Hortense Gimonet-Lee is a data scientist who spent six years thinking about improving clinical care through software at 91Life, a health tech startup specializing in remote monitoring of cardiac implantable electronic devices. She joined as a data scientist focused on data migration and onboarding, working closely with clinical staff to get the platform running at hospitals. She then moved into leading R&D, collaborating with physicians to build labeling pipelines and machine learning models for clinical research and product development, guided by the principle that carefully curated datasets and intentional labeling produce better models for arrhythmia detection. She holds a BA in Mathematics from Cornell University and an MS in Machine Learning from Cornell Tech. She recently founded Amicus, a litigation productivity platform where she aims to bring her expertise in human-centered delivery of traceable AI models.