UC Santa Barbara physics Ph.D. (top ten physics program) looking to transition to quantitative financeFour first-author publications and 18 invited talksPh.D. research applied techniques from the mathematical field of geometric analysis to study the space of extra dimensions predicted to exist by M-Theory. Also backtested and implented a variety of algorithmic trading strategies in Python and C++ throughout Ph.D., including forays into machine learning sentiment analysis and numerically solving stochastic differential equations. Developed advanced background in probability theory, stochastic calculus, statistics, and mathematical finance motivated by interest in financial markets gained from these projects.Assisted with 15 physics and mathematics courses at UCSB including quantum mechanics, advanced classical mechanics, electrodynamics, vector calculus, ordinary differential equations, and linear algebra. Was instructor of record for upper-division electrodynamics and advanced mechanics for physics majors.Github: https://github.com/aKennon1