Summary
Hanna Descher is a Senior Data Scientist with 9 years of experience blending cognitive neuroscience and machine learning to solve open-ended problems around user behavior and engagement. Currently at Apple after leading personalization and LiveOps analytics efforts at Microsoft and PlayFab, she designs experiments, builds predictive models, and translates messy telemetry into customer-facing metrics and actionable insights. Her background in fMRI and psychophysics gives her a unique edge in modeling human decision-making and satisficing strategies, which she has applied to autonomous systems and game analytics alike. She is proficient across Python, PySpark, SQL, and dashboarding tools, and has delivered end-to-end solutions including AWS-hosted analytic apps. Known for turning quantitative results into intuitive visual stories, she also thrives in cross-functional settings, defining data requirements and communicating findings to leadership. Based in Seattle, she combines rigorous research training with product-focused execution to drive measurable improvements in user engagement.
9 years of coding experience
13 years of employment as a software developer
Master’s Degree, Brain and Cognitive Sciences, Master’s Degree, Brain and Cognitive Sciences at Seoul National University
Doctor of Philosophy (Ph.D.), Cognitive Neuroscience, Psychology & Neuroscience, Doctor of Philosophy (Ph.D.), Cognitive Neuroscience, Psychology & Neuroscience at Duke University
Bachelor’s Degree, Interdisciplinary Engineering with Bioengineering Concentration, Bachelor’s Degree, Interdisciplinary Engineering with Bioengineering Concentration at The Cooper Union for the Advancement of Science and Art
English, Korean