Education
PhD in Mathematics, University of Michigan
Subjects
Number Theory, Homotopy Theory, Representation Theory, Mathematics for AI, Machine Learning
Achievements
BA in Mathematics with honors from the University of Chicago; teaching assistant for more than six courses, from linear algebra to algebraic geometry, during three years of undergraduate study; taught calculus multiple times as a graduate student instructor
About
Alex is a PhD student in mathematics at the University of Michigan, interested in the intersection of number theory, homotopy theory, and representation theory. He has recently been exploring how algebraic and topological methods can be incorporated into deep learning, and more broadly the expanding field of mathematics for AI.
Discipline
Physical Sciences
Academic Achievements
BA in mathematics with honors at the University of Chicago.
Teaching & Mentoring Experience
TA of more than six courses, spanning from linear algebra to algebraic geometry, during three years of undergraduate. Taught calculus multiple times as a graduate student instructor. Mentored DRP students on topics of Galois theory, differential geometry, and algebraic topology.
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