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