Ted is currently the Director of the Brain-Inspired Computing Lab at Intel. The lab’s mission is to make Intel a leader in brain-inspired artificial intelligence by working closely with leaders in neuroscience to develop new algorithms and systems. Ted is also co-principal investigator of a 5-year program on real-time brain decoding with the Princeton Neuroscience Institute and an Adjunct Assistant Professor in the Department of Electrical and Computer Engineering at Portland State University, where he teaches deep learning theory and practice. Previously, he founded an Intel venture focused on graph analytics for data science. In 2014, he won Intel’s highest award for this effort. In 2015, he was appointed to the Science & Technology Advisory Committee of the US Department of Homeland Security and served a 3-year term.
Ted received his doctorate in electrical engineering from Columbia University, master’s degrees from the University of Wisconsin-Madison and the University of Illinois, and bachelor’s degree from the University of Illinois. His research focuses on cognitive modeling, neuroscience-inspired artificial intelligence, medical imaging and neuroimaging analysis, graphical machine learning, and new computational technologies for these workloads. He has published over 50 peer-reviewed research papers and holds 14 patents. He applies his work to challenges in neuroscience, medicine, oceanography, and other important areas.