I’m an applied statistician and machine learning engineer with 14 years of interdisciplinary experience applying advanced quantitative methods to solve real-world “wicked” problems, including 15 years of experience working on climate change and more than a decade in the field of illicit finance. I specialize in building rigorous, end-to-end AI systems for high-impact domains including climate finance, ESG, and financial crime. With a PhD in environmental science and a master’s in statistics, I bring both technical rigor and domain fluency to complex, cross-cutting challenges, drawing on a background in computational social science, political economy, and quantitative modeling. My work has contributed to real-world policy at the United Nations and produced research that uncovers hidden financial flows and supports data-driven sustainability.

I’m a full-stack developer: I like building things that work and shipping them.




Launching

Plan4Planet at the AAAI Fall Symposium 2026

Planning for a Better Planet

AAAI Fall Symposium, November 5 to 7, 2026, Arlington, Virginia

With colleagues across AI planning and climate science, I am launching Plan4Planet: a new community that brings AI planning and reasoning researchers together with climate scientists and policy experts to work on the decisions a changing climate demands. We open with the 2026 AAAI Fall Symposium in Arlington.

Visit plan4planet.org

Featured course

Intro to Quantitative Reasoning

10 self-paced modules

Free course! Build the skills to assess evidence, question news headlines, and unpack the logic behind claims in public policy, economics, and the social sciences. No prior experience with statistics required.

Start Learning

Pinned posts

5-minute Git tutorial

less than 1 minute read

I bet I can teach you GitHub in 5 minutes and a few slides