I'm a researcher in the Decision, Risk, & Operations division at Columbia Business School. I also run Product Science Consulting. My passion is to blend research methods with product thinking to understand users and build better products for them. Previously, I led engineering and product teams at Amazon for 8 years, applying human-centered, scientific approaches to improve Alexa for millions of customers.
Launched innovative audiovisual screen responses for Alexa+, the next-generation of Alexa powered by generative AI. Read more here.
Increased device interaction and customer satisfaction with Alexa's smart display devices. Read more here.
Led 10x growth in monthly active users through product experiments and marketing expansion. Read more here.
Published "Structured dataset of reported cloud seeding activities in the United States (2000–2025) using an LLM". Built pdf-to-text pipeline with OpenAI integration to extract metadata from 1,000+ scanned NOAA reports, addressing a gap in structured cloud seeding data: Nature Scientific Data
Proposed original behavioral economics experiment to test for k-level strategic route choice in navigation apps (e.g. Google Maps): PDF
Researched the U.S. trucking market to segment companies best fit for an insurance tech startup. Delivered logistic regression model to predict company fit, and an interactive Streamlit dashboard for filtering companies on 10+ key dimensions: PDF
Analyzed historical Charles River water-quality data from sensor buoy to infer safe swimming conditions and communicate health risks. GitHub