Summary
Dan Elton is a founder, data scientist, and machine learning engineer with 12 years of experience applying AI to medical imaging, molecular design, and physics. He holds a PhD in physics and is co-author on 50+ peer-reviewed papers, including highly cited reviews on deep learning for molecular design and influential work linking AI to quantitative CT biomarkers for cardiometabolic risk. At NIH, Mass General Brigham, and in academic posts he built production-ready deep learning pipelines (3D U-Nets, CycleGAN augmentation, DICOM routing) and ran large-scale analyses on tens of thousands of scans. He now leads startups and initiatives that bridge AI, metascience, and genomics—founding Gene Wizard and The Metascience Observatory—while publishing accessible writing on futurism and science at moreisdifferent.blog. Notably, his background in fundamental water physics informs a systems-level curiosity that drives cross-disciplinary solutions from molecular properties to clinical biomarkers.
12 years of coding experience
12 years of employment as a software developer
BS, Physics, BS, Physics at Rensselaer Polytechnic Institute
Doctor of Philosophy (PhD), Physics, Doctor of Philosophy (PhD), Physics at Stony Brook University