Etienne Chollet is a versatile software engineer whose work bridges the realms of computational science, machine learning, and biomedical imaging. With a Bachelor of Science in Biochemistry and a Minor in Mathematics from Fairfield University, and further academic refinement as a Visiting Student at Yale School of Medicine, he has built a strong interdisciplinary foundation. His professional journey encompasses leadership roles in research, where he has spearheaded the development of innovative machine learning pipelinesmost notably leveraging PyTorch for labelfree segmentation and generative diffusion models in high-resolution OCT imaging at Massachusetts General Hospital.