Nader Pouratian, M.D., Ph.D., is a Professor of Neurosurgery, Bioengineering, Neuroscience, and Radiation Oncology. His research integrates these areas of study by focusing (1) normal brain function (2) the network-basis of disease pathophysiology and (3) therapeutic mechanisms of invasive neuromodulation. His lab primarily aims to investigate motor network physiology and dynamics, using multisite recordings and network analyses, with an emphasis on taking advantage of the intraoperative environment to elucidate the physiologic basis of disease and neuromodulation. Other areas of research include the network basis of treatment-resistant depression, chronic pain, and obsessive compulsive disorder and developing novel neurotherapeutic to restore vision for blind.
Nanthia Suthana, Ph.D., is an Assistant Professor of Psychiatry, Neurosurgery, Psychology, and Bioengineering. Her research uses advanced signal processing and invasive recording and stimulation of single-unit and local field potential (LFP) activity in human patient populations such as epilepsy. She has been awarded a NIH U01 grant to investigate a novel method for chronic wireless and programmable recording and stimulation in epilepsy patients combined with virtual (and augmented) reality technologies. These studies provide a rare window into human brain function during freely moving human behaviors and how these systems may be modulated to improve function.
Dejan Markovic, Ph.D., is a Professor of Electrical Engineering, whose work bridges engineering, medicine, and neuroscience. His interests span topics such as implantable neuromodulation systems, domain-specific compute architectures, and design methodologies. His current projects utilize low-power technology for neural recording and stimulation, wireless power and data, developed under DARPA RAM (Restoration of Active Memory) and SUBNETS (Systems-Based Neurotechnology for Emerging Therapies) programs. He also has experience in entrepreneurship.
Anne Andrews, Ph.D., is a Professor of Psychiatry and Biobehavioral Sciences, and Chemistry and Biochemistry. Her laboratory develops state-of-the-art chemical approaches for in vivo sensing including fast microdialysis, voltammetry, and electronic biosensors. She leads a multi-investigator, interdisciplinary team of biological and biomedical scientists, chemists, and engineers dedicated to developing “next-generation” implantable sensors for investigating chemical signaling by a wide variety of neuroactive substances in freely behaving animals. She has mentored > 100 highly successful scientists and physicians-in-training.
Michele A. Basso, Ph.D., is a Professor of Psychiatry and Neurobiology with expertise in behavioral, psychophysical and electrophysiological measurements in alert non-human primates and rodents and psychophysics in humans. She is particularly interested in understanding how the mechanisms and neuronal circuits related to decision-making may go awry in movement disorders such as Parkinson’s disease, Huntington’s disease and dystonia. She currently has 4 NIH grants (3 RO1s and U award) in support of her research.
Mark Cohen, Ph.D., is a Professor of Psychiatry, with joint appointments also in Neurology, Biomedical Physics, Radiological Sciences, Bioengineering, and Psychology. He has made meaningful neurotechnological contributions including in functional imaging, both MRI and EEG technology, cognitive science, and methods of analysis. He has a long-standing interest in multimodal data collection and analysis, including EEG and MRI, and a strong track record in technology development projects, and holds several engineering patents. For ten years, he was the PI and director of the NIH-sponsored UCLA NeuroImaging Training Program, a highly successful international program that provided direct training to nearly 450 advanced students, and whose web- based training has been used by several thousand individuals.
Itzhak Fried, M.D., Ph.D., is a Professor of Neurosurgery and Psychiatry and Biobehavioral Sciences and recognized world leader in novel neurotechnologies related to intracranial recordings in epilepsy patients. He pioneered the use of a novel micro-wire electrode (i.e., Behnke-Fried electrode) for single neuron recordings in humans. Current work in his laboratory seek to understand memory mechanisms down to the single neuron level and develop closed loop facilitation of human memory for the benefits of neurological patients.
Peyman Golshani, Ph.D., is Professor of Neurology. His laboratory investigates how local and long-range cortical circuits work together to drive cognition, and to understand how these processes are degraded in models of autism and epilepsy. He has developed a new generation of open-source miniaturized microscopes that allow calcium imaging in freely moving animals at extremely low cost and are working to incorporate wireless, multichannel, and optogenetic capabilities into these microscopes.
Jonathan Kao, Ph.D., is an Assistant Professor in Electrical and Computer Engineering. His laboratory studies questions at the intersection of computation and neuroscience, with a focus on (1) developing and applying machine learning techniques to large neuroscience datasets, (2) analyzing neural mechanisms through deep learning, and (3) developing tools and algorithms for brain machine interfaces.
Wentai Liu, Ph.D., is a Distinguished Professor of Bioengineering, Electrical and Computer Engineering, and CNSI. His work focuses on the creation of the enabling technology for the main aims of – 1) regaining eyesight for the blind with high visual acuity; 2) restoring motor function for the paralyzed; 3) bioelectronic medicine (BM) to regulating the gastrointestinal tract, the immune system, and dementia; and 4) developing state of the art neural interface technology. He has founded biomedical companies and also trained innumerable undergraduate and graduate students, post-doctoral fellows, and visiting scholars in the biomedical engineering field.
Daniel Lu, M.D., Ph.D., is an Associate Professor of Neurosurgery and Director of the Neuromodulation Spine Fellowship Program. His program has developed novel analytical tools and digital devices to assess for motor function improvement after surgery. Ultimately, these projects have the goal to improve upon our current surgical treatment of spinal disorders.
Sotiris Masmanidis, Ph.D., is an Associate Professor of Neurobiology. His group has developed silicon-based multielectrode arrays for recording the firing activity of large populations of neurons in mice. He combines these tools with complementary approaches, such as optogenetics, to study how the cortex and basal ganglia encode information during reward-guided behavior, and how neural dynamics in these areas control associative learning and voluntary movement.
Harold Monbouquette, Ph.D., is a Professor of Chemical and Biomolecular Engineering. His group conducts research focused on sensors and diagnostics, as well as the application of nanotechnology to these areas. He has been instrumental in creating an implantable microprobe with neurochemical sensing sites that exhibit rapid response times (<100 msec) while retaining high selectivity, in incorporating multiple sensing modalities on the same probe, in developing a PDMS microstamping method to deposit enzyme to targeted microelectrode sites, and in fabricating an on-probe reference site that results in 60-70% reduction in sensor noise.
Gina Poe, Ph.D., is a Professor of Integrative Biology and Physiology. She studies the role of sleep in offline processing for learning and memory consolidation. Her research efforts and collaborations have developed a number of new technologies, including coherent fiber bundle reflectance imaging of neural activity in the freely behaving animal, transforming an electrophysiological platform for the 1998 Space Shuttle Neurolab mission; and creating several new behavioral testing platforms and equipment to tease out hippocampal vs procedural learning strategy utilization.
Dario Ringach, Ph.D., is a Professor of Neurobiology and Psychology. His work centers on the organization and function of primary visual cortex. His research spans a broad range of topics, from studies of motion processing and flight stabilization in the fly, to eye movements and 3D shape perception in humans, the development of the visual system, representation and computation in cortical populations, and the organization of epileptic networks in human patients.
Dr. Shivkumar is a physician scientist who serves as the director of the UCLA Cardiac Arrhythmia Center & EP Programs (since its establishment in 2002). His is a graduate of the UCLA STAR Program (class of 2000) and his field of specialization is interventional cardiac electrophysiology. He leads a large group at UCLA (comprising a diverse group of fifteen faculty members, several trainees and sixty staff + allied health professionals) involved in clinical care, teaching, research and biomedical innovation. The team provides state of the art clinical care, has developed several innovative therapies (e.g. epicardial ablation, neuromodulation) for the non-pharmacological management of cardiac arrhythmias and other cardiac interventions. The team has a major focus on mechanistic research on the neural control of the mammalian heart. Dr. Shivkumar also serves as the director and chief of the UCLA Cardiovascular Interventional Programs. Dr. Shivkumar’s research work relates to mechanisms of cardiac arrhythmias in humans especially the role of the autonomic nervous system and his research work transcends the perspective of a single organ and has implications for neurovisceral sciences in general. The UCLA Neurocardiology Research Program of Excellence was established by him as the specialized research arm of the Arrhythmia Center in 2014. Dr. Shivkumar and his colleagues are actively involved in human mechanistic studies, development of new intellectual property and medical technology for cardiovascular therapeutics. His IP has been incorporated into medical devices that are now FDA approved and in clinical use. He serves as an editor for several journals in cardiology and cardiac electrophysiology, and is a peer reviewer for several basic science and clinical journals. He also serves as a peer reviewer for the NIH in evaluating cardiac arrhythmia & neuroscience research. His research has been supported by grants from the American Heart Association, the Doris Duke Foundation, private donors and from the NIH (continuously since 2006). Currently Dr. Shivkumar oversees a 15-university NIH consortium on neural control of the heart. Dr. Shivkumar has mentored several STAR awardees and has received several teaching awards. He has been appointed to serve on the board of examiners for Clinical Cardiac Electrophysiology Section of the ABIM (American Board of Internal Medicine). He has been elected to the membership of the American Society of Clinical Investigation (ASCI) and serves as the institutional representative of UCLA for the ASCI. He was elected as an honorary Fellow of the Royal College of Physicians (London) in 2016 & President of the ISAN (International Society of Autonomic Neuroscience) in 2019.
Kate Wassum, Ph.D., is an Associate Professor of Psychology. Her laboratory is aimed broadly at exposing the psychological processes and neural mechanisms that underlie appetitive associative learning, motivation, and decision-making. She uses a multidisciplinary approach combining behavioral procedures rooted in the rich traditions of learning theory with advanced systems neuroscience neural recording, interference, and/or molecular methods. All of her work is targeted at understanding the neural mechanisms underlying the maladaptive motivated behavior that marks diseases such as addiction, compulsive overeating, and depression.