جست‌وجوی استاد و پژوهشگر

Fabian Theisمشاهده پروفایل

استاد

• Artificial Intelligence
• Computational Biology
• Biomedicine
• +۳ مورد دیگر

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. Wertzمشاهده پروفایل

استادیار

• Developmental Psychology
• Evolutionary Psychology
• Infant Cognition
• +۲ مورد دیگر

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 Robertsonمشاهده پروفایل

دانشیار

• Neuroscience
• Perception
• Memory
• +۴ مورد دیگر

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 Schmidtمشاهده پروفایل

استاد

• Neurobiology
• Animal Behavior
• Physiology
• +۳ مورد دیگر

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 Tetzlaffمشاهده پروفایل

استاد

• Computational Neuroscience
• Synaptic Physiology
• Neuromorphic Engineering
• +۴ مورد دیگر

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 Grantمشاهده پروفایل

دانشیار

• Visual Neuroscience
• Binocular Vision
• Amblyopia
• +۷ مورد دیگر

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
• +۷ مورد دیگر

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 Kingمشاهده پروفایل

استاد

• Neuroscience
• Chronic Pain Management
• Mental Health
• +۷ مورد دیگر

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
• +۵ مورد دیگر

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 Rabinowitzمشاهده پروفایل

استاد

• Cellular Metabolism
• Chemical Biology
• Metabolic Regulation
• +۳ مورد دیگر

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.

Theodore J. Iwashynaمشاهده پروفایل

استاد

• Critical Care Medicine
• Health Services Research
• Sepsis
• +۱۳ مورد دیگر

Theodore J. Iwashyna is a Professor at the University of Michigan in the Department of Health Policy and Management, with a joint affiliation at the Johns Hopkins School of Medicine. He is a dual-trained physician-scientist (MD, PhD) specializing in critical care and health services research, focusing on the long-term impact of severe illness and systemic factors influencing recovery. MD, University of Chicago, 2002 PhD, University of Chicago, 2001 AB, Princeton University, 1994 Dr. Iwashyna's research centers on critical illness survivorship, particularly sepsis and ICU outcomes. He investigates how social, economic, and organizational contexts shape recovery, including cognitive and functional decline, caregiver burden, and financial toxicity. His work has redefined post-ICU care by emphasizing integration of social support and neighborhood factors into treatment planning. His recent publications highlight emerging concerns such as racial bias in pulse oximetry, center-level variation in neonatal outcomes, and tele-triage decision-making. Collectively, his work spans health policy, medical equity, and clinical innovation, with a strong emphasis on data-driven, patient-centered improvements in care delivery. Selected for the 2025 STATUS List, STAT News Member, Association of American Physicians Johns Hopkins Discovery Award Distinguished Mentor Award, University of Michigan Member, American Society for Clinical Investigation (ASCI) Sepsis Hero, Sepsis Alliance American Medical Women's Association Gender Equity Award Fellow, American College of Critical Care Medicine Pulmonary and Critical Care Fellows' Outstanding Educator Award Jerome W. Conn Award for Excellence in Research H. Marvin Pollard Award for Outstanding Teaching Dr. Iwashyna has led numerous federally funded studies using large administrative datasets like Medicare claims to evaluate long-term outcomes after critical illness. He mentors a broad network of trainees and collaborates internationally to improve sepsis care and survivorship. His work on family-centered recovery has influenced clinical guidelines and policy recommendations. He is actively involved in multiple research teams studying ICU recovery, health equity in medical devices, and organizational effectiveness. His lab integrates epidemiology, health services research, and policy analysis to generate actionable insights for clinicians, hospitals, and policymakers.

Joy J Gengمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Attention
• Perception
• +۳ مورد دیگر

Professor Joy J. Geng is a faculty member at the University of California, Davis, where she leads the Integrated Attention Lab. Her research focuses on understanding how goal-directed and sensory-driven information interact to shape perception, with a particular emphasis on attentional control mechanisms. She employs neuroimaging (fMRI), eye-tracking, and electrophysiological techniques to study neural and cognitive processes underlying attentional selection and distractor suppression. Dr. Geng holds a Ph.D. in Psychology from Carnegie Mellon University and a B.A. in Psychology from Cornell University. She teaches courses in Cognitive Neuroscience, Perception, and Current Research in Psychology. Her work has been supported by grants, including a James S. McDonnell Foundation grant for studying memory and attention in virtual reality. Her lab investigates how behavioral goals and prior experiences influence attentional priorities, using methodologies such as virtual reality, EEG/ERP, and collaborations with TMS and pharmacology studies. Recent advancements include exploring multisensory integration, task-adaptive target templates, and distraction mitigation strategies. The lab maintains a supportive environment highlighted in its lab manual and has produced notable alumni across academia and industry. Dr. Geng advises numerous graduate and undergraduate students, many of whom have pursued postdoctoral research or faculty positions. Her contributions to the field include pioneering studies on attentional suppression, template adaptation, and the neural underpinnings of visual search efficiency.

Zhiyi Huangمشاهده پروفایل

دانشیار

• Theoretical Computer Science
• Algorithmic Game Theory
• Online Algorithms
• +۳ مورد دیگر

Zhiyi Huang is an Associate Professor of Computer Science at the University of Hong Kong, leading the Computer Science Division within the School of Computing and Data Science. He holds a PhD from the University of Pennsylvania (2013) and completed a postdoctoral fellowship at Stanford University (2013–2014). His research focuses on Theoretical Computer Science, Algorithmic Game Theory, Online Algorithms, and Differential Privacy, with notable contributions to Machine Learning and Computer Networks. Education: PhD in Computer and Information Science, University of Pennsylvania (2013) Postdoctoral Researcher, Stanford University (2013–2014) Bachelor's Degree from the Yao Class at Tsinghua University (2008) Research interests span foundational areas including algorithmic game theory, online optimization, and privacy-preserving mechanisms. He has pioneered work on revenue maximization in single-parameter settings and developed novel frameworks for analyzing price of anarchy in game theory. Key Awards: Early Career Award (Research Grant Council of Hong Kong, 2014) Best Paper Award at ACM Symposium on Parallelism in Algorithms and Architectures (SPAA 2015) Morris and Dorothy Rubinoff Dissertation Award (2013) Simons Graduate Fellowship in Theoretical Computer Science (2012–2013) Recent grants include studies on algorithmic foundations of Bayesian mechanism design (HK$675,647), online primal dual techniques (HK$496,028), and privacy-preserving mechanisms (HK$931,737). His work bridges theoretical advancements with practical applications in healthcare, autonomous systems, and cybersecurity. Notable Projects: Medical predictive systems for acute cardiopulmonary events AI-driven maritime navigation using AIS data Secure federated learning frameworks with blockchain

• High-Performance Computing
• Parallel Programming
• Domain-Specific Languages
• +۳ مورد دیگر

Wenguang Chen is a researcher affiliated with Tsinghua University and Pengcheng Laboratory , specializing in computer science and high-performance computing . His work bridges theoretical advancements with practical applications in domain-specific languages , parallel programming , and machine learning . Research Interests include: Development of modular DSLs for numerical methods (e.g., Mat2Stencil) Performance optimization in distributed and parallel systems Compiler frameworks for privacy-preserving AI (e.g., FHE-based neural network inference) Graph algorithms scaling to trillion-edge datasets Applications of Rust in memory-safe pointer analysis Recent Publications span 2014–2025, focusing on: Parallelization strategies for supercomputing Compiler automation tools Extreme-scale data processing Performance variance diagnosis in production environments

Alan Pegnaمشاهده پروفایل

دانشیار

• Cognitive Neuroscience
• Clinical Neuropsychology
• Emotional Face Processing
• +۵ مورد دیگر

Associate Professor Alan Pegna is a neuropsychologist at the School of Psychology, University of Queensland, where he has been faculty since 2015. His research focuses on cognitive neuroscience and clinical neuropsychology, with particular expertise in visual and emotional processing using EEG methodologies. Dr. Pegna received his Masters in Psychology from the University of Geneva (Switzerland) followed by a second Masters in Human Physiology from University College London (UK). He completed his PhD at the University of Geneva, where he used brain imaging techniques to study spatial processing in both healthy controls and brain-damaged patients. His research interests center on the neural mechanisms underlying emotional face processing, particularly examining how the brain responds to different facial expressions and variations in perceived approachability and trustworthiness. He has extensive experience working with brain-damaged individuals to investigate the role of specific brain regions in visual and emotional processing. His work frequently employs EEG to measure early neural responses to emotional stimuli under various attentional conditions. Analysis of his recent publications reveals a consistent focus on emotional face processing using EEG methodologies. His work examines how spatial attention, visual awareness, and task relevance modulate neural responses to emotional faces. Key themes include the role of the amygdala in emotional processing, perspective taking in social cognition, blindsight phenomena, and the neural correlates of trustworthiness and dominance perceptions. Dr. Pegna has maintained an active research program since joining UQ in 2015, with over 150 journal articles and 30 conference papers to his name. His work demonstrates strong international collaboration, particularly with researchers in Switzerland and other European institutions. His laboratory specializes in EEG research on visual and emotional processing, with particular expertise in studying both healthy participants and individuals with neurological conditions. Current research focuses on how the brain processes emotional facial expressions under varying conditions of attention and awareness, with implications for understanding social cognition disorders.