Summary
Boyang Wei is a PhD candidate and research assistant at Northwestern University's HABits Lab specializing in passive and wireless sensing, human activity recognition, and behavioral health change using ML/DL. With nine years of experience across academia, healthcare, and consulting, he brings end-to-end big data expertise (Hadoop, Pig, Hive) and strong statistical and data analysis skills to translate noisy sensor streams into actionable insights. He has supported medical research as a data analyst at Georgetown, taught data visualization, and presented client-facing BI solutions, demonstrating an ability to communicate complex technical results to non-technical stakeholders. Comfortable in Python, R, and Java and familiar with web technologies, he blends rigorous experimental methods with practical deployment experience in multimodal sensing systems. An underappreciated strength is his cross-disciplinary background from biochemistry to analytics, which helps him frame sensing problems with both biological and computational perspectives.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Biochemistry, 3.5, Bachelor of Science - BS, Biochemistry, 3.5 at University of Washington
Master's degree, Analytics, 3.8, Master's degree, Analytics, 3.8 at Georgetown University