• neil at nshah dot net [personal]
  • nshah at snap dot com [work]


  • 2025 1st Avenue
  • Seattle, WA 98121

About Me

I am a Research Scientist at Snap Research. My work spans the data mining, machine learning, and computational social science domains, and especially focuses on graph-based techniques for user behavior and misbehavior modeling on social 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. There, I worked with Nagiza Samatova on reduction, indexing and storage systems for large-scale scientific data.

If you would like to learn more about my work, take a look at my publications and CV. Please reach out to me via my personal e-mail for consulting inquiries.

A note to prospective interns: Please apply on the Snap Research website here, and e-mail me afterwards.

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