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Daniel Wegman, PhD has a diverse work experience in various roles related to data science and research. In their most recent position at Wurl, they served as a Data Science Manager and previously worked as a Data Scientist. Prior to this, Daniel worked as a Machine Learning Specialist at Predictvia and as a Data Scientist at Seguritech. Daniel also has a strong academic background, having served as a Postdoctoral Researcher and Lecturer in Physics at the University of Liège and as a Postdoctoral Researcher at Instituto Superior Técnico. Daniel has also worked as a Teaching Assistant and Lecturer in Physics at the University of California, Riverside, and as a Lecturer at Universidad Iberoamericana, Ciudad de México.

Daniel Wegman, PhD, has an extensive education history in the field of physics. Daniel obtained their Bachelor's degree in Engineering Physics from Universidad Iberoamericana, Ciudad de México, where they studied from 2000 to 2005. Daniel then pursued their Master of Science degree in Physics at Centro de Investigación y de Estudios Avanzados del IPN from 2005 to 2007. Building on their previous achievements, they completed their Doctor of Philosophy (PhD) in Physics at the University of California, Riverside, from 2008 to 2013. In addition to their formal education, Daniel Wegman has also obtained various certifications from Udemy, including "Introduction to Machine Learning for Data Science," "Python for Data Science and Machine Learning Bootcamp," "R Programming A-Z™: R For Data Science With Real Exercises!," "Text Mining and Natural Language Processing in R," "The Data Science Course 2018: Complete Data Science Bootcamp," and "The Ultimate MySQL Bootcamp: Go from SQL Beginner to Expert."