Summary
Wesley Cota is an Assistant Professor of Physics and computational epidemiologist with a decade of experience modeling epidemic and information spread on complex networks. He combines theoretical insight with hands-on high-performance computing to simulate large, heterogeneous systems and to incorporate human mobility and contact heterogeneity into disease forecasts for influenza, COVID-19 and dengue. His award-winning PhD research explored echo chambers, modular network complexity and efficient simulation methods, and he maintains and manages an HPC cluster that supported much of this work. In 2020 he created a widely used public COVID-19 dataset adopted by Johns Hopkins and Our World in Data, showing his work’s impact beyond academia. Comfortable across Fortran/C, Python data stacks, GIS and data mining, he blends deep modeling skills with practical data engineering to inform public health and media organizations.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Universidade Federal de Viçosa
Guest PhD Candidate, Physics, PhD, Guest PhD Candidate, Physics, PhD at Universidad de Zaragoza
Portuguese, English, Spanish