• 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 and manager at Snap Research, where I lead a team of research scientists, engineers and interns towards efforts in pushing forward the state-of-the-art in machine learning algorithms and applications on large-scale graph data. My work broadly spans the data mining, machine learning, network science and computational social science domains.

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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