Michael Psenka

Michael Psenka is a dedicated researcher and educator with a strong background in mathematics and computer science, holding a Bachelor of Arts from Princeton University and currently pursuing a PhD in Electrical Engineering and Computer Science at the University of California, Berkeley. Experience includes serving as Co-Head Instructor for CS70 at Berkeley, achieving first place at HackPrinceton with an A.I. project, and working as a Software Engineer at Moovila, where contributions included developing machine learning algorithms and improving search engine efficiencies. In research roles at Stanford University's Guibas Lab and Princeton University, Michael focused on advanced mathematical methods and applications in high-dimensional spaces. Currently, Michael is a Research Scientist Intern at Meta, collaborating with Yann LeCun on enhancing reasoning and planning capabilities in modern world models.