About Me

I am currently a research scientist and manager at Snap Research, leading a team of scientists, engineers and interns and collaborators on fundamental and applied research initiatives in user modeling and personalization across Snapchat. I am broadly interested in advancing the state-of-the-art in machine learning algorithms and applications the realm of large-scale structured data -- such as graph and sequential representations -- and generative recommendation systems. I am especially in applications to recommendation systems and trust and safety problems at scale. My work broadly spans the machine learning, data mining, and software engineering domains.

Before I joined Snap, I completed my PhD in the Computer Science Department at Carnegie Mellon University, where I worked on discovering and modeling various types of abusive online behaviors 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, please take a look at my publications and CV. Please reach out to me via my personal e-mail for consulting inquiries.

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