Summary
Soujanya Chatterjee is a Senior Applied Scientist with a Ph.D. in Computer Science and 11 years of experience building end-to-end AI/ML systems for digital health, behavior sensing, and risk prediction. She has led research-to-product efforts at Amazon Halo, Kindle personalization, Microsoft Copilot Notebooks, and Johnson & Johnson, translating noisy multi-modal wearable data into robust movement, sleep, pulmonary, and smoking-detection models. Her work spans large-scale sensor pipelines, deep learning, time-series models, and cloud deployment (AWS, Azure), and has been validated on datasets exceeding 50,000 hours and adopted in multi-site smoking cessation studies. With six peer-reviewed publications, a book chapter and multiple patents, she consistently delivers science that powers real-time, sensor-triggered interventions. Notably, her spatio-behavioro-temporal “opportunity” context modeling links subtle contextual cues to imminent impulsive behaviors, enabling just-in-time support. Based in Greater Seattle, she combines rigorous academic training with product-driven impact across healthcare and consumer applications.
11 years of coding experience
12 years of employment as a software developer
Bachelor of Engineering (BE), Bachelor of Engineering (BE) at IIEST, Shibpur
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at University of Memphis
Secondary, Science. History. Maths. Literature, Secondary, Science. History. Maths. Literature at St. Xavier's School Durgapur
Higher Secondary, Science. Math., Higher Secondary, Science. Math. at Uttarpara Government High School
English