Summary
Sean Mullan is a Machine Learning Lead with 11 years of experience focused on medical image segmentation and explainable AI, now leading ML efforts at NovoDynamics in Minneapolis. He holds a PhD in Biomedical/Medical Engineering and a master's in Computer Science from the University of Iowa, where he designed novel deep learning models across CT, MR, OCT, and X-ray and validated a visual explanation method to assess bias in segmentation models. Sean has a strong research-to-product track record—building assisted annotation tools, wearable computer-vision pipelines, and production-ready test automation earlier in his career. He blends academic rigor with practical engineering, collaborating closely with clinicians to translate models into clinically meaningful solutions. An unusual strength is his breadth across modalities and tooling: from deep learning research to front-end and test automation experience that speeds deployment and validation of medical AI.
11 years of coding experience
5 years of employment as a software developer
Certificate of Completion, Deep Learning Nanodegree Foundation, Certificate of Completion, Deep Learning Nanodegree Foundation at Udacity
Bachelor of Arts - BA, Computer Science, Bachelor of Arts - BA, Computer Science at Carleton College
Doctor of Philosophy - PhD, Biomedical/Medical Engineering, Doctor of Philosophy - PhD, Biomedical/Medical Engineering at University of Iowa