Charles Poli

Staff Data Scientist at Chainalysis

About

I'm a Staff Data Scientist at Chainalysis, where I apply machine learning to blockchain analytics. I started out as a theoretical physicist and still approach data problems the way I approached physics: build a simple model, test it against reality, and make sure the answer holds up.

My PhD and postdoctoral research in France, Italy, Mexico and the UK covered wave chaos, random matrix theory and topological states. I worked closely with experimental groups, and that collaboration produced a generalization of the Wigner surmise to open chaotic systems and selective enhancement of topological interface states in a microwave resonator chain.

Since moving to industry, I've built AI-driven trading systems at Cambridge Quantum Computing and fraud-detection tooling at PayPal, where I open-sourced Iguanas and Gators. In my own time I write open-source Python toolkits for mathematics, physics, chemistry and finance that teach each field through the history of its breakthroughs, with runnable examples.

Open source

Scientific toolkits

PayPal open source

Selected papers

  1. Selective enhancement of topologically induced interface states in a dielectric resonator chainC. Poli, M. Bellec, U. Kuhl, F. Mortessagne, H. SchomerusNature Communications 6, 6710 (2015)
  2. Nearest level spacing statistics in open chaotic systems: Generalization of the Wigner surmiseC. Poli, G. A. Luna-Acosta, H.-J. StöckmannPhysical Review Letters 108, 174101 (2012)
  3. Statistics of resonance states in open chaotic systems: A perturbative approachC. Poli, D. V. Savin, O. Legrand, F. MortessagnePhysical Review E 80, 046203 (2009)

Full list on Google Scholar.

PhD thesis

Wave chaos in open systems: a non-Hermitian random matrix theory approachUniversité de Nice-Sophia Antipolis, 2009. Advisors: F. Mortessagne and O. Legrand. Written in French.

Experience