Experimentation at Scale Without Fooling Yourself
Designing A/B systems that account for interference, peeking, and the messy reality of product metrics.
San Francisco
Jul 21, 2025 · 1:00 PM
All speakers
Speaker
Hana Kim
Data Scientist · Pelagic AI
ExperimentationCausal ML
Hana designs large-scale experimentation and causal measurement systems at Pelagic AI, helping product teams trust the numbers behind their decisions.
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Geo experiments, switchbacks, and synthetic controls when a clean A/B test just isn't possible.
New York
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Las Vegas
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