Edgar García Cano
About Edgar García Cano
Edgar García Cano is a Senior Data Scientist with extensive experience in data science and education. He has worked in various roles, including data scientist at Intact and as a Ph.D. student at École de technologie supérieure, focusing on machine learning applications in medical diagnostics.
Work at Intact Financial Corporation
Edgar García Cano currently serves as a Senior Data Scientist at Intact Financial Corporation, a position he has held since 2020. His role involves utilizing advanced data analysis techniques to support decision-making processes within the organization. Prior to this, he worked as a Data Scientist at Intact from 2019 to 2020, where he contributed to various data-driven projects aimed at enhancing operational efficiency.
Education and Expertise
Edgar García Cano holds a Doctor of Philosophy (Ph.D.) in Computer Science from École de technologie supérieure, where he studied from 2013 to 2019. He also earned a Master of Science (M.Sc.) in Computer Science from Universidad Nacional Autónoma de México (UNAM) between 2009 and 2012, and a Bachelor's degree in Computer Engineering from UNAM from 1999 to 2005. His academic background includes expertise in Parallel Programming and Evolutionary Computation.
Background in Academia and Teaching
Edgar García Cano has a strong academic background, having worked as a Ph.D. student at École de technologie supérieure from 2013 to 2019. He also served as a Subject Teacher at UNAM's Facultad de Ingenieria from 2008 to 2013, where he shared his knowledge and motivated students. His experience includes a focus on applied machine learning techniques, particularly in the context of healthcare.
Research Contributions
During his doctoral studies, Edgar García Cano worked on a significant Ph.D. project titled 'Shape analysis for volumetric spine reconstruction from ultrasound images.' This research applied machine learning techniques to predict changes in the shape of the spine for adolescent idiopathic scoliosis, contributing to advancements in diagnostics and treatment options.
Professional Experience at UNAM
Edgar García Cano has extensive experience at Universidad Nacional Autónoma de México, where he worked in various roles from 2004 to 2013. His positions included IT Consultant, Server Administrator, and Subject Teacher. This diverse experience provided him with a solid foundation in both technical and educational domains.