2020 Foresight Fellow in Artificial Intelligence Daniel Elton is a Staff Scientist at the National Institutes of Health Clinical Center working on applications of artificial intelligence to medical imaging. Much of his recent work is on improving automated measurements in CT and MRI scans using deep learning. He also works on theoretical issues surrounding robustness, explainability, and transparency. While his work mainly touches on issues relevant to near-term AI safety, he maintains an interest in long term AI safety research and existential risk reduction more generally. Originally from a small town in upstate New York, he received a bachelor’s degree physics from Rensselaer Polytechnic Institute in 2010 and earned a Ph.D. in physics from Stony Brook University in 2016. During postdoctoral work at the University of Maryland he worked on deep learning for molecular property prediction, generative AI models for molecular design, and applications of natural language processing to the chemical domain. links: http://www.moreisdifferent.com/ https://twitter.com/moreisdifferent
