PhD Research Intern

Published in Microsoft Research, 2022

Conducted theoretical and computational research at Microsoft Research, advancing mathematical foundations of non-local field theory and its applications to optimization.

Responsibilities

  • Collaborated with Jaron Lanier (Chief Unifying Scientist) on developing non-local field theory from matrix models
  • Bridged discrete and continuous structures through new techniques applicable to optimization problems
  • Applied stochastic calculus and operator theory to establish quantitative relationships between local and non-local dynamics
  • Designed and executed numerical simulations to validate predictions about high-dimensional operators
  • Provided mathematical formalism and technical implementation acknowledged as significant contributions to the project

Technologies & Skills

  • Stochastic calculus, operator theory, and matrix models
  • Theoretical physics and applied mathematics
  • Numerical simulations and computational modeling
  • Python, MATLAB, and high-dimensional analysis