Daphne Schlesinger

Daphne Schlesinger is a Machine Learning Scientist and Medical Engineer with a diverse background in machine learning and biomedical engineering. They received dual Bachelor of Science degrees in Physics and Biomedical/Medical Engineering from The Johns Hopkins University and are currently pursuing a PhD in Biomedical/Medical Engineering at the Massachusetts Institute of Technology. Their professional experience includes roles at notable institutions such as the Johns Hopkins University Applied Physics Laboratory, where they performed electromagnetic simulations, and Tempus Labs, Inc., where they applied Vision Transformers to predict cardiac arrhythmias. Additionally, they have contributed to research focused on machine learning applications in sepsis and chronic heart failure management.