Teaching

Research

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As of 2026, I am currently working as Senior Staff MLE at Moloco’s ML Infra team, and my work areas span Data (features), Serving (online inference), Platform (tooling support), etc.

Prior to joining Moloco in Aug 2025, I worked at LinkedIn, focusing on LAN (LinkedIn Audience Network) SDK, Identity Resolution, User Privacy & Compliance (GDPR/DMA), etc. between 2022-2025 (for 3 years).

Prior to joining LinkedIn, I worked as research scientist/staff software engineer at Moloco from 2016-2022, focusing on Data Engineering & Bidding Strategies.

During AY 2019-21, I was an Assistant Professor (tenure track) in the Department of Computer Science at the University of San Francisco where I taught graduate-level courses in Algorithms and in Cloud Data Processing.

Before joining Moloco in 2016, I obtained my Ph.D./M.S. in Computer Science from Stanford University. My dissertation focused on algorithm design and game theory -- in particular, parameterized complexity and mechanism design problems that arise in social scheduling settings.

At Stanford, I was advised by Yoav Shoham, and then co-advised by Virginia Williams and Ashish Goel. I was lucky to have all of them on my thesis committee!

Prior to Stanford, I obtained my B.S. in Computer Science from Cornell University, and I was fortunate to work for a year as a student researcher (after graduation) under supervision of Bobby Kleinberg, Johannes Gehrke, and Noah Snavely.

[ CV ] [ LinkedIn ] [ Web: https://hadenlee.notion.site/ ]


You can learn more about me and my work through the pages above.

If you discover a broken link, please let me know via email, thanks!