Ehecatl Del Rio Chanona is an Associate Professor and director of the Optimization and Machine Learning for Process Systems Engineering lab at Imperial College London, with eight years of academic and research experience translating advanced optimization and ML methods into chemical engineering practice. He co-directs the Centre for Doctoral Training rEaCt and has rapidly progressed from research fellow to faculty leadership, reflecting a strong track record in mentoring and program building. A Cambridge PhD awarded the Danckwerts-Pergamon Prize and a distinguished undergraduate from UNAM underpin his work at the intersection of rigorous theory and practical process systems design. He also co-founded RIIAA, demonstrating a penchant for organizing collaborative initiatives beyond typical academic duties. Colleagues know him for combining mathematical depth (Stanford honors in mathematics) with a hands-on approach to deploying optimisation-driven solutions in real-world chemical processes.
8 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Chemical Engineering, Top of the year (Danckwerts-Pergamon Prize), Doctor of Philosophy - PhD, Chemical Engineering, Top of the year (Danckwerts-Pergamon Prize) at University of Cambridge
Universidad Nacional Autónoma de México (UNAM)
International Honors Program, Mathematics, International Honors Program, Mathematics at Stanford University
Contributions:2 commits, 1 push, 3 branches in 1 day
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