Clark is a Research Scientist at Snap on the User Modeling & Personalization team. His work focuses on generative recommendation and representation learning. He holds a PhD in Computer Science and Engineering from the University of Notre Dame, which he completed in 2024.
Based in Bellevue, Washington, Clark is actively seeking collaborations with universities and research interns to advance the study of recommendation systems and generative information retrieval. He has a history of mentoring and working with collaborators on cutting-edge research.
His research on Universal User Modeling was successfully launched in production at Snapchat, improving key metrics like video open rates and view times.
Clark Mingxuan Ju
Research Scientist at Snap Inc.
Bellevue, Washington, United States
Overview
Topics They Care About
Generative Recommendation
His primary research focus at Snap. He has co-authored multiple papers, including a "Practitioner's Handbook" on using Semantic IDs for generative recommendation.
Universal User Modeling
Led efforts to develop Universal User Representation (UUM) at Snapchat, which has been launched in production and improved multiple key user engagement metrics.
Graph-Based Models
Presented research at NeurIPS on explaining the effectiveness of graph-based collaborative filtering and has published on graph neural networks (GNNs).
Media Appearances
Clark has no verified media appearances
Work History
3-2024
Research Scientist at Snap Inc.
6-2023 - 9-2023
Research Intern at Snap Inc.
Education
3-2020 - 3-2024
Doctor of Philosophy - PhD from University of Notre Dame
2015 - 2019
Bachelor's degree from Case Western Reserve University
More Information
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Location : Bellevue, Washington, United States
Job Level : N/A
Designation : Research Scientist at Snap Inc.
