Harvard Medical School

Alvaro Pascual-Leone, is a cognitive neurologist specialized in brain health and dementia care, a world leader in neurotechnology, a translational neuroscientist, a committed teacher and mentor. He serves as Professor of Neurology at Harvard Medical School, Senior Scientist of the Marcus Institute for Aging Research, and Medical Director of the Wolk Center for Memory Health at Hebrew SeniorLife in Boston, MA. His scientific work combines various neurophysiologic, imaging and stimulation techniques to understand causal relations between brain activity, cognitive processes, and behavior in health and disease. His goal is the development of tools and translational approaches to modulate brain activity and help patients with brain-related disabilities while gaining fundamental insights into human brain function. He has authored more than 1000 scientific papers and several books. He is listed inventor in over 30 patents for various methods for noninvasive brain stimulation, and digital biomarkers of cognition, behavior and brain health.

CorTec GmbH

Dr.Jörn Rickert is a pioneer in the field of translational neurotechnology. He is the Founder of CorTec GmbH and a Principal Investigator at the University of Freiburg. Dr. Rickert specializes in bridging the gap between academic research and industrial application. He led the development of the CorTec Brain Interchange, a fully implantable, closed-loop Brain-Computer Interface platform designed for long-term human use. His work provides essential technological infrastructure for novel therapies treating neurological disorders such as epilepsy and Parkinson's disease. Dr. Rickert is widely recognized for his expertise in transforming neuroscientific innovations into clinically viable medical devices. 

School of Electrical Engineering, Korea Advanced Institute of Science and Technology

Dr.Jae-Woong Jeong is the KAIST Endowed Chair Professor and Professor of Electrical Engineering at Korea Advanced Institute of Science and Technology (KAIST). He earned his PhD in Electrical Engineering from Stanford University in 2012 and subsequently worked as a postdoctoral researcher at the University of Illinois at Urbana-Champaign from 2012 to 2014. Prior to joining KAIST, he was an Assistant Professor of Electrical, Computer, and Energy Engineering at the University of Colorado Boulder from 2015 to 2017. His research focuses on developing advanced design and fabrication strategies for bio-integrated electronics, with applications in neuroscience, healthcare, and human-machine interfaces. Dr. Jeong has received numerous awards, including the Scientist of the Month Award from the Ministry of Science and ICT of Korea (2025), the KAIST Transdisciplinary Research Award (2024), the S-Oil Young Scientist Award (2023), and recognition for one of the Top 100 Achievements in National R&D Projects of Korea (2023).

School of Data Science, Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University

Jianfeng Feng is Chair Professor at the Shanghai Centre for Mathematical Sciences, and Dean of the Institute of Science and Technology for Brain-Inspired Intelligence and the School of Data Science at Fudan University. He has made considerable contributions to the development of brain-inspired AI algorithms and their application to tackling challenges in neuroscience and mental health, with many publications in Cell, Science, Nature Medicine, Nature Human Behaviour, Nature Aging, Nature Mental Health, etc.

School of Life Sciences, East China Normal University

Dr. Haifeng Ye is a Distinguished Professor and Dean of the School of Life Sciences at East China Normal University (ECNU). He was selected for the national “Wan Ren Scholar” talent program in 2020. He serves as a Chief Scientist of China’s National Key Research and Development Program and has received major support from the National Natural Science Foundation of China, including funding for original exploratory research. He is also a member of the Special Committee on Interdisciplinary Science and Future Technologies of the Ministry of Education’s Science and Technology Commission.

Biosciences Institute, Newcastle University

Andrew Jackson is the Professor of Neural Interfaces and Co-Director of the Centre for Translational Neuroscience at Newcastle University, and a member of the MRC Centre of Research Excellence in Restorative Neural Dynamics. His research interests focus on bidirectional, closed-loop neural interfaces for the restoration and augmentation of brain circuitry. He has co-founded two early-stage neurotechnology companies, MintNeuro which provides advanced semiconductor solutions to the neural implant industry, and Neudio, which is developing a novel brain-responsive music therapy.

ONWARD Medical N.V

Dave Marver joined ONWARD in July 2020. An accomplished chief executive and director with more than 25 years of international experience in public, private, and emerging companies, he combines expertise in medical and consumer technology, wearables, and health monitoring. Previously, Dave spent almost 15 years with Medtronic in a variety of leadership positions in the US and Europe, including Vice President roles in Sales, Marketing, Strategy, and Business Development. He then joined NASDAQ-listed Cardiac Science Corporation as CEO, before co-founding two start-ups. He holds a BA in Psychology from Duke University and an MBA from University of California Los Angeles.

Korea Institute of Science and Technology

Hyungmin Kim received his B.S.and M.S.in Mechanical Engineering from Seoul National University in 1998 and 2001, respectively. He then spent six years developing medical imaging software and surgical navigation systems at Cybermed, Inc. In 2011, he completed his Ph.D. in Biomedical Engineering from the University of Bern, Switzerland, concurrently working as a research scientist at the Institute of Surgical Technology and Biomechanics. Following a postdoctoral fellowship at Harvard Medical School's Department of Radiology, he is currently a principal research scientist at the Bionics Research Center, Korea Institute of Science and Technology. He is also a professor at the Division of Bio-Medical Science & Technology, University of Science and Technology. His current research focuses on focused ultrasound, image-guided therapy, and brain-machine interfaces.

Department of Electronic and Computer Engineering and the Department of Chemical and Biological Engineering, Hong Kong University of Science and Technology

Yiwen Wang received her B.S. and M.S. degrees from the University of Science and Technology of China (USTC) in Hefei, Anhui, China, and earned her Ph.D. from the University of Florida in Gainesville, FL, USA. From 2010 to 2016, she served as an Associate Professor at Zhejiang University in Hangzhou, China. Currently, she is an Associate Professor with substantiation in the

Department of Electronic and Computer Engineering and the Department of Chemical and Biological Engineering at the Hong Kong University of Science and Technology.

Her research interests encompass neural decoding in brain-machine interfaces, adaptive signal processing, computational neuroscience, and neuromorphic engineering. She has held several leadership roles, including Chair of the IEEE Engineering in Medicine and Biology Society (EMBS) Neural Engineering Technical Committee, Chair of the IEEE BRAIN Publication Subcommittee, and board member of the Brain-Computer Interfaces Society. Additionally, she served as the Editor-in-Chief of the IEEE Brain Newsletter and is currently a member of the editorial board of the Journal of Neural Engineering. She also acts as an Associate Editor for the IEEE Transactions on Neural Systems and Rehabilitation Engineering and has previously held the position of Associate Editor for Frontiers in Human Neuroscience (Brain-Computer Interfaces) and the IEEE Transactions on Cognitive and Developmental Engineering. She was recognized as an IEEE EMBS Distinguished Lecturer in 2022 and received the IEEE EMBS Distinguished Service Award in 2023. She was a keynote speaker at the IEEE Engineering in Medicine and Biology Society (EMBS) Annual Conference 2024, focusing on NeuroEngineering, and served as program chair for the IEEE EMBS Conference on Neural Engineering 2025. She holds two U.S. patents and has authored over 150 peer-reviewed publications.

Department of Engineering Science, University of Oxford

Professor David Clifton is the Royal Academy of Engineering Chair of Clinical Machine Learning at the University of Oxford, and leads the Computational Health Informatics (CHI) Lab which focuses on AI for Healthcare.  He is also NIHR Research Professor, appointed as the first non-medical scientist to the NIHR's "flagship chair". He is Fellow of the Institute of Engineering and Technology (IET), Fellow of the Alan Turing Institute, a Research Fellow of the Royal Academy of Engineering, Visiting Chair in AI for Health at the University of Manchester, and a Fellow of Fudan University, China. He studied engineering, specialising in machine learning, at Oxford's Department of Engineering Science, supervised by Lord (Lionel) Tarassenko CBE. His early research resulted in patented systems for jet-engine health monitoring, used with the engines of the Airbus A380, the Boeing 787 "Dreamliner", and the Eurofighter Typhoon. He then focused on the development of AI-based methods for healthcare. His research has been commercialised via university spin-out companies OBS Medical, Oxehealth, Biobeats, Sensyne Health, and Marley Health in addition to collaboration with multinational industrial bodies.In 2018, the CHI Lab opened its second site, in the Oxford University-owned research labs in Suzhou (China), which focuses on open research in "Digital Health" using public data. In 2019, the Wellcome Trust's first "Flagship Centre" was announced, which joins CHI Lab to the Oxford University Clinical Research Unit in Vietnam, focused on AI for healthcare in low-income countries. In 2021, the Oxford-CityU Centre for Cardiovascular Engineering was opened in Hong Kong, of which he is co-director.  In 2022, the Pandemic Sciences Institute opened at Oxford, for which CHI Lab provides its AI theme.  In 2025, the Oxford-GSK Centre for Biostatistics and AI was created, in which the CHI Lab is one of four contributing research groups.His research has won over 40 awards; he is a Grand Challenge awardee from the UK Engineering and Physical Sciences Research Council, for "future leaders in healthcare." He was joint winner of the inaugural "Vice-Chancellor's Innovation Prize", which identifies the best interdisciplinary research across the entirety of the University of Oxford.  He was the recipient of the IEEE Early Career Award in 2022, given to one engineer annually for achievements within the first ten years of their academic career. He has previously taught widely across Oxford undergraduate and graduate courses in mathematics, statistics, and machine learning.  He founded two AI spin-out companies in 2024-25 via Oxford University Innovation.

Changping Laboratory

Dr. Hesheng Liu is a Professor at Changping Laboratory. He earned his B.S., M.S., and Ph.D. from Tsinghua University, China. Prior to joining Changping Lab, he held positions including SmartState Endowed Chair Professor in Neuroscience at the Medical University of South Carolina (MUSC), Associate Professor at Harvard Medical School, and Director of the Individual Differences Laboratory at the Martinos Center for Biomedical Imaging, Massachusetts General Hospital. His research focuses on developing advanced neuroimaging and computational methods to map individualized brain functional architecture. A key aim of his work is to precisely localize brain networks in individual subjects using functional MRI, guiding targeted interventions. Dr. Liu has authored over 160 publications in leading journals such as Nature，Nature Neuroscience, and Neuron.

MRC Brain Network Dynamics Unit, University of Oxford

Ash studied Neurophysiology at the University of Cambridge, before completing his medical studies at University College London. He undertook his early clinical training in Cambridge and Oxford, prior to studying for a D.Phil. in Clinical Neurosciences at the University of Oxford (advised by Professor Peter Brown at Oxford and Professor Vladimir Litvak at UCL). During Ash’s D.Phil., he used a combination of magnetoencephalography (MEG), electroencephalography (EEG) and deep brain recordings in people with Parkinson’s to investigate the brain network effects of Deep Brain Stimulation (DBS) used to treat the disease. Ash’s research aims to use imaging, computational and electrophysiological approaches to discover how neurological disease phenotypes relate to specific brain network dysfunction. This is likely to be important for both improved (and earlier) diagnoses and the discovery of novel treatments.

MRC Brain Network Dynamics Unit, University of Oxford

Huiling Tan is Professor of Human Electrophysiology and Neuromodulation at the University of Oxford, UK, and a Programme Leader in the Medical Research Council (MRC) Brain Network Dynamics Unit. She is also an elected Turing Fellow of the Alan Turing Institute. Professor Tan serves on the MRC Neuroscience and Mental Health Board and the Royal Society Research Grants Committee for Biological Sciences, two of the UK’s principal bodies for research and innovation funding.Professor Tan’s research is at the forefront of a therapeutic revolution in brain–machine interfaces and neuromodulation. Her work pioneers real-time recording, interpretation, and targeted stimulation of brain signals to restore and enhance neural function. Central to her research is the hypothesis that neuromodulation strategies tailored to the pathophysiology of specific brain circuits are both more effective and produce fewer side effects than conventional continuous stimulation. Her group has made major contributions to understanding how abnormal neural dynamics give rise to the disabling symptoms of movement disorders, particularly Parkinson’s disease. Building on these insights, her laboratory develops and translates next-generation closed-loop (adaptive) deep brain stimulation (aDBS) systems that dynamically adjust stimulation based on ongoing brain activity. Widely recognised as a leading team in clinical neuroscience and adaptive neuromodulation, her group’s work has been published in high-impact journals including Brain, Nature Communications, and Brain Stimulation.

Department of Bioengineering, Imperial College London

Hayriye Cagnan studied Electrical and Electronics engineering at Cornell University as a Fulbright Scholar and specialised in signal processing and biomedical engineering (2000-2004). In 2004, she was awarded a British Chevening scholarship and was accepted to the M.Sc. programme in Engineering and Physical Science in Medicine at Imperial College. Hayriye completed her Ph.D. in Neuroscience in a joint placement between the University of Amsterdam and Philips Research Laboratories in December 2010. Subsequently, Hayriye joined University of Oxford as a postdoctoral researcher and worked on tremor pathophysiology. In 2015, Hayriye was awarded a MRC Skills Development Fellowship in Biomedical Informatics, and was based at the Wellcome Trust Centre for Neuroimaging at University College London. In 2018, Hayriye established her independent research group at the MRC Brain Network Dynamics Unit at University of Oxford after being awarded a MRC Career Development Award.

Department of Brain Sciences, Imperial College London

Nir is an Associate Professor (Senior Lecturer) at the Department of Brain Sciences at Imperial College London and a founding fellow of the UK Dementia Research Institute (UK-DRI). His research aims to transform the lives of people with neurodegenerative diseases by pioneering non-invasive neuromodulatory interventions. He received a BSc in Physics from the Israeli Institute of Technology (Technion), an MSc in Electromagnetic Engineering from the Technical University of Hamburg-Harburg, and a PhD in Neuroscience from Imperial College London. He then completed a postdoc training as a Wellcome Trust Fellow with Ed Boyden at MIT and Alvaro Pascual Leone at Harvard.Nir was awarded the Science & PINS Prize for Neuromodulation for developing the Temporal Interference (TI) technology, which enables non-invasive electrical deep brain stimulation. At the UK-DRI, he is translating the TI brain stimulation technology into therapy for Alzheimer’s disease.