Paul La Plante is a Professor of Computer Science at UNLV with nine years of post-PhD experience bridging astrophysics research and data science education. He studies Cosmic Dawn and develops computational methods to help machines interpret signals from the universe’s first stars, combining rigorous cosmology research with practical data-science teaching. His work spans research appointments at Berkeley and Penn and a PhD in Physics from Carnegie Mellon, reflecting a strong foundation in theory and computation. Paul is active in science outreach and diversity initiatives, aiming to broaden participation in astronomy while training the next generation of data-savvy researchers. Based in Las Vegas, he brings an uncommon blend of hands-on astrophysical modeling and applied machine learning pedagogy.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at Loyola University Maryland
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Carnegie Mellon University
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Paul La Plante - Professor at University of Nevada-Las Vegas