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Timothy A. BrownView profile

Professor

• Classification of Anxiety and Mood Disorders
• Psychometric Methods
• Structural Equation Modeling
• +3 more

Dr. Timothy A. Brown is Professor Emeritus in Psychological & Brain Sciences at Boston University, where he directs research at the Center for Anxiety & Related Disorders. His expertise spans anxiety/mood disorders classification, temperament-psychopathology relationships, and advanced statistical methodologies. His research focuses on dimensional models of emotional disorders, psychometric evaluation of diagnostic instruments, and structural equation modeling applications. He developed influential frameworks for understanding comorbidity patterns through latent variable modeling. Publications demonstrate consistent themes in psychometric validation, transdiagnostic approaches, and longitudinal modeling of psychopathology. Recent work emphasizes COVID-19 mental health impacts and clinical assessment optimization. Dr. Brown teaches graduate courses in multivariate statistics, including confirmatory factor analysis and structural equation modeling. He authored the authoritative textbook Confirmatory Factor Analysis for Applied Research . He serves as Associate Editor of the Journal of Abnormal Psychology and collaborates internationally on classification systems for emotional disorders.

Susannah LeviView profile

Associate Professor

• Speech Perception
• Language Processing
• Bilingualism
• +3 more

Susannah Levi is an Associate Professor in the Department of Communicative Sciences and Disorders at New York University (NYU), where she also serves as Director of the Undergraduate Program. She holds a doctorate from the University of Washington's Department of Linguistics and completed a postdoctoral fellowship at Indiana University's Department of Brain and Psychological Sciences. Prior to NYU, she taught at the University of Michigan. Her research focuses on spoken language processing, particularly how listener characteristics (e.g., bilingualism, language ability) and speech properties (e.g., talker familiarity, semantic predictability) interact during perception. Key areas include talker recognition, bilingual advantages in voice processing, and applications to clinical populations with language or reading disorders. She directs the Acoustic Phonetics and Perception Lab and has published extensively in journals like the Journal of Speech, Language, and Hearing Research and the Journal of the Acoustical Society of America. Her work explores how familiarity with a speaker's voice enhances comprehension across languages and dialects, as well as acoustic correlates of gender expression in speech. She has investigated phonetic factors influencing talker discrimination and the role of training in improving perception of non-native speech. Levi is also committed to pedagogical innovation, developing undergraduate courses in acoustic phonetics for communication sciences and disorders students. Her research portfolio spans developmental studies (e.g., children's talker processing), clinical applications (e.g., improving speech intelligibility for disordered populations), and methodological advancements in speech perception research. She has contributed to understanding how phonological and lexical cues interact with indexical properties of speech, and her lab employs interdisciplinary approaches combining behavioral experiments, acoustic analysis, and computational modeling.

Philippe ToblerView profile

Professor

• Neuroeconomics
• Social Neuroscience
• Decision Making
• +5 more

Philippe Tobler is a Professor of Neuroeconomics and Social Neuroscience at the University of Zurich's Department of Economics. He leads the Zurich Center for Neuroeconomics and focuses on neural mechanisms underlying decision-making, reward learning, and social behavior. His research employs fMRI, pharmacological interventions, and behavioral methods to investigate how the brain processes economic and social parameters like risk, delay, and probability. Teaching roles include courses such as 'Decision Neuroscience,' 'Introduction to Neuroeconomics,' and 'Neuroeconomics Seminar.' He collaborates extensively with researchers like Ernst Fehr and Christian Ruff, contributing to interdisciplinary studies on social neuroscience and neuroeconomics. Tobler's work examines dopamine's role in value processing, individual vs. social learning systems, and the neural basis of fairness and efficiency trade-offs. His research has implications for understanding psychiatric disorders, aging, and economic decision-making processes.

Svein KleivenView profile

Professor

• Biomechanics
• Traumatic Brain Injury
• Injury Prevention
• +4 more

Svein Kleiven is a Professor and Head of the Division of Neuronic Engineering at KTH Royal Institute of Technology's Digital Futures Faculty. His research focuses on biomechanics, particularly injury biomechanics and the effects of external forces on the human head. He leads interdisciplinary projects involving Karolinska Institutet and RISE, aiming to reduce head injuries through advanced modeling and safety system design. Research Interests: Kleiven's work spans traumatic brain injury (TBI), helmet and pavement safety, finite element modeling, and forensic biomechanics. His team develops personalized human body models (e.g., SAFER models) to simulate real-world accidents and improve injury prevention. Recent projects include studying axonal membrane mechanics via molecular dynamics and optimizing rubberized asphalt for fall protection. Publications: Kleiven publishes extensively on head injury mechanics, sports safety, and computational methods. His 2025 work on axonal membranes and 2024 studies on pedestrian safety exemplify his focus on bridging simulation and clinical applications. Awards: No specific awards listed, but his contributions to safety standards and helmet design are internationally recognized. Collaborates with industries like automotive and sports equipment sectors. Labs/Teams: Leads the Neuronic Engineering Division at Digital Futures, a cross-disciplinary center merging engineering, AI, and healthcare. Involved in EU projects like PIPER and SAFER initiatives.

• Medical Physics
• Radiation Oncology
• Proton Therapy
• +3 more

Sara Margareta Cecilia Pilskog serves as an Associate Professor in the Department of Physics and Technology at the University of Bergen, Norway, with dual affiliation at Haukeland University Hospital's Department of Cancer Treatment and Medical Physics. Her research bridges theoretical medical physics and clinical oncology applications, focusing on precision radiotherapy techniques and biological optimization. Her primary research interests center on proton therapy innovation, where she investigates biological optimization strategies using linear energy transfer (LET) and relative biological effectiveness (RBE) modeling. She develops adaptive radiotherapy frameworks to address inter-fractional motion in pelvic cancers, particularly prostate and rectal malignancies. Her work also pioneers neutron-based in-vivo range verification systems and statistical deformation models for dose accumulation. Current projects emphasize reducing treatment margins through anatomical robustness and optimizing biological dose distributions for organ sparing. Analysis of her 15 most recent publications reveals a dominant focus on improving proton therapy precision for pelvic cancers through biological modeling and motion management. Approximately 70% of her work addresses prostate cancer applications, with significant contributions to adaptive strategies for inter-fractional changes and biological optimization techniques. Her research consistently employs Monte Carlo simulations (particularly FLUKA) and clinical data analysis to translate theoretical models into clinically viable solutions. No scientific awards were documented in the provided materials. While specific advising details remain unreported, her collaborative patterns indicate active mentorship within the University of Bergen's medical physics research ecosystem. Her publications consistently involve junior co-authors from clinical physics teams at Haukeland University Hospital, suggesting hands-on supervision of technical staff and research fellows in radiotherapy innovation projects. Grant funding appears primarily channeled through institutional hospital-university partnerships focused on clinical translation of advanced radiotherapy techniques. Dr. Pilskog operates within the University of Bergen's medical physics research cluster that maintains close operational ties to Haukeland University Hospital's radiotherapy department. This integrated academic-clinical environment enables direct implementation of her research on adaptive proton therapy and biological optimization into clinical workflows, with particular emphasis on pelvic cancer treatment protocols. The team utilizes advanced Monte Carlo simulation platforms and clinical treatment planning systems to develop and validate next-generation radiotherapy approaches.

Fabian TheisView profile

Professor

• Artificial Intelligence
• Computational Biology
• Biomedicine
• +3 more

Prof. Dr. Dr. Fabian Theis is a Professor of Mathematics in Systems Biology at the Technical University of Munich (TU Munich) and Director of both the Computational Health Center and the Institute for Computational Biology (ICB) at Helmholtz Munich. He specializes in applying artificial intelligence and machine learning to analyze single-cell sequencing data, modeling cellular behavior, and predicting biological outcomes in health and disease. His work bridges computational methods with clinical applications to advance personalized medicine. Education: Master's Degrees in Mathematics and Physics Doctorates in Physics and Computer Science Research interests revolve around AI-driven biological systems analysis, including cellular interaction modeling, disease mechanism prediction, and translational biomedical research. He coordinates initiatives such as the Human Cell Atlas Analysis Working Group, Single Cell Omics Germany (SCOG), and the Munich School for Data Science (MUDS). His leadership spans roles at HelmholtzAI as Science Director and as a guest scientist at global institutions like RIKEN Brain Science Institute (Japan) and FAMU/FSU (USA). Labs/Teams: Leads the Computational Health Center and chairs the Mathematical Modeling of Biological Systems program at TU Munich. Collaborates with interdisciplinary teams in AI and health research.

Annie E. WertzView profile

Assistant Professor

• Developmental Psychology
• Evolutionary Psychology
• Infant Cognition
• +2 more

Dr. Annie E. Wertz is an Assistant Professor in the Department of Psychological & Brain Sciences at the University of California, Santa Barbara, within the College of Letters & Science. She directs the Lab for Infant Learning and Cognition (LILAC), focusing on cognitive development from an evolutionary perspective. Her research examines how infants and young children develop specialized learning mechanisms for understanding plants, including social learning strategies, threat avoidance, and edible plant identification. Her work integrates experimental studies in lab settings, naturalistic outdoor observations, and cross-cultural collaborations to explore how evolutionary adaptations shape cognitive systems. Key research areas include infant social cognition, food learning, threat perception, and cultural acquisition. Publications demonstrate a consistent focus on infant cognitive adaptations to natural environments, with recent work emphasizing social evaluation, categorization of natural structures, and methodological innovations. Longitudinal studies show how plant-specific learning mechanisms emerge in early development and influence broader cognitive domains. Her contributions have been recognized with the Margo Wilson Award for best paper in Evolution and Human Behavior (2021) and the Don Symons Adaptationism Award (2023). Research projects have received funding from the Max Planck Society and other institutions.

Caroline RobertsonView profile

Associate Professor

• Neuroscience
• Perception
• Memory
• +4 more

Dr. Caroline Robertson is an Associate Professor in the Department of Psychological and Brain Sciences at Dartmouth College. She holds a B.A. from Columbia University, a Ph.D. from the University of Cambridge, and completed postdoctoral training at the Harvard Society of Fellows and MIT. Her lab investigates the interplay of perception, memory, and neurodiversity, particularly in autism. Using advanced techniques like virtual reality (VR), eye-tracking, fMRI, and MR spectroscopy, her research explores how sensory input interacts with cognitive processes in diverse populations. Key research areas include: Constructive nature of visual perception Neural mechanisms of scene perception and spatial memory Neurobiological underpinnings of autism spectrum conditions Role of GABAergic systems in perceptual awareness Her lab emphasizes inclusivity, actively involving neurodiverse individuals in research design. They operate a state-of-the-art VR suite for studying naturalistic environments and collaborate on projects like the Dartmouth Autism Research Initiative. Recent work focuses on retinotopic coding in memory-perception interactions and the impact of perceptual load on social attention in autism. Her team's research has been published in Nature Neuroscience , PNAS , and Current Biology , with a focus on translational insights into neurodivergent experiences.

Marc SchmidtView profile

Professor

• Neurobiology
• Animal Behavior
• Physiology
• +3 more

Marc Schmidt is a Professor of Biology at the University of Pennsylvania's School of Arts & Sciences, co-directing the Biological Basis of Behavior Program. He holds a B.A. in Biology from Swarthmore College (1986) and a Ph.D. in Neuroscience from Colorado State University (1993), followed by postdoctoral work at the California Institute of Technology in Neuroethology (1993–1999). His research focuses on neural mechanisms underlying courtship behaviors in songbirds, particularly the brown-headed cowbird, integrating neurobiology, computational methods, and engineering to study vocal and social displays. Key projects include analyzing neural circuits for vocal production, respiratory control, and female mate choice using a 'smart aviary' equipped with computer vision and wireless neural recording systems. Collaborations span engineering, physics, and other disciplines to track social behavior dynamics and neural activity in naturalistic settings. Research highlights include unraveling the role of the 'song system' in coordinating non-vocal courtship behaviors and linking brain activity to social context. Schmidt's work bridges neural circuitry with behavioral outcomes, emphasizing interdisciplinary approaches to understand complex social interactions. His lab employs advanced tracking systems and computational models to quantify group behavior across breeding seasons, aiming to predict and explain social network dynamics. He teaches courses in cellular/molecular neurobiology and animal behavior, contributing to both undergraduate and graduate education. Publications span vocal motor control, norepinephrine modulation, and social network analysis. His NSF-funded 'smart aviary' project exemplifies translational research, merging engineering and biology to study avian social behavior. Schmidt's contributions advance our understanding of neural mechanisms behind social communication and the evolution of courtship displays in vertebrates.

Christian TetzlaffView profile

Professor

• Computational Neuroscience
• Synaptic Physiology
• Neuromorphic Engineering
• +4 more

Prof. Christian Tetzlaff holds a W2 Professorship at the Department for Neuro- and Sensory Physiology, University Medical Center Göttingen. He leads the Computational Synaptic Physiology group, focusing on integrating computational methods to understand neural systems' principles and translating these into technologies like robotics and neuromorphic engineering. His work spans scales from synaptic protein interactions to large neural networks, leveraging disciplines such as nonlinear dynamics and machine learning. Educational Background: 2009: Diploma in Physics, Georg-August University Göttingen 2013: PhD in Physics (Dr.rer.nat.), Georg-August University Göttingen Research Leadership & Grants: Principal Investigator in EU Horizon 2020 Projects (Plan4Act, ADOPD, Human Brain Project's FIPPA) Lead in DFG-funded SFB 1286 (Quantitative Synaptology) INRC member (Intel Neuromorphic Research Community) BMBF-funded KISSKI project (2022–present) Research Interests: His lab explores synaptic mechanisms underlying learning, memory consolidation via synaptic tagging-and-capture, and neuromorphic hardware implementations. Recent work emphasizes calcium signaling in synapses, memristive devices for synaptic working memory, and robust trajectory generation using neuromorphic chips like Loihi. Affiliations: Co-coordinator of Plan4Act (2017–2021) and active in the Göttingen Graduate Center for Neurosciences (GGNB). Collaborates globally with institutions like the Weizmann Institute and Columbia University. Laboratory: Visit tetzlab.com for lab activities and open-source tools like Plastic Arbor .

Simon GrantView profile

Associate Professor

• Visual Neuroscience
• Binocular Vision
• Amblyopia
• +7 more

Dr. Simon Grant is an Associate Professor in the Division of Optometry and Visual Science at City St George's, University of London. He specializes in visual neuroscience, with a focus on binocular vision and its role in human action control, particularly eye-hand coordination. He joined City University London in 2000 after prior academic roles at Imperial College and Charing Cross & Westminster Medical School. His research centers on understanding how deficits in binocular 3D vision, especially in conditions like amblyopia, affect everyday visually guided tasks such as reaching and grasping. He investigates the neural and perceptual mechanisms underlying these deficits and explores novel therapeutic approaches, including perceptual learning and video-game training, to improve binocular function and motor control in affected individuals. His recent publications highlight a sustained focus on the impact of amblyopia and stereo vision loss on prehension, obstacle avoidance, and gaze control. The research consistently demonstrates that binocular vision provides critical advantages for real-world motor tasks, suggesting a need to shift therapeutic focus from monocular acuity to binocular function recovery. Member, Society for Neuroscience (USA) Member, Applied Vision Association (UK) Dr. Grant has been involved in significant research grants, including projects funded by the Wellcome Trust. He serves as a Senior Research Tutor for PhD students and contributes extensively to teaching undergraduate and postgraduate modules in optometry, including Visual Science and Binocular Vision. His professional activities include presenting at international conferences such as ARVO and the International Lasker Workshop on Amblyopia, as well as media appearances discussing vision science. He leads a research group investigating cortical mechanisms of visual perception and action, collaborating with clinical colleagues at institutions like Moorfields Eye Hospital. His work bridges fundamental neuroscience with clinical applications, aiming to improve functional outcomes for patients with visual disorders.

• Multiple Sclerosis
• Neurology
• Neuropathic Pain
• +7 more

Henrik Boye Jensen is a Clinical Associate Professor at the Department of Regional Health Research, IRS - Sygehus Lillebælt, Forskningsenhed for Neurologi (Kolding), affiliated with the University of Southern Denmark. His work bridges clinical neurology and research, with a strong focus on multiple sclerosis, stroke, and neurorehabilitation. Institution: University of Southern Denmark Department: Department of Regional Health Research Research Unit: Research Unit for Neurology, Kolding Academic Rank: Clinical Associate Professor His research interests center on multiple sclerosis , particularly disease progression, pharmacological treatments, and the role of exercise in neuroprotection. He also investigates stroke rehabilitation and diagnostic challenges in neurological conditions such as Lyme neuroborreliosis. His work frequently employs advanced methodologies including randomized controlled trials , cohort studies , and neuroimaging (MRI) . The 15 most recent articles reflect a strong trend in clinical neuroscience , with emphasis on MS phenotypes , pharmacological interventions , exercise as therapy , and diagnostic accuracy . His publications span high-impact journals in neurology and rehabilitation, demonstrating consistent scholarly output. Scientific Awards: No specific awards listed in the provided text. Henrik Boye Jensen has been actively involved in advising and research projects. He has contributed to at least three supervised works, including a Ph.D. thesis, and is a working partner in the RoboRehab project on stroke rehabilitation. He has participated in multiple collaborative research initiatives and has delivered presentations in both academic and public settings. He is also involved in public discourse through media contributions on neurological health issues. Labs and Teams: He is associated with the Research Unit for Neurology in Kolding and collaborates extensively within the Region of Southern Denmark and with national and international research groups, particularly in MS and stroke research.

Jean Adelina KingView profile

Professor

• Neuroscience
• Chronic Pain Management
• Mental Health
• +7 more

Dr. Jean Adelina King is the Peterson Family Dean of Arts & Sciences and Professor of Biology & Biotechnology at Worcester Polytechnic Institute (WPI). Previously, she served as Vice Provost of Biomedical Research and tenured Professor at UMass Medical School (1994–present). She leads interdisciplinary initiatives in Neuroscience, AI, and Learning Science at WPI while maintaining research on stress-brain interactions. Education: PhD (New York University, 1988), MS (City University of New York, 1982), BS (St. Francis College, 1979) Leadership Roles: NIH Advisory Boards, Co-chair of World Women in Neuroscience, Co-Director Marine Biological Lab-MBL Summer Program Her research focuses on stress impacts on brain/body health, chronic pain, and youth mental health. Notable projects include NIH-funded HEAL Initiative work using AI to optimize mindfulness for pain management. Over 100 peer-reviewed papers and 10 book chapters in neurophysiology underscore her scholarly contributions. Awards: GK50 Healthcare Influencer, Massachusetts Mentorship Citation, Katherine Erskine Award As a diversity advocate, she mentors underrepresented scientists and developed the micro-communities mentorship model. Featured in Nature for her leadership in STEM equity.

• Biomedical Engineering
• Nanotechnology
• Microelectronics
• +5 more

Professor Omid Kavehei is a Professor of Intelligent Microsystems in the Faculty of Engineering at the University of Sydney, serving as Deputy Head of the School of Biomedical Engineering. Previously, he held roles as a Research Fellow at the University of Melbourne and Lecturer at RMIT University. His research focuses on biomedical microsystems, nanotechnology, and brain-inspired hardware for healthcare applications, particularly epilepsy monitoring and seizure prediction. Education: PhD (specific institution not explicitly stated) His work bridges nanoelectronics and healthcare, aiming to develop low-power, brain-inspired devices for sensory perception and medical diagnostics. Key interests include neuromorphic engineering, wearable sensors, and AI-driven medical systems. Awards include the Ramaciotti Biomedical Research Award (2021), Microsoft AI for Accessibility Grant (2019), and multiple teaching/research excellence awards from the University of Sydney. His recent work explores neuromorphic cytometry for cell analysis, edge AI for ECG/EEG diagnostics, and closed-loop neurostimulation systems. Collaborations include the Sydney Nano Institute, Brain and Mind Centre, and industry partners like Microsoft. Current research students are advancing topics like bio-inspired algorithms for seizure detection, hardware-friendly machine learning models, and flexible sensor systems for aquatic environments. Grants include funding for neurophysiology platforms, quantum sensors, and semiconductor design. Labs/teams: Involved in the Centre for Drug Discovery Innovation and collaborations across engineering, neuroscience, and clinical domains.

Joshua RabinowitzView profile

Professor

• Cellular Metabolism
• Chemical Biology
• Metabolic Regulation
• +3 more

Joshua Rabinowitz is a Professor of Chemistry and Director of the Ludwig Princeton Branch at Princeton University. His research focuses on quantitative analysis of cellular metabolism, leveraging advanced mass spectrometry and computational modeling. Key areas include metabolic regulation in microbes (E. coli, yeast), cancer cell metabolism, viral infection impacts, and biofuel production. His lab has pioneered methods to measure metabolites and fluxes, leading to discoveries like novel cancer metabolites and antiviral strategies via fatty acid inhibition. Notable honors include the NIH Pioneer Award and Agilent Thought Leader Award. Research emphasizes systems-level understanding, with projects combining biological experiments, metabolomics, and computation. Recent work explores metabolic heterogeneity in humans, immunotherapy enhancements through metabolic modulation, and metabolic vulnerabilities in cancers like rhabdomyosarcoma. Collaborations include engineering yeast for biofuel production and developing therapeutics targeting metabolic pathways. Lab Website: Rabinowitz Lab Affiliations: Lewis-Sigler Institute for Integrative Genomics, Princeton University Major contributions include identifying metabolic shifts in viral infections, modeling microbial nutrient responses, and advancing technologies for metabolite quantification. Current efforts aim to integrate metabolomic data with enzyme regulation dynamics to predict metabolic networks across organisms.