Data scientist with expertise in scientific computing and mathematical biology, with a strong background in data management. Professionally, he has developed skills in data science, including Python, PySpark, and medical data cleaning and handling.
He holds dual degrees in Electronics (specializing in Biomedical Engineering) and Mathematics (with a focus on Applied Mathematics). His Master’s in Mathematics, completed in the joint program between Universidad Michoacana de San Nicolás de Hidalgo (UMSNH) and Universidad Nacional Autónoma de México (UNAM), provided him with experience in key areas such as predictive model development, data processing, and early prediction of diabetic complications.
Currently, during his Ph.D. at the same institutions, he applies systems biology to the study of Fanconi anemia, deepening his research in biomathematics. He holds CITI Training (Collaborative Institutional Training Initiative) and Huawei HCIA-AI (Artificial Intelligence Foundations) certifications.
