Principal Product Manager
Designing clarity in complex content systems.
I build user-facing experiences powered by personalization and recommendation systems, where editorial judgment meets algorithmic intelligence.
I'm a Principal Product Manager working on personalization and recommendation systems, where user experience is shaped by both human judgment and machine intelligence.
My background in applied anthropology informs how I approach product. I study how people navigate complex information environments, and what it actually means to design for control and not just the illusion of it.
Across my work, I focus on making systems legible, building trust through transparency, and giving users meaningful influence over what they see.
Selected Writings
Case studies, essays, and published work on personalization, content systems, and product judgment.
Case Study
Most recommendation systems optimize silently in the background. Story Finder makes that process visible and interactive. It introduces guided pathways such as "Dive Deeper" and "Along the Lines," giving readers a way to influence what they see next. The result was users discovering additional content at higher rates (story-to-content CTR rose +4% compared to a control group) and a shift from passive consumption toward intentional exploration.
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Published
Personalization in news is often framed as a ranking problem. This paper reframes it as a product design problem. It explores how editorial judgment, algorithmic recommendations, and user control can work together to shape discovery.
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Essay
Product, data science, and editorial teams work together slowly when their shared language is imprecise. To achieve alignment and ship faster, I created this glossary to define the core concepts behind personalization systems — from ranking and retrieval to user intent.
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Essay
Personalization works best when it becomes invisible, which makes it harder to understand how it actually works. This piece takes an anthropological lens to familiar Spotify experiences, breaking down how everyday listening behaviors map to specific recommendation strategies and product decisions.
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