Jiaxuan You is an Assistant Professor at the Siebel School of Computing and Data Science, University of Illinois at Urbana-Champaign, leading the U Lab focused on achieving Artificial General Intelligence (AGI) in digital environments. His research spans graph neural networks (GNNs), relational data, foundation models, and machine learning systems. PhD and MS in Computer Science from Stanford University (2021) Developed GraphGym and PyTorch Geometric (PyG) for graph learning Core member at Kumo AI (2021-2023) His research explores: Graph-enhanced LLMs: Integrating relational structures into foundation models AGI Development: Self-optimizing AI agents and tool utilization ML Systems: Scalable architectures and redundancy-free computation Interdisciplinary Applications: Financial networks, crop yield prediction, and metro systems Recent publications focus on temporal reasoning, multi-agent dynamics, and hybrid architectures for LLMs. He actively develops open-source tools like DBGYM and GraphRouter. Scientific recognition includes: JPMC PhD Fellowship Baidu Scholarship Best Student Paper at AAAI 2017 World Bank Big Data Innovation Challenge winner He mentors PhD and intern students, emphasizing machine learning systems expertise. His lab collaborates on AGI workshops (e.g., ICLR 2024) and industry projects.
Christopher Thomas Sege, PhD is an Assistant Professor in the Department of Psychiatry and Behavioral Sciences at the Medical University of South Carolina (MUSC) College of Medicine. His research focuses on the neurophysiological mechanisms underlying anxiety disorders, particularly examining escape, avoidance, and approach behaviors in the anxiety disorder spectrum. Dr. Sege's primary research interests include: Anxiety Disorders and Emotional Processing Defensive Behaviors and Coping Mechanisms Neurophysiological Correlates of Emotional Anticipation Startle Response and Autonomic Nervous System Functioning Transcranial Magnetic Stimulation (rTMS) Applications His work bridges clinical psychology with neuroscience to understand how individuals with anxiety disorders process and respond to emotional stimuli. Dr. Sege leads the research study "Modeling and Modulating Mechanisms of Escape, Avoidance, and Approach in the Anxiety Disorder Spectrum" which investigates whether repetitive transcranial magnetic stimulation (rTMS) can alter how people with anxiety cope with emotional situations. This study involves measuring brain activation while participants view emotional pictures and undergo rTMS procedures. His publication record demonstrates expertise across multiple domains: Neurophysiological mechanisms of defensive behaviors Emotional anticipation and perception Startle modulation in anxiety disorders Borderline personality disorder research Development of experimental paradigms for emotional processing studies His research employs multiple methodologies including psychophysiology, event-related potentials, and neurostimulation techniques. Dr. Sege collaborates with researchers including Lisa McTeague, Bernadette Cortese, Carla Danielson, Thomas Uhde, and Aicko Schumann. His work appears in journals such as Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, Biological Psychology, and Psychophysiology.
Holly J. Benjamin, MD is a distinguished sports medicine specialist at the University of Chicago, serving as the inaugural Director of the Primary Care Sports Medicine Program at UChicago Medicine Student Wellness Center. She holds leadership positions including Chair of the Committee on Sports Medicine & Fitness for the Illinois Chapter of the American Academy of Pediatrics, and serves as Head Medical Team Physician for the WNBA Chicago Sky and medical officer for major events including the Bank of America Chicago Marathon, US Soccer, and USA Triathlon. Her educational background includes: B.S. in Integrated Life Sciences, Kent State University (1994) Combined BS/MD, Northeastern Ohio Universities College of Medicine (1994) MD, Northeastern Ohio Universities College of Medicine (1994) Residency in Pediatrics, The University of Chicago Children's Hospital (1997) Fellowship in Primary Care Sports Medicine, Lutheran General Hospital (1998) Dr. Benjamin specializes in sports medicine with particular expertise in youth, adolescent, and collegiate athletes. Her research spans acute and overuse sports injuries, concussion management, sport biomechanics, and musculoskeletal ultrasound. She has made significant contributions to understanding injury prevention strategies, safe return-to-play protocols, and the psychological aspects of sports injuries. Her work frequently addresses female athletes and elite/professional athletes, with emphasis on evidence-based approaches to optimize performance while minimizing injury risk. Recent publications demonstrate a strong focus on concussion research, with multiple studies examining diagnostic approaches, recovery trajectories, and factors influencing outcomes. Her work spans biomechanics, mental health considerations in sports injuries, and innovative approaches to injury prevention across various athletic populations. Her scientific recognition includes: Election as Fellow of the American College of Sports Medicine (2003), becoming the second female pediatrician ever elected Election as Fellow of the American Medical Society of Sports Medicine Distinguished Alumni Award from The New Aurora High School Alumni (1999) Invitation to serve as volunteer physician for the Olympic Training Center (2008) Multiple expert contributions to national media including Runner's World and the Naperville Sun Dr. Benjamin actively mentors through her coaching roles at high school and collegiate levels, emphasizing safe return-to-play post-injury and injury prevention. She has developed educational content through video productions for the American Academy of Pediatrics and serves as head team physician for the University of Chicago Lab School and the NCAA Division III UChicago Maroons. Notably, she is one of only a few sports medicine specialists in the country offering diagnostic and procedural musculoskeletal ultrasound in her office, demonstrating her commitment to advanced diagnostic capabilities for patient care.
Giulio Jacucci is a Professor in the Department of Computer Science at the University of Helsinki, affiliated with the Helsinki Information Technology Research Institute. He serves as a Supervisor in the Doctoral Programme in Computer Science, mentoring PhD candidates in human-computer interaction and related fields. His academic career spans over two decades with continuous research productivity from 2006 through 2025. Professor Jacucci's research interests center on Human-Computer Interaction , particularly focusing on Virtual Reality , Brain-Computer Interfaces , and Neuroadaptive Systems . His work explores how technology can adapt to users' cognitive and physiological states, with significant contributions to social virtual reality environments, embodied agents, and information retrieval systems. He investigates how virtual representations affect social behavior, time perception, and communication in digital spaces. His publication record shows a clear evolution from foundational work in information retrieval toward increasingly sophisticated neuroadaptive systems. Recent publications (2024-2025) demonstrate his leadership in examining social dynamics within virtual reality platforms, including votekicking mechanisms, mirror watching behaviors, and communication tools like mutes. His work bridges technical innovation with deep understanding of human social behavior in digital environments. Professor Jacucci currently leads multiple research projects funded by the Academy of Finland, including DataLit: Datalukutaito ja vastuullinen päätöksenteko (2023-2026) and MyModel: Selitettävyys suositusten hallinnassa (2023-2027). These projects focus on data literacy, responsible decision-making, and explainability in recommendation systems, reflecting his commitment to ethical and user-centered technology development. His research has received media attention, particularly around brain-computer interfaces and virtual reality applications, with coverage in outlets discussing how deep learning transforms mobile applications and sensor landscapes. He has presented his work at major conferences including CHI 2017 and continues to be an active contributor to the international research community.
Takako Fujioka is an Associate Professor of Music at Stanford University, affiliated with the Center for Computer Research in Music and Acoustics (CCRMA). Her research focuses on the neural mechanisms underlying auditory perception, auditory-motor coupling, and music-supported therapy for neurorehabilitation. She holds a Ph.D. in Physiology from the Graduate University for Advanced Studies, Japan, and M.Sc./B.Eng. degrees in Electrical Engineering from Waseda University. Her work combines neurophysiological techniques such as MEG and EEG to study brain plasticity in development, aging, and stroke recovery. Notable contributions include investigating how music influences motor and cognitive recovery in stroke patients, as well as exploring the neural basis of musical perception through rhythmic synchronization and pitch discrimination studies. Supported by awards from the Canadian Institutes of Health Research during her postdoctoral work at the Rotman Research Institute, her research bridges clinical neuroscience and music cognition. Dr. Fujioka’s expertise spans auditory neuroscience, neurorehabilitation, and technology-assisted music therapy. She has pioneered studies on tactile mapping for cochlear implant users and networked music performance systems, emphasizing cross-modal perception and human-technology interaction. Her findings contribute to both theoretical understanding of auditory processing and practical applications in medical and educational settings. Awards: Canadian Institutes of Health Research Awards (postdoctoral phase) Labs/Teams: CCRMA, Stanford Music Perception Laboratory, Rotman Research Institute collaborations Key Themes: Neuroplasticity, Music-Mediated Rehabilitation, Auditory-Motor Integration, Multisensory Processing Her recent work examines aging-related changes in binaural hearing and the role of beta/gamma oscillations in rhythmic processing. She advocates for translational research that connects neural mechanisms with real-world therapeutic interventions.
Ana Vives-Rodriguez, MD is an Assistant Professor of Neurology at Yale School of Medicine. She specializes in movement disorders and cognitive-behavioral neurology, caring for patients with Parkinson's disease, tremor, tics, dystonia, Alzheimer's disease, Dementia with Lewy bodies, and frontotemporal dementias. Based at Yale Physicians Building in New Haven, Connecticut, she provides both in-person and telehealth services to adult patients, accepting new patients without requiring referrals. Dr. Vives-Rodriguez's educational background includes: BS and MD from University of Costa Rica (2009), graduating Magna Cum Laude Residency at University Costa Rica/Calderon Guardia Hospital (2014) Clinical Fellowship in Movement Disorders at Yale New Haven Hospital (2018) Advanced Fellowship in Cognitive Behavioral Neurology at Boston University/VA Medical Center (2022) Her primary research interests focus on the behavioral and cognitive aspects of movement disorders and the early diagnosis of neurodegenerative disorders . Dr. Vives-Rodriguez examines structural and functional brain changes in conditions like Parkinson's disease, Wilson's disease, and Alzheimer's disease and their relation to clinical manifestations. Her work bridges clinical practice with translational neuroscience to improve diagnostic approaches and patient outcomes in complex neurological conditions. Analysis of her publications from 2017-2021 reveals a strong focus on movement disorders, cognitive impairment, and neuroimaging. Her research spans clinical observations of movement phenomena like index finger pointing and writing tremor, structural and functional brain changes in Wilson's disease, and innovative approaches to medical education in movement disorders. A recurring theme is the intersection between movement disorders and cognitive function, highlighting her dual expertise in both specialties. Dr. Vives-Rodriguez serves as a Sub Investigator for the Cognitive Training in Parkinson's Disease clinical trial (HIC ID 2000033352), which is recruiting participants aged 40+ through 2027. While specific grant funding isn't detailed in the available information, her active research program suggests ongoing support for her work in neurodegenerative disorders. She is affiliated with Yale's Movement Disorders and Neurodegenerative Disorders divisions, working within the Department of Neurology at Yale School of Medicine. Her clinical work at Yale Physicians Building integrates the latest research findings into patient care while contributing to the academic mission through teaching and scholarly activities.
Pascal Mettes is a tenured Assistant Professor at the University of Amsterdam within the Informatics Institute, specializing in Artificial Intelligence. He leads groundbreaking research in hyperbolic deep learning, a field he has significantly advanced through theoretical developments and practical applications in computer vision and multimodal learning. His research focuses on three primary domains: hyperbolic vision-language models that address the hierarchical nature of language-vision relationships; hierarchical deep learning using hyperbolic embeddings that naturally accommodate exponential growth patterns; and robust deep learning in hyperbolic space that improves out-of-distribution detection and network resilience. Mettes has established himself as a leading figure in this emerging field through numerous publications at top-tier conferences including CVPR, ICCV, ICML, NeurIPS, and ICLR. His recent work demonstrates how hyperbolic geometry provides natural solutions to fundamental limitations in modern deep learning, particularly regarding hierarchical data structures that cannot be adequately represented in Euclidean space. The publication trends show increasing impact and recognition in the computer vision and machine learning communities, with multiple papers receiving oral presentations and best paper nominations. Best paper nomination ESWC25 for 'Designing Hierarchies for Optimal Hyperbolic Embedding' Finalist MM 2023 Best Open-Source Software Competition (for HypLL) Multiple reviewer awards across major conferences including CVPR, ICLR, ECCV, ICML, and NeurIPS MM 2016 Best Doctoral Student Award TRECVID 2015 Winner Multimedia Event Detection Benchmark Mettes actively mentors eight PhD students working on hyperbolic learning and related topics, while also securing significant research funding including ELLIs PhD Award, NWO ClickNL, Google Perception Academic Funding, and Data Science Centre PhD Grants. He serves in prominent academic roles as Program Chair for International Conference on Multimedia Retrieval 2026 and has organized multiple workshops on hyperbolic learning at major conferences. His leadership in establishing hyperbolic deep learning as a recognized research direction is evident through his survey paper in IJCV 2024 and the development of the HypLL library for hyperbolic learning.
Kay James is an Associate Professor of Neuroscience and Education at Teachers College, Columbia University, and serves as Director of the Graduate Program in Neuroscience and Education and the Neurocognition of Language Lab. Their work focuses on neural mechanisms underlying language disorders, second language acquisition, and cognitive processes in schizophrenia. Key affiliations include Biobehavioral Sciences, Neuroscience and Education, Human Development, and Cognitive Science in Education. Research interests emphasize the neural basis of language processing in pathological contexts such as developmental speech disorders and schizophrenia, alongside second language acquisition in adults. Their interdisciplinary approach bridges cognitive neuroscience with clinical and educational interventions. Publications span studies on mismatch negativity in speech disorders, syntactic development in Arabic diglossia, and brain-behavior asymmetry in schizophrenia. Ongoing work explores voice-related cortical potentials and emotional face processing through electrophysiological methods. Labs and teams include the Neurocognition of Language Lab, focusing on language neurobiology and clinical applications. Grants and advising roles are not explicitly detailed in the provided materials.
Prof. Zeynep Altintas is a Full Professor (W3) at the Faculty of Engineering, Kiel University, where she holds the Chair of Bioinspired Materials and Biosensors within the Institute of Materials Science since 2022. She leads cutting-edge research at the intersection of materials science, biosensing, and computational design of functional materials for biomedical applications. Her research focuses on developing novel biosensing platforms using in silico designed functional materials for medical diagnostics, environmental monitoring, and food safety analysis. She has pioneered approaches in epitope-mediated imprinting, nanoMIP biosensors, and lab-on-a-chip sensing technologies. Her work bridges computational modeling with experimental validation to create high-affinity synthetic receptors for disease biomarkers. Prof. Altintas has received numerous prestigious accolades including the Life Outstanding Investigator Award for Women (2022), The Aventis Life Sciences Bridge Award with 100,000 euros prize money (2021), and recognition on Stanford University's Top 2% Scientists List (2021 and 2022). These awards reflect her significant contributions to advancing biosensor technology and materials science. She serves in editorial roles for high-impact journals including Biosensors and Bioelectronics (Elsevier), Scientific Reports (Nature), and Micromachines (MDPI). Her research has been supported by competitive funding including a Marie Curie Individual Fellowship (2016-2018) and various British Council travel grants. She has organized international scientific events and served on multiple conference committees. Prof. Altintas leads the Biomaterials and Biosensors Working Group at Kiel University, which is actively engaged in projects related to biomagnetic sensing, materials for brain applications, and cooperative actuator systems for nanomechanics. Her research group collaborates internationally across Europe, Turkey, and the UK, addressing critical challenges in healthcare diagnostics through interdisciplinary approaches.
Institute for Bioengineering of Catalonia (IBEC)Spain
Prof. Raimon Jané Campos is a leading figure in biomedical signal processing at the Universitat Politècnica de Catalunya (UPC) and Universitat de Barcelona (UB). As co-director of UPC's Biomedical Signal and System Group (CREB) and coordinator of the Biomedical Engineering PhD Programme, he bridges engineering and clinical applications. His work focuses on respiratory and sleep disorder diagnostics, with significant contributions to COPD and sleep apnea monitoring through wearable devices and machine learning. PhD in Biomedical Engineering (UPC, 1989) Visiting researcher at Université de Nice-Sophia Antipolis Vice-president of Spanish Society of Biomedical Engineering Research spans respiratory mechanics , sleep-disordered breathing , acoustic biomarkers , bioimpedance , and machine learning in biomedical contexts . His 2025 work on microcalorimetric pathogen classification and 2024 spiking neural networks for apnea detection demonstrate cutting-edge integration of computational methods with physiological monitoring. Articles from 2017-2024 reveal consistent focus on non-invasive diagnostics , cardiorespiratory synchronization , and smartphone-based health solutions . Awarded the Barcelona City Technology Research Award (2005) and serving on the International Advisory Board for Physiological Measurement since 2010, his career combines academic leadership with real-world clinical translation through IBEC's technology transfer initiatives.
Prof. Stephen Mayhew is a Professor at Aston University's School of Life & Health Sciences, affiliated with the College of Health and Life Sciences. He leads the Cognition & Neuroscience Research Group (CNRG) and contributes to the Aston Research Centre for Health in Ageing. His research focuses on multimodal neuroimaging (EEG/fMRI/MRI/MEG) to study brain activity in health and cognition, particularly negative BOLD responses and their role in neural inhibition and behavior. Recent work includes investigating task-demand effects on BOLD responses, brain state dynamics during rest, and neurovascular coupling methods. Education & Affiliations: Affiliated with Aston University's School of Life & Health Sciences Member of CNRG and Health in Ageing Centre Research Interests: His work explores collaborative/antagonistic brain networks, lifespan changes in brain function, and the functional significance of negative BOLD responses. Techniques include fMRI, EEG, and advanced neuroimaging analysis methods like fractal dimension and laminar 7T MRI. Key Contributions: Published over 30 peer-reviewed articles on neuroimaging and brain networks Systematic reviews on neurovascular coupling and transcranial Doppler methods Labs & Teams: Active in CNRG and collaborates across disciplines in health sciences and bioengineering.
Dr. Jason Yi is an Assistant Professor of Neuroscience at Washington University School of Medicine (WashU Medicine). His research focuses on understanding the molecular pathways that shape nervous system development and function, with particular emphasis on autism spectrum disorders (ASD). He leads the Yi Lab, which investigates the role of the ubiquitin ligase UBE3A in the brain and its implications for neurodevelopmental disorders. Dr. Yi received his BS in Biochemistry and Molecular Biology from Dickinson College in 2001 and his PhD in Pharmacology from Duke University in 2009. His laboratory is broadly interested in the molecular pathways that shape nervous system development and function, with the ultimate goal of understanding how dysfunction in these pathways contributes to disease. The current focus is on autism spectrum disorders (ASD), using genetic information from human patients to guide in vitro and in vivo experiments employing biochemical, genetic manipulation, cell biological, and microscopy techniques. Dr. Yi's research has significant clinical implications, particularly in understanding how UBE3A dysfunction relates to both Angelman syndrome (caused by lack of UBE3A activity) and autism (caused by excessive UBE3A activity). His lab discovered that a single phosphorylation event in UBE3A turns off its ubiquitin ligase activity, and that mutations in this site are linked to autism. This work bridges disease genetics with a mechanistic understanding of ASD neurobiology and aims to define developmental timepoints for ASD onset. Dr. Yi's research has been recognized with numerous prestigious awards: Ruth K. Broad Biomedical Research Foundation Predoctoral Fellowship (2006) F32 Kirschstein National Research Service Award (2011) Christina Castellana Postdoctoral Fellowship (2011-2014) The University of North Carolina Postdoctoral Award for Research Excellence (2015) Bridge to Independence Award, The Simons Foundation (2017) NARSAD Young Investigator Award, Brain and Behavior Research Foundation (2018) Whitehall Foundation Research Grant (2018) Alfred P. Sloan Foundation Research Fellowship (2019) Dr. Yi's research program is supported by significant grant funding from organizations including The Simons Foundation, Brain and Behavior Research Foundation, and the Whitehall Foundation. His work bridges basic molecular neuroscience with clinical implications for neurodevelopmental disorders, particularly autism spectrum disorders. Through his research, Dr. Yi is contributing to a deeper understanding of the molecular mechanisms underlying ASD, which may ultimately lead to new therapeutic approaches and interventions. The Yi Lab maintains a collaborative research environment focused on cutting-edge neuroscience techniques. The lab combines molecular, cellular, and genetic approaches to study UBE3A function and its role in neurodevelopment. Their work utilizes patient-derived genetic information to guide experimental approaches, ensuring clinical relevance to autism spectrum disorders. Dr. Yi is also actively involved in mentoring graduate students and postdoctoral fellows, contributing to the training of the next generation of neuroscientists.
Marta Kutas is a Distinguished Professor in the Department of Cognitive Science at the University of California, San Diego (UCSD), where she has held roles including Department Chair (2007–2019), Director of the Center for Research in Language (2007–2022), and Chancellor's Associates Endowed Chair (2017–2022). Her research focuses on language processing, neuropsychology, and electrophysiological methods, with a particular emphasis on event-related potentials (ERPs). She has contributed significantly to understanding semantic integration, memory, and neural mechanisms underlying language comprehension. Education includes a B.A. from Oberlin College (1971) and a Ph.D. in Psychology from the University of Illinois (1977). She has held adjunct roles at San Diego State University and the UCSD Department of Neurosciences. Her awards include the Revelle Medal (2023), membership in the American Academy of Arts and Sciences (2018), and the Cognitive Neuroscience Society's Distinguished Career Award (2015). Her research interests span language comprehension/production, neuropsychology, and ERP methodologies. Key publications analyze semantic processing, memory-related brain potentials, and the impact of individual knowledge on word processing. She has collaborated on studies involving Alzheimer's, Parkinson's, and schizophrenia, using ERPs to explore cognitive deficits.
Dimitris N Kiosses serves as Professor of Psychology in Psychiatry at Weill Cornell Medical College's School of Medicine since 2021. His academic affiliations center within the Department of Psychiatry with a focus on geriatric mental health services and research. His educational background includes a B.S. from Tufts University (1992), M.A. (1994), and Ph.D. (1999) from Adelphi University, establishing his foundation in clinical psychology with specialization in geriatric populations. Dr. Kiosses' research primarily investigates late-life depression, suicide prevention in older adults, and cognitive-behavioral interventions for comorbid conditions. His work emphasizes Problem Adaptation Therapy (PATH) development and implementation, particularly for depressed elders with cognitive impairment or chronic pain. Recent publications demonstrate growing focus on digital mental health tools, ecological momentary assessment, and international applications of geriatric interventions. His studies frequently examine emotion regulation mechanisms, neurocognitive correlates of depression, and implementation science approaches for real-world settings. Analysis of his 15 most recent publications reveals consistent thematic progression toward transdiagnostic approaches for late-life mental health, with increasing emphasis on technology-enabled interventions, cross-cultural adaptation, and precision medicine applications. The work spans clinical trials, implementation studies, and neurobiological investigations, predominantly targeting depression-suicide pathways in aging populations. Dr. Kiosses maintains active research mentorship through his leadership of multiple NIH-funded projects. His grant portfolio demonstrates particular strength in securing R01-level funding from NIMH and NIA for innovative geriatric mental health interventions. As Principal Investigator, he directs the Problem Adaptation Therapy research program which has evolved from home-based depression treatment (PATH) to specialized adaptations including PATH-Pain and suicide prevention applications. His work increasingly incorporates digital health components and focuses on implementation within primary care and community settings.
Satoshi Miyazaki is a Professor at Waseda University's Graduate School of Japanese Applied Linguistics and affiliated with the Faculty of International Research and Education . With a Ph.D. from Monash University, his work bridges Japanese language education, second language acquisition, and cross-cultural communication. Education Background: Doctor of Philosophy (Japanese Applied Linguistics) - Monash University (1997) Graduate School of Japanese Applied Linguistics - Waseda University (1982) Research Interests focus on Japanese language pedagogy, natural acquisition mechanisms, and interactional strategies for non-native learners. His innovative use of Eye Mark Recorders (EMR) and Event-Related Potentials (ERP) has advanced understanding of cognitive processes in language learning. Recent Articles (2011-2001) reveal trends in Japanese language education reform, cross-cultural learning challenges, and technology-enhanced teaching methods. Key themes include correctional language programs for foreign inmates, immersion environments, and brain processing studies using advanced neuro-linguistic techniques. Research Projects have received continuous funding from Japan Society for the Promotion of Science, including prison language education programs, foreign care worker competence frameworks, and EMR-based lecture comprehension analysis. His work extends to international collaborations with institutions in Australia, the U.S., and Europe.
