Daniel Perez Vicencio is a researcher and educator specializing in data science and cardiovascular medicine. He holds a B.Sc. in Cellular and Molecular Biology from Harding University in the U.S. and an M.Sc. in Biotechnology and Bioinformatics from the University of Aberdeen, Scotland. Currently, Daniel has completed a second M.Sc. and is pursuing a Ph.D. in Cardiovascular Science at the University of Edinburgh, Scotland. His doctoral research focuses on applying machine learning to improve triage strategies for patients presenting with acute chest pain. In addition to his research, Daniel has teaching experience at institutions including the University of South China. Fluent in both Spanish and English, he is passionate about leveraging data-driven approaches to advance medical science and improve healthcare outcomes.