Summary
Siobhan Cronin is a technical advisor and engineering leader with a decade of experience building data-driven products and teams at the intersection of research, engineering, and product. She has led data and platform organizations across regulated healthcare, maritime science, fintech for essential workers, and high-growth consumer products, translating complex research into production-grade systems. Trained in cognitive science and published in peer-reviewed journals, she brings a researcher's rigor to systems design and a people-first approach to scaling autonomous engineering teams. She remains active in Slow Research Lab exploring collective intelligence and complex systems, and serves on the board of a San Francisco independent school. Her background in dynamical systems and hands-on data engineering—combined with a taste for basketball, fashion, maths, and doughnuts—makes her equally comfortable discussing system architectures or emergent behavior in teams.
9 years of coding experience
16 years of employment as a software developer
BA, Psychology, BA, Psychology at Boston College
Linear Algebra for Machine Learning, Linear Algebra for Machine Learning at UC San Diego Extended Studies
Algorithms and Data Structures, Algorithms and Data Structures at Bradfield School of Computer Science
Certificate, Dynamical Systems and Chaos Theory, Certificate, Dynamical Systems and Chaos Theory at Santa Fe Institute
Course, Systems Engineering, Course, Systems Engineering at University of Colorado Boulder
English, Spanish, Polish, French