Innovate Deep Learning Applications with Intel® Distribution of OpenVINO™ toolkit

Jeff manages the Intel team responsible for creating software developer tools and platform technologies that enable optimal visual computing experiences across Intel’s data center, client, and Internet of Things market segments. His two-decade career at Intel has spanned research, product development and business creation, with the common thread of enabling exceptional visual computing experiences for Intel customers. Jeff has secured more than 20 patents and has published multiple papers, primarily in the field of video compression and processing. He holds a bachelor’s degree in electrical engineering from Duke University and a Ph.D. in electrical and computer engineering from Carnegie Mellon University.

Henry is a senior principal engineer in the Intel Software and Services Group, Developer Products Division, and is the editor of The Parallel Universe, Intel’s quarterly magazine for software innovation. He first joined Intel in 2000 to help drive parallel computing inside and outside the company. He transferred to Intel Labs in 2010 to become the program manager for various research programs in academia, including the Universal Parallel Computing Research Centers at the University of California at Berkeley and the University of Illinois at Urbana-Champaign. Prior to joining Intel, Henry was Director of Scientific Computing at the U.S. Army Engineer Research and Development Center MSRC, a Department of Defense high-performance computing facility. Henry holds a B.S. in biochemistry from Louisiana State University, an M.S. in medical informatics from the Northwestern Feinberg School of Medicine, and a PhD in molecular genetics from the University of Alabama at Birmingham School of Medicine. He has published extensively in computational life science and high-performance computing. Henry recently rejoined Intel after spending four years working on a second PhD in information science at the University of Illinois at Urbana-Champaign, where he established an expertise in applied informatics and machine learning for problems in healthcare and chemical exposure.