Summary
Thomas Vandal is a scientist and CEO with 11 years of experience applying machine learning and computer vision to large-scale Earth science datasets, building foundation models for satellite observations and atmospheric inference. As co-founder and CEO of Zeus AI and PI on multiple NASA SBIR and ROSES projects, he translates cutting-edge deep learning research—on topics like 3D atmospheric structure, cloud tracking, virtual sensing, and climate downscaling—into operational tools for climate mitigation and adaptation. His background spans supercomputing and petabyte-scale workflows at NASA NEX and academic deep learning research during a PhD at Northeastern, giving him rare fluency across research, engineering, and high-performance deployment. Based in Cambridge, MA, he combines entrepreneurial drive with rigorous math training (B.S. in Mathematics) and a track record of securing government research funding, often bridging collaborations with agencies like GMAO at Goddard.
11 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (PhD) Interdisciplinary Engineering, Doctor of Philosophy (PhD) Interdisciplinary Engineering at Northeastern University
B.S. Mathematics, B.S. Mathematics at University of Maryland