Daniel Graziano

Danny is a Senior Machine Learning Scientist who utilizes data-driven processes to re-imagine critical phases of the drug discovery life cycle. His primary interest is making complex biological data relatable and accessible to a broad audience to draw conclusions and base decisions. Danny brings 5+ years of in-vivo pharmacology experience from his time in the Novartis Neuroscience department. Throughout his work at Novartis and Massachusetts General Hospital, he developed skills in implementing DSP, time series, and statistical analysis pipelines for extracting translatable biomarker readouts from in-vivo electrophysiology data. He will be finishing his master’s degree in computer science from Boston University at the end of 2021.