Carlos Vélez is a research associate and quantitative scientist with 12 years’ experience applying mathematics, physics and scientific computing to complex biological and ecological systems. Trained as a theoretical physicist (PhD, Manchester), he has led interdisciplinary projects from calcium cycling in cardiac cells to evolutionary dynamics of host-pathogen systems and stochastic population models. At Cambridge and EMBL-EBI he has bridged theory and practice, developing computational models, data-driven analyses and interactive 3D visualizations for large microscopy datasets. Recently he has expanded into data science, statistical learning, robotics and physical computing, turning abstract models into automated, reproducible pipelines and devices. Colleagues rely on him for rigorous quantitative insight that connects mechanistic theory with large-scale data. He is based in Cambridge and enjoys tackling problems that sit at the interface of physics, biology and computation.
12 years of coding experience
6 years of employment as a software developer
Ph.D. Theoretical Physics, Ph.D. Theoretical Physics at The University of Manchester
Contributions:20 commits, 1 PR, 72 pushes in 2 years 7 months
3d-graphicsmathematicsphysics
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