxiv.org/abs/1704.02384">pdf</a>
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<a target="_new" href="index.html#" class="papertitle">Segment-Predict-Explain for Automatic Writing Feedback</a><br>
<i>Hamed Nilforoshan</i>, James Sands, Rahul Khanna, Eugene Wu<br>
<i>Collective Intelligence</i> 2017<br>
<a target="_new" href="docs/dialectic-ci17.pdf">pdf</a>
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Coming Soon!
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<!-- START PANEL 4 INDUSTRIAL EXPERIENCE -->
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<p> Before starting my PhD, I worked as a Machine Learning Data Scientist at Airbnb.
I designed several algorithms, currently in production, to mitigate gun violence, money-laundering, and credit card theft on the platform. </p>
<p>Prior to Airbnb, I worked at Snapchat, where I built <a href="https://arxiv.org/abs/1908.07087">SliceNDice</a>, a graph-based method used to catch botnets and rings of fraudulent advertisers.
Two years later, SliceNDice is still in production, and has resulted in two patents in addition to the publication. </p>
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<p>If you are a college or high-school student seeking advice with any of the below, AND come from an under-represented background*, please send me and email and I am happy to help.</p>
<p>• CS PhD, graduate fellowship, or college applications </p>
<p>• Getting involved with research, or transitioning from industry to academia </p>
<p>• Career advice relating to data science or software engineering </p>
<p>• Reconciling religious faith with a secular career </p>
<p><i>* While under-representatation is typically defined along the lines of income, race/ethnicity, and gender (e.g. BIPOC, first-generation), there are also many other "invisible" forms of under-representation (e.g. along ideological lines of religion or politics) which manifest in the field of computer science and elite academic institutions. I am equally committed to increasing diversity across all of the above, so when in doubt, please reach out!</i></p>
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<!-- END PANEL 5 PROSPECTIVE STUDENTS -->
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<hr>
<a target="_new" href="http://cs.washington.edu/"><img style="height: 200px; display: block; margin-left: auto; margin-right: auto" alt="Paul G. Allen School of Computer Science & Engineering at the University of Washington" src="images/S-Logo.png"></a>
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<p>
PhD Student<br>
<a target="_new" href="http://cs.stanford.edu/">Computer Science</a><br><!-- and -->
<!-- <a target="_new" href="https://ischool.uw.edu/">iSchool (Adjunct)</a><br> -->
<a target="_new" href="http://stanford.edu.edu/">Stanford University</a><br>
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<script language="JavaScript">
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<p>
Gates CS Building<br>
353 Jane Stanford Way<br>
Stanford, CA 94305<br>
</p>
<hr>
<p>
<a target="_new" href="docs/CV_Hamed_Nilforoshan.pdf">CV</a><br>
<a target="_new" href="https://scholar.google.com/citations?user=ShRQGYMAAAAJ&hl=en">Google Scholar</a><br>
<a target="_new" href="https://www.linkedin.com/in/hamed-nilforoshan-7359221b7/">linkedin</a>
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<p style="font-size:10px">Design by <a target="_new" href="http://jurgens.people.si.umich.edu/">David Jurgens</a></p>
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