• 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 on fundamental and applied research initiatives in user modeling and personalization across Snapchat. I am especially interested in pushing forward the state-of-the-art in machine learning algorithms and applications on large-scale structured data. My work broadly spans the machine learning, data mining, network science, computational social science and software engineering 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.

I'm hiring for Research Scientist and Research Engineer roles. Come work with me on recommendation systems, structured data models and efficient large-scale ML!

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