Megan Shabram is a founder and board-level systems engineer with a PhD in Astronomy and over a decade of experience applying quantitative, data-driven approaches to deep tech, mission-aligned innovation, and advanced manufacturing. She has bridged academia, NASA postdoctoral research, YC-backed agtech, and large telescope systems engineering—designing Bayesian and hierarchical models for exoplanet science, scaling satellite-based crop-forecasting ML systems, and inventing the Integrated Model Uncertainty Factor for telescope design. Megan combines technical rigor in statistical modeling, cloud HPC, and generative AI integration with a rare focus on psychological safety and collective ideation to unlock higher-performing interdisciplinary teams. She excels at translating complex simulations and telemetry into cost- and performance-optimized engineering decisions and has a track record of leading international, cross-institutional teams to operationalize novel AI/ML workflows. Based in Albany, CA, she advises at the board level on risk mitigation and innovation governance while building WOVEN to institutionalize human-centered, anticipatory science practices.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (PhD) Astronomy and Astrophysics, Doctor of Philosophy (PhD) Astronomy and Astrophysics at Penn State University
University of California Santa Cruz
Master of Science (M.S.) Computational Astrophysics, Master of Science (M.S.) Computational Astrophysics at University of Florida
Contributions:50 commits, 41 pushes, 1 branch in 4 months
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Megan Shabram - Founder at WOVEN - Rifft Woven Exchange