Siyan Liu is a co-founder and former research scientist who brings nine years of interdisciplinary experience applying AI/ML to Earth system predictability, climate modeling, and engineering problems. He developed and deployed ViT-based foundational models and scalable ML workflows on large HPC systems at Oak Ridge National Laboratory, bridging hybrid AI modeling, uncertainty quantification, and explainable AI. Trained as a PhD chemical & petroleum engineer with a background in geology and paleontology, he translates domain physics into performant data-driven models across climate science, power systems, and computational fluid dynamics. Passionate about open science and mentoring, he combines hands-on model engineering with production deployment experience to tackle large-scale scientific challenges. An entrepreneurial builder, he’s now channeling that research-to-production expertise into a new venture focused on impactful AI applications.
9 years of coding experience
3 years of employment as a software developer
University of Kansas
Master of Science (M.Sc.) Paleontology and Stratigraphy, Master of Science (M.Sc.) Paleontology and Stratigraphy at Chang'an University
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