Contact
- neil at nshah dot net [personal]
- nshah at snap dot com [work]
Location
- 2850 Ocean Park Blvd.
- Santa Monica, CA 90405
About Me
I am a Research Scientist at Snap Inc. My work spans computational user modeling and user understanding, especially in the contexts of misbehavior, abuse and fraud on web platforms.
Before I joined Snap, I defended my PhD thesis in the Computer Science Department at Carnegie Mellon University, where I worked on discovering and modeling various types of abusive online behaviors as anomaly detection problems in large networks. I was very fortunate to have been advised by Christos Faloutsos.
Prior to this, I received my B.S. in Computer Science from the Department of Computer Science at North Carolina State University. My undergraduate research focused on reduction, indexing and storage of large-scale scientific data, and was supervised by Nagiza Samatova.
If you would like to learn more about my work, take a look at my publications and CV.
Recent News
- July 2019: I will be giving a keynote talk on Outlier Detection for Mining Social Misbehavior at the Learning and Mining for Cybersecurity (LEMINCS) workshop at KDD 2019 -- see you in Anchorage!
- July 2019: Our paper SliceNDice: Mining Suspicious Multi-attribute Entity Groups with Multi-view Graphs was accepted to DSAA 2019 -- see you in Washington, DC!
- July 2019: Our paper FARE: Schema-Agnostic Anomaly Detection in Social Event Logs was accepted to DSAA 2019 -- see you in Washington, DC!
- July 2019: I will be chairing WSDM Cup at WSDM 2020 -- see you in Houston!
- June 2019: Our paper Characterizing and Detecting Livestreaming Chatbots was accepted to ASONAM 2019 -- see you in Vancouver!
- April 2019: Our paper Modeling Dwell Time Engagement on Visual Multimedia was accepted to KDD 2019 -- see you in Anchorage!
- March 2019: Our CHI 2019 paper on Impact
of Contextual Factors on Public Snapchat Sharing
won a Best Paper Honorable Mention award! - December 2018: Our paper Impact of
Contextual Factors on Public Snapchat Sharing
was accepted to CHI 2019 -- see you in Glasgow! - December 2018: Our work on false information with Vagelis Papalexakis was featured on the NVIDIA AI Podcast!
- November 2018: I will be chairing the CyberSafety workshop at WWW 2019 -- see you in San Francisco!
- October 2018: I will be chairing the ASONAM 2019 Industrial Track -- see you in Vancouver!
- September 2018: I will be giving a keynote talk on Lessons I learned during my PhD at the PhD Forum at ECML-PKDD 2019 -- see you in Dublin!
- August 2018: Our work on false information with Vagelis Papalexakis is featured in a Digital Trends article.
- July 2018: I will be giving a keynote talk on Outlier Detection for Mining Social Misbehavior at the Outlier Detection De-constructed (ODD) workshop at KDD 2018 -- see you in London!
- June 2018: Our paper Did We Get It Right? Predicting Query Performance in E-commerce Search was accepted to the eCom Workshop at SIGIR 2018!
- June 2018: Our paper Beyond Outlier Detection: LookOut for Pictorial Explanation was accepted to ECML-PKDD 2018 -- see you in Dublin!
- June 2018: Our paper Semi-supervised Content-based Detection of Misinformation via Tensor Embeddings was accepted to ASONAM 2018 -- see you in Barcelona!
- April 2018: Srijan Kumar and I published a comprehensive survey on characterizing and detecting false information, False Information on Web and Social Media: A Survey. Check it out!
- March 2018: I will be giving a keynote talk on Anomaly Detection on Large Social Graphs at the CyberSafety workshop at WWW 2018 -- see you in Lyon!
- January 2018: Our paper Reducing Large Graphs to Small Supergraphs: A Unified Approach will be published in SNAM 2018!
- December 2017: I have joined Snap Inc as a Research Scientist in Los Angeles, CA!
- October 2017: I successfully defended my thesis, Anomaly Detection in Large Social Graphs, from Carnegie Mellon University's School of Computer Science, advised by Christos Faloutsos.