Summary
Anika Staccone is a product-minded scientist and data practitioner with nearly a decade of experience translating messy, multi-source environmental data into actionable insights for carbon and ecosystem projects. She blends statistical modeling, mixed-effects approaches, machine learning, remote sensing and geospatial modeling to forecast carbon removals and quantify natural risks to reforestation at scale. Her cross-functional work at Earthshot and Pachama spans science, product, operations and software engineering, applying tools like Python, Jupyter, and distributed computing to move research into production-ready workflows. Trained as a PhD ecologist from Columbia with a background in environmental engineering, she pairs deep domain knowledge of AFOLU methodologies (Verra, Gold Standard) with hands-on field and remote-sensing experience. Notably, she has built novel indices for weather-index insurance and led large spatial analyses on datasets of over 18 million trees, showing an appetite for high-impact, large-scale problems. She is based in New York and is motivated by opportunities to work with interesting data that inform ethical, high-quality carbon solutions.
9 years of coding experience
10 years of employment as a software developer
B.A., Environmental Engineering; Earth & Planetary Science, B.A., Environmental Engineering; Earth & Planetary Science at Harvard University
Doctor of Philosophy (PhD), Ecology, Evolution, and Environmental Biology, Doctor of Philosophy (PhD), Ecology, Evolution, and Environmental Biology at Columbia University
High School, High School at Fairview High School