"The thing I always try to make clear to my students, is to see me as a resource, as someone they can always approach. It’s a difficult thing to manage work, life, and school…I want them to see me as someone they can come to."
Gabriel Musso is the recent recipient of our Outstanding New Instructor Award. Learners in his course, Statistics for Data Science, nominated Gabriel for his ability to tailor challenging content, and meet the needs of diverse learning styles. His talent for teaching innovative, adaptive, and current material, while being highly accessible to his learners, earned him this exciting honour.
As Chief Scientific Officer at BioSymetrics Inc., Gabriel is focused on growing the company’s AI platform and applying it in the areas of genomics, drug discovery, imaging, and clinical diagnosis. Prior to joining BioSymetrics, Gabriel was a Research Fellow at Harvard Medical School where his work focused on using machine learning frameworks to predict gene and small molecule function, and identification of disease-causal genes using large-scale genomic datasets. Gabriel received his PhD in Molecular Genetics and Computational Biology from the University of Toronto (U of T). He also received his Master of Science and undergraduate degrees from U of T.
Gabriel is passionate about teaching data science at SCS. In his course, learners explore probability and descriptive statistics, and cover data analysis from both a classical and contemporary viewpoint while learning how to extract insight from datasets. The course content also covers part of the body of knowledge of INFORMS’ Certified Analytics Professional (CAP) certification.