Scholar
About Me
I'm a research associate in the Decision, Risk, & Operations division at Columbia Business School. I also run Product Science Consulting. I work at the intersection of research methods and product thinking, using experimentation and causal inference to help teams build products that work for the people who use them. Previously, I spent eight years leading engineering and product teams at Amazon, working on Alexa.
Product
Alexa+
Launched innovative audiovisual screen responses for Alexa+, the next-generation of Alexa powered by generative AI. Read more here.
Echo Show
Increased device interaction and customer satisfaction with Alexa's smart display devices. Read more here.
AlexaAnswers.com
Led 10x growth in monthly active users through product experiments and marketing expansion. Read more here.
Research
Scientific Data Creation & Validation using LLMs
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: Scientific Data (Nature Portfolio)
Causal Analysis of Cloud Seeding with Difference-in-Differences
Estimated the causal effect of cloud seeding on precipitation using a within-site difference-in-differences design across U.S. seeding sites (2000–2025). Combined the structured NOAA cloud seeding dataset with PRISM and ERA5 precipitation data to compare seeded vs. unseeded months within target and control areas, with results delivered through an interactive Streamlit app: Streamlit App | GitHub
Behavioral Economics Experiment
Experiment design test for level-k strategic route choices in navigation apps (e.g. Google Maps): PDF
Education
