Robert G. C. Smith

I am a theoretical physicist by training, with expertise at the interface of fundamental physics, foundational mathematics, and computation. My PhD research explored deep connections between string theory, perturbative quantum field theory, analytic number theory, and algebraic geometry, among a number of other areas across mathematics and physics. Alongside this, I developed a strong interest in machine learning and in building models to uncover and formalise hidden structure in complex systems, including links between physics and mathematics.

Drawing on this background, I have turned my attention to quantitative finance. I am especially interested in opportunities where data-driven research, rigorous mathematics, modelling, and computation are applied to complex practical problems. In particular, I am drawn to the combination of machine learning, market structure research, statistical modelling, and systematic strategy development as a means of identifying and generating alpha. What excites me most about quantitative research and trading is that, much like frontier theoretical physics, it demands conceptual depth, mathematical creativity, technical precision, and the ability to extract structure from highly complex systems.

My blogs

• The Stochastic Ledger — A blog in quantitative finance, covering topics across market structure theory, mathematics and statistical modelling, machine learning, and algorithmic design.
• TracingCurves — A research blog in mathematical physics, string/M-theory, and a few choice diversions.
• Dialogues at Still Points — Reflections across literature, history, and philosophy.