Summary
J R is a data scientist and research leader with nearly a decade of applied experience and over ten years in academic research, holding a PhD and postdoctoral work at Radboud University and UC Berkeley. He combines deep expertise in scientific coding, large-scale data pipelines, and complex relational databases with a focus on environmental and human sustainability, resilience systems, and energy efficiency. He has led interdisciplinary teams in startup-like research environments, worked closely with national data science centers, and built scalable analysis and visualization tools for big compute clusters. A seasoned communicator and mentor, he has supervised students, taught courses, and co-authored dozens of scientific publications while presenting at conferences and interviews. Outside work he blends AI enthusiasm with environmentalism and gardening, reflecting a pragmatic, systems-oriented approach to data-driven solutions.
9 years of coding experience
9 years of employment as a software developer
Bachelor of Science - BS, Bachelor of Science - BS at The University of Texas at El Paso
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Radboud University
Master of Science - MS, Master of Science - MS at San Diego State University
Spanish, English, Dutch