About Me
Researcher and data scientist with experience spanning applied causal inference at Columbia, large-scale user behavior experimentation at Amazon, and startup product analytics.
Research
LLM-Based Cloud Seeding Dataset and Causal Analysis
First author of "Structured dataset of reported cloud seeding activities in the United States (2000–2025) using an LLM", published in Scientific Data. Built PDF extraction pipeline with OpenAI integration to process 800+ scanned NOAA cloud seeding reports into a structured dataset, helping address the gap in cloud seeding data. Conducted within-site difference-in-differences analysis to estimate the causal effect of cloud seeding on precipitation: Streamlit dashboard.
Columbia Business School Research
Applied behavioral and causal research with the Decision, Risk, and Operations division. Ran an online experiment in Prolific and oTree measuring how software developers make AI-code adoption decisions in the IDE, and estimated how AI is changing experimentation practices across 2,000+ firms using difference-in-differences. Applied LLM classification across a meta-analysis of 500+ behavioral RCTs to surface issues of treatment compliance and capacity constraints in RCT design and analysis. Built a data pipeline combining 500GB of time-series data to analyze EV charging station utilization, pricing, and charging behavior nationwide.
Product Improvements
Alexa+ Smart Display Experiences
Improved device engagement and customer satisfaction with Alexa's smart display devices. Launched and measurably improved the quality of the new multimodal screen experiences for Alexa+.
AlexaAnswers.com
Led 8x growth in monthly active users through product experiments and marketing expansion. Read more here.
Product Science, LLC
Founded Product Science Consulting to help early-stage startups get from insights through measurable impact. Partnered with the founder of Mayah Design to improve product strategy, product development, and setup analytics infrastructure end to end. Built DesignMyExperiment.com for experiment design and curated libraries of real product A/B tests and methodology reviews.
Education
M.S. Data Science, Columbia University
- Courses in: Design & Analysis of Online Experiments, Causal Inference, Behavioral Economics
- Data Science Institute Scholar
- Columbia Build Lab Intern
- Guest Lecture @ CUNY Graduate Center: Using LLMs for Science (PDF)
- Behavioral Economics research proposal: Strategic Route Choice in Navigation Apps: Testing for Level-K Thinking (PDF)
