Peter Brown, MD

Professor of Experimental Neurology
Director of the Medical Research Council Brain Network Dynamics Unit
University of Oxford

Peter Brown is Director of the MRC Brain Network Dynamics Unit at the University of Oxford. The Unit’s goal is to understand and exploit the moment-to-moment interactions between nerve cells that are critical for brain functions, with a special focus on developing novel therapies to specifically target the disturbed circuit interactions arising in disease. Peter Brown is also Professor of Experimental Neurology at the University of Oxford, a practicing Consultant Neurologist at Oxford University Hospitals Trust, and a Nicholas Kurti Senior Research Fellow at Brasenose College, Oxford. Up until 2010 he was a Professor of Neurology at University College London, where he was also head of the Sobell Department of Motor Neurosciences and Movement Disorders and a Consultant Neurologist at the National Hospital for Neurology & Neurosurgery.

Currently Professor Brown leads a multidisciplinary group of clinicians, bioengineers and psychologists interested in normal and abnormal motor control. He has demonstrated the importance of abnormal neural synchronisation in patients with Parkinson’s disease and pioneered closed-loop deep brain stimulation in this condition.

Bin He, PhD

Director, Institute for Engineering in Medicine
Director, Center for Neuroengineering
Medtronic-Bakken Endowed Chair for Engineering in Medicine
Distinguished McKnight University Professor of Biomedical Engineering

Bin He is a Distinguished McKnight University Professor of Biomedical Engineering, Medtronic-Bakken Endowed Chair for Engineering in Medicine, Director of the Institute for Engineering in Medicine, Director of the Center for Neuroengineering, and Director of the NSF IGERT Neuroengineering Training Program at the University of Minnesota. Dr. He’s research interests cover a broad spectrum in biomedical engineering, mainly in neuroengineering and biomedical imaging. He has made significant original contributions to electrophysiological source imaging, multimodal neuroimaging, and brain-computer interface. He has published over 200 peer reviewed journal articles and is the sole editor of the text book entitled Neural Engineering (2nd Ed, 2013, Springer). Dr. He is a recipient of the Academic Career Achievement Award from the IEEE Engineering in Medicine and Biology Society (EMBS), the Outstanding Research Award from the International Federation of Clinical Neurophysiology, the Established Investigator Award from the American Heart Association, among others. A Fellow of International Academy of Medical and Biological Engineering, IEEE, American Institute of Medical and Biological Engineering and Institute of Physics, Dr. He served as a Past President of IEEE EMBS, International Society for Functional Source Imaging, and International Society for Bioelectromagnetism. Dr. He is the Editor-in-Chief of IEEE Transactions on Biomedical Engineering, and is a member of the NIH BRAIN Multi-council Working Group.

Karen Moxon, PhD

Professor, Associate Dean for Research, School of Biomedical Engineering
Science and Health Systems
Drexel University

Dr. Moxon is a Professor and Associate Dean for Research in the School of Biomedical Engineering, Science and Health Systems at Drexel University. Her work focuses on how neurons represent sensorimotor information and the development of brain-machine interface (BMI) technology for restoration of function after spinal cord injury. Early in her career, Dr. Moxon worked on the first demonstration of BMI technology (Chapin, Moxon et al., 1999) to control a robotic arm to replace forelimb function. She also developed novel neural interface devices to improve the longevity of microelectrodes establishing ceramic as an ideal insulator for chronic, thin-film microelectrodes that has been adopted by many labs and the use of porous silicon in the development of thin-film microelectrodes to deliver neuroprotective drugs, minimizing damage from insertion. Her lab developed the first BMI for restoration of hindlimb function after complete spinal transection. This experimental paradigm is being used to study neuronal plasticity in supraspinal networks and its role in functional recovery. Most recently, she developed a closed loop BMI system that decodes commands for volitional control of movement and uses those commands to control stimulation in the spinal cord to restore function after paraplegia.

Alvaro Pascual-Leone, MD, PhD

Professor of Neurology, Harvard Medical School
Director, Berenson-Allen Center for Noninvasive Brain Stimulation at Beth Israel Deaconess Medical Center

Alvaro Pascual-Leone, MD, PhD, is Professor of Neurology at Harvard Medical School, Chief for the Division of Cognitive Neurology, Director of the Berenson-Allen Center for Noninvasive Brain Stimulation, and a practicing cognitive neurologist at Beth Israel Deaconess Medical Center. His research aims at understanding the mechanisms that control brain plasticity across the life span to be able to modify them for the patient’s optimal behavioral outcome, prevent age-related cognitive decline, reduce the risk for dementia, and minimize the impact of neurodevelopmental disorders.

Dr. Pascual-Leone is a world leader in the field of noninvasive brain stimulation where his contributions span from technology development, through basic neurobiologic insights from animal studies and modeling approaches, to human proof-of-principle and multicenter clinical trials. His research has been fundamental in establishing the field of therapeutic brain stimulation. His work has provided evidence for the efficacy of noninvasive brain stimulation in treating various neurologic and psychiatric conditions, including epilepsy, stroke, Parkinson disease, chronic pain, autism, and drug-resistant depression.

Dr. Pascual-Leone has authored more than 600 scientific papers as well as several books, and is listed inventor in several patents. Dr. Pascual-Leone is the recipient of several international honors and awards, including the Ramón y Cajal Award in Neuroscience (Spain), the Norman Geschwind Prize in Behavioral Neurology from the American Academy of Neurology, the Friedrich Wilhelm Bessel Research Award from the Alexander von Humboldt Foundation (Germany), and the Jean-Louis Signoret Prize from the Ipsen Foundation (France). He is an elected member of the Spanish Royal Academy of Science (Farmacia).

Carlos Peña, PhD

Division of Neurological and Physical Medicine Devices
Office of Device Evaluation
Center for Devices and Radiological Health
Food and Drug Administration (FDA)

Dr. Carlos Peña is Division Director for the Division of Neurological and Physical Medicine Devices, in the Office of Device Evaluation, Center for Devices and Radiological Health (CDRH), at the U.S. Food and Drug Administration (FDA).

Dr. Peña is involved in all aspects of the safety and effectiveness review of neurostimulation, neurodiagnostic, neurosurgical, neurotherapeutic, and physical medicine devices. He also serves as a Principal Investigator on a FDA sponsored clinical study focused on the treatment of pediatric neurologic disorders.

Prior to joining CDRH, Dr. Peña served on detail as Assistant Director for Emerging Technologies in the Office of Science and Technology Policy (OSTP), in the Executive Office of the President of the United States. His areas of expertise included science, technology, policy, analysis, and regulatory matters related to biology, neuroscience, biotechnology, emerging technologies, agriculture, and STEM education. Before joining OSTP/FDA, Dr. Peña served at the National Institute of Neurological Disorders and Stroke, National Institutes of Health. He completed his neurosciences doctoral training at Case Western Reserve University in Cleveland, Ohio. He also attended the University of Connecticut for the Masters in Comparative Physiology, and the City College of New York, City University of New York, where he received a Bachelors specializing in Developmental Biology.

Grace Peng, PhD

Program Director
Division of Discovery Science & Technology (DDST)
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
National Institutes of Health (NIH)

Grace C.Y. Peng received the B.S. degree in electrical engineering from the University of Illinois at Urbana, the M.S. and Ph.D. degrees in biomedical engineering from Northwestern University. She performed postdoctoral and faculty research in the department of Neurology at the Johns Hopkins University. In 2000 she became the Clare Boothe Luce professor of biomedical engineering at the Catholic University of America. Since 2002, Dr. Peng has been a Program Director in the National Institute of Biomedical Imaging and Bioengineering (NIBIB), at the National Institutes of Health. Her program areas at the NIBIB include mathematical modeling, simulation and analysis methods, and next generation engineering systems for rehabilitation, neuroengineering, and surgical systems. In 2003, she brought together the Neuroprosthesis Group (NPG) of program officers across multiple institutes of the NIH. Also in 2003, Dr. Peng led the creation of the Interagency Modeling and Analysis Group (IMAG), which now consists of program officers from ten federal agencies of the U.S. government and Canada (www.imagwiki.org). IMAG has continuously supported funding specifically for multiscale modeling (of biological systems) since 2004. IMAG facilitates the activities of the Multiscale Modeling (MSM) Consortium of investigators (started in 2006). Dr. Peng is interested in promoting the development of intelligent tools and reusable models, and integrating these approaches in engineering systems and multiscale physiological problems.

Jose C. Principe, PhD

Distinguished Professor of Electrical and Computer Engineering
BellSouth Professor
University of Florida
Vice President for Technical Activities
IEEE Engineering in Medicine and Biology Society

Jose C. Principe is a Distinguished Professor of Electrical and Computer Engineering at the University of Florida where he teaches advanced signal processing, machine learning and artificial neural networks (ANNs). He is BellSouth Professor and the Founder and Director of the University of Florida Computational NeuroEngineering Laboratory (CNEL) www.cnel.ufl.edu . His primary area of research is processing of time varying signals with adaptive neural models. The CNEL Lab innovated signal and pattern recognition principles based on information theoretic criteria, as well as filtering in functional spaces. His secondary area of interest has focused in applications to computational neuroscience, Brain Machine Interfaces and brain dynamics.

Dr. Principe is a Fellow of the IEEE, AIMBE, and IAMBE. He is the past Chair of the Technical Committee on Neural Networks of the IEEE Signal Processing Society, Past-President of the International Neural Network Society (INNS), and Past-Editor in Chief of the IEEE Transactions on Biomedical Engineering. Currently he is Vice President for Technical Activities of the IEEE EMB Society and an ADCOM member of the IEEE Computational Intelligence Society (CIS). Dr. Principe received the Gabor Award, from the INNS, the Career Achievement Award from the IEEE EMBS and the Neural Network Pioneer Award, of the IEEE CIS. He has more than 700 publications and 20 patents awarded. He directed 81 PhD dissertations and 65 Master theses.

Philip A. Starr, MD, PhD

Professor of Neurological Surgery
Dolores Cakebread Endowed Chair
University of California, San Francisco

Dr. Starr is currently Professor of Neurological Surgery, and holds the Dolores Cakebread endowed chair, at the University of California, San Francisco. He received his medical and doctorate degrees from Harvard Medical School, did his neurosurgery residency at Brigham and Women’s Hospital, and completed a fellowship in movement disorders surgery at Emory University. He is founder and surgical director of the largest program for deep brain stimulation in the Western USA. His NIH funded research addresses: 1) The effects of disordered basal ganglia output on cortical function in patients with movement disorders, 2) mechanisms of therapeutic deep brain stimulation, and 3) The use of totally implantable neural interfaces for long term brain recording. In addition, with UCSF colleagues Drs. Paul Larson and Alastair Martin, he has developed new surgical approaches to achieve very accurate implantation of drugs and devices at deep brain targets, using interventional MRI. Dr. Starr directs a fellowship training program in functional neurosurgery, and is past president of the American Society for Stereotactic and Functional Neurosurgery.

Nitish V. Thakor, PhD

Professor of Biomedical Eng, Electrical Eng, Neurology
Director, Neuroengineering Training Program
Johns Hopkins University
Editor in Chief, Medical and Biological Engineering and Computing

Nitish V. Thakor is a Professor of Biomedical Engineering at Johns Hopkins University in the USA as well as the Director of the Singapore Institute for Neurotechnology (SINAPSE) at the National University of Singapore. Dr. Thakor’s technical expertise is in the field of Neuroengineering, where he has pioneered many technologies for brain monitoring to prosthetic arms and neuroprosthesis. He is an author of more than 290 refereed journal papers, more than a dozen patents, and co-founder of 3 companies. He is currently the Editor in Chief of Medical and Biological Engineering and Computing, and was the Editor in Chief of IEEE TNSRE from 2005-2011. Dr. Thakor is a recipient of a Research Career Development Award from the National Institutes of Health and a Presidential Young Investigator Award from the National Science Foundation, and is a Fellow of the American Institute of Medical and Biological Engineering, IEEE, Founding Fellow of the Biomedical Engineering Society, and Fellow of International Federation of Medical and Biological Engineering. He is a recipient of the award of Technical Excellence in Neuroengineering from IEEE Engineering in Medicine and Biology Society, Distinguished Alumnus Award from Indian Institute of Technology, Bombay, India, and a Centennial Medal from the University of Wisconsin School of Engineering.

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