Summary
Paul Mannix is a versatile applied mathematician and mechanical engineer with 11 years’ experience developing high-performance scientific computing tools for fluid mechanics, heat transfer, PDEs and probabilistic modelling. Currently a Quantum Solutions Scientist focusing on PDEs at PsiQuantum, he blends research-grade numerical methods with practical engineering—building open-source CFD and optimisation libraries used to probe nonlinear stability, thermal stratification and MHD dynamo problems. His background spans academic postdocs at Imperial and Inria, where he led massively parallel code development and created SphereManOpt and other repositories that enable constrained optimisation of spatially localised flow patterns. Paul also brings hands-on experimental engineering experience—designing microcontroller-driven test rigs, electronics and heat-sink prototypes—so he moves comfortably between lab, code and theory. He has taught numerical methods and supervised MSc projects, and his work uniquely applies bifurcation and hysteresis insights to real-world ventilation and climate-relevant problems. Based in London, he combines deep computational expertise with a proven track record of shipping reproducible open-source research tools.
11 years of coding experience
10 years of employment as a software developer
High School, Mathematics, Physics, Chemistry, Design & Communication Graphics, Woodwork, English, Irish, French, High School, Mathematics, Physics, Chemistry, Design & Communication Graphics, Woodwork, English, Irish, French at St.Colmans College Fermoy
Bachelor’s Degree, Mechanical Engineering, 1.1, Bachelor’s Degree, Mechanical Engineering, 1.1 at Trinity College, Dublin
Doctor of Philosophy (Ph.D.), Applied Mathematics, Doctor of Philosophy (Ph.D.), Applied Mathematics at Imperial College London
English, Irish, French, Spanish