Junrui Di
Summary
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SeniorJunrui 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.
11 years of coding experience
Github Skills (7)
fragmentation8
feature-extraction5
css4
statistics3
statistical-learning3
data-science2
machine-learning2
Programming languages (3)
Github contributions (5)
junruidi/actcoolshiny
Dec 2016 - Aug 2018
Contributions:8 pushes, 1 branch in 1 year 8 months
junruidi/actigraphy
Feb 2018 - Feb 2018
Feature extraction from minute level actigraphy data
Contributions:2 commits, 79 pushes, 1 branch in 1 day
feature-extraction
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