Scholar
About Me
I’m a product data scientist and researcher working at the intersection of causal inference, experimentation, and human behavior. My background spans large-scale experimentation at Amazon, startup analytics and product development, and applied research at Columbia Business School. I hold an MS in Data Science from Columbia University and currently work as a Staff Research Associate at Columbia Business School, where I focus on causal inference and experimentation in applied settings.
Selected Work
Scientific Dataset and Causal Analysis for Cloud Seeding in the U.S.
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. Published in Scientific Data.
Analyzed the causal effect of cloud seeding on precipitation using within-site difference-in-differences estimation. Pre-print coming in June 2026. GitHub
Alexa+ on Echo Show
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.
Guest Lecture: Using LLMs for Science
Guest lecture at CUNY Graduate Center for class of 15 PhD and master's students on practical methods and workflows for using large language models in scientific research: PDF
Behavioral Economics Experiment
Behavioral economics research proposal to learn about route choice strategy in navigation apps (e.g. Google Maps): PDF
