Robert E. Kass
ROBERT E. KASS is the Maurice Falk Professor of Statistics and Computational Neuroscience at the Carnegie Mellon University. Dr. Kass has been on the faculty of the Department of Statistics at Carnegie Mellon since 1981; he joined the Center for the Neural Basis of Cognition (CNBC, run jointly by CMU and the University of Pittsburgh) in 1997, and the Machine Learning Department (in the School of Computer Science) in 2007. He served as department head of Statistics from 1995 to 2004 and was appointed Interim co-director of the CNBC (CMU-side director) in 2015. His early work formed the basis for his book Geometrical Foundations of Asymptotic Inference, co-authored with Paul Vos. His subsequent research has been in Bayesian inference and, beginning in 2000, in the application of statistics to neuroscience. Dr. Kass is known not only for his methodological contributions, but also for several major review articles, including one with Adrian Raftery on Bayes factors (Journal of American Statistical Association, 1995) one with Larry Wasserman on prior distributions (Journal of American Statistical Association, 1996), and a pair with Emery Brown on statistics in neuroscience (Nature Neuroscience, 2004, also with Partha Mitra; Journal of Neurophysiology, 2005, also with Valerie Ventura). His book Analysis of Neural Data, with Emery Brown and Uri Eden, was published in 2014. Dr. Kass has served as chair of the Section for Bayesian Statistical Science of the American Statistical Association, chair of the Statistics Section of the American Association for the Advancement of Science, founding editor-in-chief of the journal Bayesian Analysis, and executive editor (editor-in-chief) of the international review journal Statistical Science. He is an elected fellow of the American Statistical Association, the Institute of Mathematical Statistics, and the American Association for the Advancement of Science. Dr. Kass received his Ph.D. in statistics from the University of Chicago in 1980.
Margaret L. Loper
MARGARET L. LOPER is the chief scientist for the Information and Communications Laboratory at the Georgia Tech Research Institute. She is currently involved in projects related to trust in machine to machine systems in the Internet of Things, and uncertainty quantification in modeling and simulation. Her research contributions are in the areas of temporal synchronization, simulation testing, and simulation communication protocols. She is a senior member of the IEEE and ACM, and member of the Society for Modeling and Simulation. She is a founding member of the Simulation Interoperability Standards Organization (SISO) and received service awards for her work with the distributed interactive simulation (DIS) and high level architecture (HLA) standards and the DIS/SISO transition. She teaches the core modeling and simulation (M&S) course for Georgia Tech’s professional masters in applied systems engineering degree program, as well as three M&S professional education courses. She recently edited a book on modeling and simulation in the systems engineering lifecycle. She holds a Ph.D. in computer science from the Georgia Institute of Technology (2002), a M.S. in computer engineering from the University of Central Florida, and a B.S. in electrical engineering from Clemson University.
William W. Lytton
SUNY Downstate Medical School
WILLIAM W. LYTTON is professor of physiology and pharmacology, neurology, biomedical engineering at the State University of New York Downstate Medical Center. He uses computational neuroscience to try to forge links between disparate findings from normal and abnormal brain function. His primary research areas are modeling electrophysiological processes pertinent to epilepsy and modeling abstract neural networks to understand recovery from stroke and the basis of cognitive processes. His research efforts have been directed towards development and application of new conceptual and technical tools of computational neuroscience. Development projects have primarily been aimed at integrating the computer-science-derived top-down techniques of artificial neural networks with neuroscience-derived bottom-up techniques. Application projects have been largely aimed at the problems of understanding neurological disease, particularly epilepsy and stroke. He served on the program committee for the Computation and Neural Systems Meeting and as a reviewer for various scientific journals and funding agencies. Dr. Lytton graduated from the Columbia University College of Physicians and Surgeons in 1983.
George R. Mangun
GEORGE R. MANGUN is distinguished professor of psychology and neurology at the University of California, Davis. He was the founding director of the Center for Mind and Brain at UC Davis, and served as dean of social sciences in the College of Letters and Science from 2008-2015, and chair of psychology from 2016-2017. He leads the Laboratory for the Neural Mechanisms of Attention, and serves as Director of the Kavli Summer Institute in Cognitive Neuroscience. His research investigates the cognitive neuroscience of attention. Evolution has crafted powerful brain mechanisms that aid in ones survival in a complex and often dangerous world. The information obtained from these combined behavioral, neuropsychological and neurophysiological studies is yielding new insights into the computational and functional neuroanatomical structure of human cognition, and is vital to addressing the deficits in attention and awareness that accompany neurological and psychiatric disease. Dr. Mangun consults on numerous university, U.S. government, and international scientific panels and advisory boards, including for the National Institutes of Health, the National Academy of Sciences, and the Academy of Finland. He is also an associate editor of the Journal of Cognitive Neuroscience, the treasurer of the Cognitive Neuroscience Society. His celebrated coauthored textbook, Cognitive Neuroscience: The Biology of the Mind (W.W. Norton, 2013) is now in its fourth edition -- it has been translated into French, Italian, Portuguese, and Chinese. Among other honors, in 2007 he was elected a fellow of the Association for Psychological Science, and in 2010 he was elected a fellow of the American Association for the Advancement of Science. Dr. Mangun received the Ph.D. in neurosciences in 1987 from the University of California, San Diego.
Katherine L. Morse
Johns Hopkins University Applied Physics Laboratory
KATHERINE L. MORSE is a member of the Principal Professional Staff at the Johns Hopkins University Applied Physics Laboratory where she researches technologies for improving distributed simulation. She was previously a Technical Fellow and Assistant Vice President of Technology at SAIC. She received her B.S. in mathematics (1982), B.A. in Russian (1983), M.S. in computer science (1986) from the University of Arizona, and M.S. (1995) and Ph.D. (2000) in information & computer science from the University of California, Irvine. Dr. Morse has worked in the computer industry for over 30 years, more than 15 of them contributing to open international standards. She has performed research and development in the fields of modeling and simulation, narrative engagement, systems and software engineering, computer security, online instruction, voice recognition, and compilers. Dr. Morse has made significant contributions to nearly a dozen international standards, including leading the development of the Federation Engineering Agreements Template (FEAT) standard. She has served in multiple leadership positions in the Simulation Interoperability Standards Organization (SISO). Her Ph.D. dissertation is on dynamic multicast grouping for data distribution management, a field in which she is widely recognized as a foremost expert. She is a member of Phi Beta Kappa, Dobro Slovo, ACM, and a senior member of IEEE. Dr. Morse was the 2007 winner of the IEEE Hans Karlsson Award.
University of Southern California
SHRIKANTH S. NARAYANAN is the Andrew J. Viterbi Professor of Engineering at the University of Southern California (USC). His research interests are in human-centered sensing, computing and information processing. He is also a professor at the Signal and Image Processing Institute of USC's Electrical Engineering department and holds joint appointments as professor in computer science, linguistics and psychology. He is also the inaugural director of the Ming Hsieh Institute at USC, and directs the Signal Analysis and Interpretation Laboratory (SAIL). Prior to USC he was with AT&T Bell Labs and AT&T Research from 1995-2000. Dr. Narayanan is a fellow of the Acoustical Society of America, the Institute of Electrical and Electronics Engineers, and the American Association for the Advancement of Science. He has received a number of research and education honors including Best Transactions Paper awards from the IEEE Signal Processing Society in 2005 and 2009, appointment as its Distinguished Lecturer for 2010-2011, and a 2015 Distinguished Engineering Educator Award from the Engineers’ Council. He has published over 650 papers and has been granted sixteen U.S. patents.
Susan E. Skochelak
SUSAN E. SKOCHELAK (NAM) is a group vice president of medical education at the American Medical Association and a professor emeritus of family medicine at the University of Wisconsin School of Medicine and Public Health. Her expertise is in incorporating new health system science content and technology into health care training. She works to transform medical education to align physician training with the current and future needs of our evolving health care system. She is nationally recognized for her expertise in developing training programs in community and public health, and in rural, urban, and global communities. She works with medical schools and health care systems to bring new content and experiences in real world settings to trainees, with focus on health system sciences: patient centered care, patient safety, quality improvement, clinical decision making, team and leadership skills, and health policy and health equity. She is exploring new ways education and training can bring value to the learning health care system. She has a M.D. in medical education from the University of Michigan (1981).
Stephan F. Taylor
STEPHAN F. TAYLOR is a professor of psychiatry and Associate Chair for Research and Research Regulatory Affairs in the Department of Psychiatry; and an adjunct professor of psychology at the University of Michigan. His areas of research include schizophrenia and early psychosis, early psychosis and early intervention, treatment resistant depression, euro modulation, functional neuroimaging, obsessive compulsive disorder, neurobiology of emotion, and deep brain stimulation. He uses brain mapping technologies (functional MRI, MRS, event related potentials) to understand and treat the pathophysiology of psychiatric disorders. In healthy individuals, he has sought to understand the functional anatomy of emotion, performance monitoring, and cognitive-emotional interactions. Areas of specific focus have included brain circuits involved in emotion and attention, and disorders of interest have included schizophrenia, obsessive-compulsive disorder, and depression. This work has been carried out with tools provided by neuroimaging (PET and functional MRI) and event-related potentials (ERP). Clinically, he has extensive experience with the treatment of schizophrenia and related psychotic disorders, directing the Program for Risk Evaluation and Prevention (PREP), designed to identify youth at risk of serious mental illness such as schizophrenia and conduct research into the early stages of psychosis. He also directs the Psychiatric Neuromodulation Program, which provides clinical treatment with transcranial magnetic stimulation (TMS), and he conducts research using TMS and deep brain stimulation to translate the understanding of brain pathology gained through neuroimaging studies to develop and refine new treatments. These techniques can advance our understanding of normal and abnormal brain function, and they can 'modulate' neural function to treat symptoms of depression, obsessive-compulsive disorder and schizophrenia. His other positions include associate chair, MSA Institutional Review Board, Medical School and Adjunct Professor of Psychology in the Medical School, LSA Psychology, and the College of Literature, Science, and the Arts at the at the University of Michigan. He has a B.S. from Northwestern University and an M.D. (1988) from the Washington University School of Medicine.
Douglas J. Weber
DOUGLAS J. WEBER is an associate professor in the Department of Bioengineering and holds secondary appointments in Physical Medicine and Rehabilitation and Electrical Engineering at the University of Pittsburgh. He is also a faculty member in the Center for the Neural Basis of Cognition, the University of Pittsburgh Brain Institute, and the McGowan Institute for Regenerative Medicine. He also established and currently directs the Rehab Neural Engineering Lab. His current list of research interests includes bioengineering, neural coding, neuroprosthetics, functional electrical stimulation, and neuromuscular control and rehabilitation. He recently completed a 4-year term as a program manager in the Biological Technologies Office (BTO) at the Defense Advanced Research Projects Agency (DARPA) in Arlington, Virginia, where he created and managed a portfolio of neurotechnology programs, including DARPA’s Hand Proprioception and Touch Interfaces (HAPTIX), Electrical Prescriptions (ElectRx), and Targeted Neuroplasticity Training (TNT) programs. Dr. Weber is a member of the Society for Neuroscience, the American Physiological Society, and the Biomedical Engineering Society. Dr. Weber completed his undergraduate studies as a presidential scholar at the Milwaukee School of Engineering, Milwaukee, Wisconsin, earning a B.S. in biomedical engineering. He continued his academics with a graduate academic scholarship at the Arizona State University, Tempe, Arizona, finishing both his M.S. and Ph.D. (2001) in bioengineering. Dr. Weber received a post-doctoral fellowship in rehabilitation neuroscience from the University of Alberta Centre for Neuroscience, Edmonton, Alberta, Canada.
Mary C. Whitton
MARY C. WHITTON is a research associate professor of computer science at the University of North Carolina at Chapel Hill. She also serves as a senior project manager at UNC’s Renaissance Computing Institute. She co-leads the effective virtual environments research group that investigates what makes virtual reality experiences effective and uses knowledge of human perception to develop technologies and techniques that make virtual environments more effective for applications such as simulation, training, and rehabilitation. Before joining UNC in 1994, she was a founder of two companies (Ikonas—1978; Trancept Systems—1987) that produced high-end user-programmable hardware and software for graphics, imaging, and visualization. The companies’ products were widely adopted in research laboratories for applications including seismic exploration, 3D medical imaging, intelligence, computer animation, and scientific modeling and simulation. She has held leadership roles in ACM SIGGRAPH including serving as president 1993-1995. She is a member of ACM, ACM SIGGRAPH, and is a senior member of IEEE. She earned a B.A. from Duke University (1970), and an M.S. in guidance and personnel services (1974) and an M.S. in electrical and computer engineering (1984) from North Carolina State University.