Summary
Peter Mills is an independent researcher based in Ottawa with over a decade of experience applying numerical computation, chaos theory, inverse methods and machine learning to nonlinear geophysical problems. His career spans academia and government labs, from developing ice-retrieval algorithms and radiative-transfer simulations to retrieving greenhouse-gas fluxes from satellite data and maintaining operational scientific codes. He blends theory, numerics and experimental data to study chaotic mixing and ocean/atmospheric dynamics, often tackling practical inverse problems where observations are sparse or noisy. Comfortable moving between code, models and field datasets, he brings a rare combination of operational-program experience and curiosity-driven pure science.
10 years of coding experience
11 years of employment as a software developer
MSc., Environmental Physics, MSc., Environmental Physics at University of Bremen
BSc., Physics, BSc., Physics at University of Waterloo
German