Biography
Mike serves as SVP of ML/AI Engineering for at Tubi. He has led ML roles across a wide variety of technology applications including serving as Distinguished ML Scientist and ML engineering discipline lead at Shopify, Chief Scientist at SIG, and Head of Data Science at Uber ATG. Mike also founded FakerFact.org the misinformation detection project. He began his career in academia serving as a mathematics teaching fellow for Columbia University and graduate student at the University of Pittsburgh. His early research focused on developing the epsilon-anchor methodology for resolving both an inconsistency he highlighted in the dynamics of Einstein’s general relativity theory and the convergence of “large N” Monte Carlo simulations in Statistical Mechanics’ universality models of criticality phenomena.
Education
Ph.D. Phil. of Physics, University of Pittsburgh: Foundations of General Relativity and AQSM
M.A. Mathematics, University of Pittsburgh: Differential Geometry & Operator Algebras
M.S. Physics, University of Pittsburgh: Relativity Theory & Algebraic Quantum Field Theory
B.A. Pure Mathematics, Columbia University: Combinatorial Number Theory & Probability
B.A. Philosophy, Columbia University: Mathematical Logic & Phil. of Physics