Summary
Billy Carson is a postdoctoral fellow and biomedical engineer with nine years of experience applying interpretable machine learning, deep learning, and computer vision to neurodevelopmental disorders like autism and ADHD. He developed open-source tools (e.g., AugmentedPCA) and novel adversarial and NMF-based latent factor models in PyTorch to discover treatment-responsive neural connectomes and multimodal biomarkers from neural activity, 3D imaging, and synchronized eye-tracking. A published first-author researcher and experienced instructor, he has delivered lectures and mentored teams through Duke’s Data+ program, translating complex ML methods into teachable, usable workflows. Billy’s background in neural engineering—electrophysiology, neurostimulation, and computational neuroscience—lets him bridge wet-lab insight with principled ML, and he has a track record of extracting high-accuracy results from limited biomedical datasets using transfer learning and interpretable attention mechanisms.
9 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Biomedical Engineering, Doctor of Philosophy - PhD, Biomedical Engineering at Duke University
Bachelor of Science (B.S.), Biomedical Engineering, Bachelor of Science (B.S.), Biomedical Engineering at The Ohio State University
English