Director, Data Science & Digital Health, Neuroscience
Washington DC-Baltimore Area United States
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Summary
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Senior
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Top School
Junrui Di is a director-level data scientist specializing in the design and statistical analysis of high-dimensional, high-frequency wearable and mobile sensor data for neuroscience and digital health. With a PhD in Biostatistics and a decade of experience across industry and academia, he builds novel feature engineering, dimension-reduction, and multi-view integration methods that turn noisy time-series into validated, patient-centric endpoints used in clinical trials and regulatory submissions. He has led end-to-end pipelines and automated analytics at companies like Dexcom and Pfizer, accelerating study timelines and translating device data into real-world evidence for diverse populations. Known for bridging rigorous methodology with operational execution, he also co-founded internal AI networks to scale best practices and foster cross-team collaboration. Based in the Washington DC–Baltimore area, he is committed to standardizing digital health pipelines so wearable-derived signals can reliably inform public health and clinical decision-making.
10 years of coding experience
12 years of employment as a software developer
Bachelor of Arts (B.A.) Applied Mathematics, Bachelor of Arts (B.A.) Applied Mathematics at University of California, Berkeley
Master of Science (MS) Biostatistics, Master of Science (MS) Biostatistics at Georgetown University
Doctor of Philosophy (PhD) Biostatistics, Doctor of Philosophy (PhD) Biostatistics at Johns Hopkins Bloomberg School of Public Health
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Junrui Di - Director, Data Science & Digital Health, Neuroscience