Summary
Jonathan Hadida is a computational scientist at Apple in Sunnyvale with over a decade of experience applying biophysical models and machine learning to understand brain dynamics. He earned a DPhil in Computational Neuroscience from Oxford and has a strong interdisciplinary foundation spanning telecommunications, medical imaging, and Bayesian optimization. His research focuses on structure-function interactions, temporal modeling, and probabilistic decision making, translating theoretical insights into production-ready computational tools. Previously a research scientist at Oxford and an intern at Siemens Corporate Research, he bridges academic rigor with industry-scale engineering. Known for quickly adapting to new domains, he thrives in multidisciplinary teams where mathematical precision meets practical implementation. Outside core research, he maintains hands-on engagement with open-source data-science and neuroscience tooling.
10 years of coding experience
DPhil (PhD), Computational Neuroscience, DPhil (PhD), Computational Neuroscience at University of Oxford
PSI*, Engineering Science, PSI*, Engineering Science at Lycée Janson-de-Sailly
Master of Science (MSc), Telecommunications, Master of Science (MSc), Telecommunications at Telecom Bretagne
Master's degree, Medical Image Analysis, A (3.94 / 4.3), Master's degree, Medical Image Analysis, A (3.94 / 4.3) at École de Technologie Supérieure
French, English, Spanish, German