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Cuauhtémoc Salazar

Physics PhD - Software Engineer at Unipart Digital

Cuauhtémoc Salazar is a data scientist and software developer with a wealth of experience in studying complex processes using a variety of methods.

He has expertise in creating effective 'small-data' models on personal computers and large-scale 'big-data' methodologies on supercomputers like ARCHER in the UK and MPCDF in Germany.

Cuauhtémoc holds certifications in Data Science and Machine Learning, showcasing his commitment to professional growth.

His educational background includes a Bachelor's degree in Physics from Universidad de Guadalajara, a Doctor of Philosophy (Ph.D.) in Physics from the University of Toronto, and a Master of Science in Optical Sciences from Centro de Investigaciones en Óptica in Mexico.

Cuauhtémoc Salazar has worked as a Software Engineer in the Data Science Unit at Unipart Digital and has previously served as a Research Data Scientist focusing on text-data processing at The Novel Materials Discovery (NOMAD) Laboratory, a European Centre of Excellence.

He has also worked as a Computational-Physics Researcher (Postdoc) at the University of Warwick, expanding his expertise in the intersection of physics and computer science.

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Location

Cardiff, Wales, United Kingdom