Johanna Goldman is a data-driven Technical Program Manager based in Seattle with nine years of experience bridging AI-driven research and climate science. With a PhD in Geosciences and hands-on research roles at Princeton and the University of Washington, she translates complex scientific problems into actionable programs, guiding interdisciplinary teams through large data analyses and reproducible code in R and Python. At NYU she leads technical programs that intersect cutting-edge AI and environmental research, bringing a proven track record of mentoring, grant review, and collaborative leadership. Bilingual in English and French and seasoned in international fieldwork—including Antarctic deployment—she combines rigorous scientific training with practical product and project delivery skills. Notably, her background spans both lab-scale method automation and program-level strategy, enabling her to move ideas from experimental design to operational impact.
9 years of coding experience
9 years of employment as a software developer
Master’s Degree, Chemistry, Master’s Degree, Chemistry at Ecole supérieure de Physique et de Chimie industrielles de la Ville de Paris
Bachelor’s Degree, Mathematics - Physics - Chemistry, Bachelor’s Degree, Mathematics - Physics - Chemistry at Classe preparatoire Louis-le-Grand
Doctor of Philosophy (Ph.D.), Geological and Earth Sciences/Geosciences, Doctor of Philosophy (Ph.D.), Geological and Earth Sciences/Geosciences at Princeton University
Contributions:39 reviews, 115 PRs, 542 pushes in 4 years
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