George Vairaktarakis is a Professor at the Department of Operations, Weatherhead School of Management, Case Western Reserve University. His research focuses on subcontracting, production chain coordination, and project management, with impactful findings reducing production costs by 30% while improving service efficiency. He holds the William E. Umstattd Professorship in Industrial Economics and serves as Director of the Master of Science in Management - Operations Research and Supply Chain Management program. Education: PhD in Operations (University of Florida, 1994) MSc in Industrial Engineering (University of Florida, 1992) MSc in Applied Mathematics (University of South Carolina, 1990) BS in Applied Mathematics (University of Patras, 1988) Vairaktarakis investigates time/cost-sensitive project management, third-party logistics, and workforce planning using mathematical models like integer programming and game theory. His work addresses decentralized production coordination, contract design for subcontracting, and resource flexibility in manufacturing systems. His publications span top journals including Management Science, Operations Research, and Naval Research Logistics. Key research trends include optimization of outsourced operations, game-theoretic analysis of supply chain collaboration, and robust scheduling methodologies. His editorial roles include Senior Editor at Production & Operations Management and Associate Editor at Naval Research Logistics. Awards: William E. Umstattd Professorship (2014), Alcoa Teaching Excellence Award (2013) Teaching: Developed Lean Operations and project management courses for MBA/executive programs globally Service: Held leadership roles in Faculty Council, Academic Integrity Office, and editorial boards
Hiroyuki Sato is a Professor at Waseda University's Faculty of Education and Integrated Arts and Sciences, School of Education. He has held this position since April 2022, having previously served as Associate Professor at the same institution from September 2020 to March 2022. His academic journey includes faculty positions at University of Yamanashi and Saga University, with earlier experience as a junior high school teacher at Takehaya Junior High School attached to Tokyo Gakugei University and Toko Gakuen Junior and Senior High School. Dr. Sato earned his Doctor of Education from Tokyo Gakugei University (2003-2006) and his Master of Education from Yokohama National University. His educational background forms the foundation for his expertise in science education and teacher development. His research interests focus on children's conceptual understanding in science, particularly examining how students develop scientific concepts across physics, biology, and chemistry domains. He investigates children's naive conceptions, metacognitive strategies in science learning, and innovative teaching approaches that address common misconceptions. His work bridges theoretical understanding with practical classroom applications. Dr. Sato's publication record demonstrates consistent scholarly contributions to science education, with particular emphasis on metacognitive regulation, information processing in science learning, and teacher education. His research often involves collaborative investigations with colleagues across Japanese institutions, resulting in numerous publications in leading Japanese science education journals. Japan Society for Science Education Paper Award (2020) for research on children's information selection in science learning Dr. Sato has secured multiple research grants from the Japan Society for the Promotion of Science, including projects on information selection in science learning, development of science class composition support systems, and rhetoric to develop scientific thinking abilities. His research has direct implications for science curriculum development and teacher education programs. His work group focuses on collaborative science education research, examining children's scientific understanding through empirical classroom studies and developing practical teaching strategies based on these findings.
Professor Mark Lythgoe is a distinguished academic at University College London (UCL), where he serves as Professor of Biomedical Imaging in the Department of Imaging within the Faculty of Medical Sciences. He is the Founder and Director of the Centre for Advanced Biomedical Imaging (CABI) at UCL, a multidisciplinary research center hosting 12 state-of-the-art imaging modalities and 50 researchers. Additionally, he is Co-Director of the UCL Department of Imaging and Director of Biomedical Imaging Research at the Francis Crick Institute. Mark Lythgoe earned his Doctor of Philosophy from University College London in 1999 and his Master of Science from the University of Surrey in 1993. Professor Lythgoe has a long-standing track record in the development and application of biomedical imaging techniques, with research spanning from fundamental imaging science to clinical applications. His work focuses on advancing imaging technologies for biomedical research and clinical practice, with particular emphasis on neuroimaging, molecular imaging, and the application of imaging to understand neurological disorders and cancer. He has translated his research findings into clinical radiological practice and established training programs in biomedical imaging. His extensive publication record demonstrates consistent innovation across imaging modalities, with recent work increasingly focused on the glymphatic system in neurological disorders, advanced tumor imaging techniques, and the development of novel imaging technologies for both preclinical and clinical applications. His research bridges engineering, physics, biology, and clinical medicine to solve complex biomedical challenges. Professor Lythgoe's significant contributions to the field have been recognized with numerous prestigious awards: IET Achievement Medal (2023) - for major and distinguished contribution in Medical Imaging Royal Society of Medicine Ellison-Cliffe Award (2021) - for contribution of fundamental science to the advancement of medicine Davies Medal from the Royal Photographic Society (2013) - for significant contribution to imaging science Alumni Achievement Award from the University of Salford Neuroscience Prize for Public Understanding from the British Neuroscience Association Dorothy Hodgkin Award Biosciences Federation Science Communication Award Fellow of the British Science Association Professor Lythgoe has secured substantial research funding, with £45 million awarded for his collaborative imaging research program. He is deeply committed to training the next generation of imaging scientists, serving as Co-Director of the MSc in Advanced Biomedical Imaging and Co-Founder of the UCL Centre for Doctoral Training in Medical Imaging. His public engagement efforts include directing the Cheltenham Science Festival, which has become one of the largest science festivals in the world. As Director of the Centre for Advanced Biomedical Imaging, Professor Lythgoe leads a vibrant research team of 50 researchers working across 12 state-of-the-art imaging modalities. His center fosters interdisciplinary collaboration between engineers, physicists, biologists, and clinicians to develop and apply cutting-edge imaging technologies. He has published over 300 papers including publications in Nature, Nature Photonics, Nature Medicine and The Lancet, demonstrating the high impact of his research across multiple disciplines.
Alison M. Buttenheim serves as CHIBE's Scientific Director and holds dual professorships at the University of Pennsylvania: as a Professor in the Department of Family and Community Health at the School of Nursing and as a Professor in the Department of Medical Ethics and Health Policy at the Perelman School of Medicine. She also directs engagement efforts at Penn LDI, demonstrating leadership across multiple institutional platforms. Dr. Buttenheim is a leading public health scholar and behavioral scientist whose research addresses persistent behavior change challenges in public and global health. She applies behavioral economics and behavioral public policy frameworks to design, test, and scale innovative interventions for preventing and mitigating infectious diseases. Recognized globally as an expert in vaccine acceptance and behavioral design, she co-directs Penn's Behavioral Economics and Global Health Insights (BEGIN) Lab with Dr. Harsha Thirumurthy. Her work extends internationally through Indlela, a pioneering 'nudge unit' supporting HIV service delivery innovations in South Africa, where she serves as the Behavioural Science Technical Design Lead. Analysis of Dr. Buttenheim's recent publication record reveals a strong emphasis on vaccine acceptance, infectious disease prevention, and behavioral interventions in global health contexts. Her research spans public health, behavioral science, and global health implementation, with recurring themes including addressing vaccine hesitancy, designing effective health communication strategies, and applying behavioral economics principles to improve health outcomes in resource-limited settings. Her work demonstrates consistent methodological rigor with applications across diverse populations and health challenges. Co-director, Penn's Behavioral Economics and Global Health Insights (BEGIN) Lab Behavioural Science Technical Design Lead, Indlela (nudge unit for HIV service delivery in South Africa) Scientific Director, CHIBE Director of Engagement, Penn LDI
Dr. Marc A. Adams serves as the Assistant Dean of Education and Interim Program Director of the MPH in the School of Technology for Public Health at Arizona State University, while also holding a Professor position in the College of Health Solutions. He maintains additional affiliations with the Institute for Social Science Research as both a faculty member and Affiliated Faculty, and serves as a Senior Global Futures Scientist within the Global Futures Scientists and Scholars program. His academic leadership spans multiple institutional units focused on public health innovation and research. Dr. Adams' educational background includes a PhD in Public Health from the University of California, San Diego and San Diego State University (2009), an MPH in Public Health from San Diego State University (2003), a BA in Psychology from San Diego State University (2001), and postdoctoral training in Cardiovascular Epidemiology and Prevention at the University of California, San Diego (2011). As a behavioral scientist and epidemiologist, Dr. Adams' research spans the intersection of digital health interventions, physical activity promotion, and behavioral nutrition within diverse neighborhood contexts. His work integrates advanced AI and deep learning techniques to map pedestrian environment features across thousands of US neighborhoods, revealing critical inequities in built environments. He develops and tests interventions that consider how urban planning features interact with behavior change strategies to increase physical activity and healthy eating, particularly among underserved populations. His methodological expertise includes epidemiologic methodology, clinical trial design, and the development of ecological models for understanding behavior-environment interactions. Dr. Adams is an active member of the International Physical Activity and Environment Network (IPEN), contributing to international comparative research on how city design influences physical activity levels across 14 global cities. Dr. Adams' recent publications reveal a strong focus on neighborhood walkability, digital health interventions, and the use of AI to analyze built environments for public health purposes. His research consistently examines how environmental features moderate the effectiveness of physical activity interventions, with particular attention to socioeconomic disparities. The methodological approaches in his work span from traditional epidemiological studies to cutting-edge computer vision applications for analyzing street-level imagery at scale. Dr. Adams has secured substantial research funding from multiple sources including NIH, American Heart Association, and Robert Wood Johnson Foundation. His current projects include "Developing AI-measures of Pedestrian Environment Features for Physical Activity and Cancer Prevention in Rural Communities" (NIH/NCI, $413,673), "PED-PHAM: An Automated and Scalable Spatial Tool" (NIH/NHLBI SBIR, $275,000), and "WalkIT Arizona: Neighborhood walkability and moderation of adaptive interventions for physical activity" (NIH/NCI, $2,620,000). He serves as Principal Investigator on multiple projects while also collaborating as Co-Investigator on large-scale international studies through IPEN. His grant portfolio demonstrates expertise in both intervention development and environmental measurement, with a consistent focus on translating research findings into practical applications for public health practice. Dr. Adams leads research teams focused on developing and validating AI tools for assessing pedestrian environments and testing how these environmental features interact with digital health interventions. His work with the International Physical Activity and Environment Network connects him to a global consortium of researchers examining built environment influences on physical activity across diverse cultural contexts. His laboratory work bridges computer science, public health, and urban planning disciplines to create innovative approaches for measuring and improving neighborhood environments that support healthy behaviors.
Tao Ran is an Associate Professor of Economics at NEOMA Business School in France. She specializes in applied microeconomics with research focusing on corporate social responsibility, public goods provision, charitable giving mechanisms, and gender dynamics in corporate governance. Her work employs both theoretical modeling and empirical analysis to examine how organizational and social factors influence economic decisions. Ran's research has been published in leading journals including the Journal of Business Ethics, International Business Review, and Corporate Governance: An International Review. Her current projects investigate the diffusion of CSR practices through director networks and the value implications of foreign experience among corporate board members. She teaches microeconomics courses at both undergraduate and graduate levels, covering topics such as consumer behavior, market structures, and strategic decision-making in business contexts. Her teaching integrates contemporary research findings with practical business applications.
Tore B. Stage is a Professor and Research Leader at the Institute for Health Services Research (Clinical Pharmacology, Pharmacy and Environmental Medicine) at the University of Southern Denmark. His research focuses on individual variability in drug response, particularly drug interactions and pharmacogenetics, utilizing both in vitro models and clinical trials. Primary research areas: Pharmacogenetics Chemotherapy-Induced Peripheral Neuropathy Pharmacokinetic Modeling Drug Transport Mechanisms Key publications include mechanistic studies of neurotoxicity in cancer patients and translational models bridging in vitro and clinical findings. His work spans immunosuppressants, anticoagulants, and chemotherapeutic agents. Major scientific awards: Lundbeckfondens Talentpris (2017) DFF-Research Talent (2015) ISSX Poster Award (2017) Presidential Trainee Award (2016) Jason Morrow Trainee Award (2016) He supervises PhD students, including Mortensen, C. (2020-2022), on projects exploring chemotherapy-induced neuropathy mechanisms.
Julie Miwa serves as an Associate Professor in the Department of Biological Sciences within the College of Arts and Sciences at Lehigh University. Her research laboratory investigates complex neurobiological processes with a specific focus on the cholinergic system and its regulation through lynx genes. Dr. Miwa's work employs a highly multidisciplinary approach that combines molecular genetics, genetic engineering, electrophysiology, behavioral analysis, and biochemical techniques. Dr. Miwa's research centers on lynx proteins, which function as molecular brakes on nicotinic acetylcholine receptors. Her laboratory generates genetically engineered mouse lines to characterize how these regulatory proteins influence neural function and behavior. Key findings from her research demonstrate that manipulating lynx proteins affects learning capabilities, critical period plasticity, anxiety responses, and neuronal survival. Her work has significant implications for understanding neural adaptation mechanisms and potential therapeutic approaches for neurological conditions. Analysis of Dr. Miwa's publication record reveals a consistent trajectory of research focused on cholinergic regulation, with particular emphasis on lynx proteins and their interactions with nicotinic receptors. Her work spans molecular mechanisms, cellular function, and behavioral outcomes, demonstrating a comprehensive approach to neuroscience research. The publications show increasing sophistication in techniques and expanding applications to understanding neural plasticity, learning mechanisms, and potential relevance to neurological disorders. Dr. Miwa's laboratory actively seeks researchers with expertise in molecular genetics, genetic engineering, behavioral pharmacology, and biochemical techniques. Her research program appears to be well-established with consistent publication output across nearly two decades, indicating sustained funding and productive research operations. While specific grant information isn't provided in the available text, the longevity and productivity of her research program suggest successful grant acquisition and management. The laboratory focuses on investigating how lynx proteins regulate the cholinergic system through multidisciplinary approaches. Current research directions include examining the role of lynx proteins in motor learning, anxiety-related behaviors, and neuronal health during aging. The lab utilizes genetically engineered mouse models combined with electrophysiological, behavioral, biochemical, and microscopic techniques to unravel the complex relationships between molecular regulation and behavioral outcomes.
Dr. Shibiao Wan serves as Assistant Professor in the Department of Genetics, Cell Biology and Anatomy at University of Nebraska Medical Center (UNMC), with a courtesy appointment in Biostatistics. He is Co-Director for the Bioinformatics and Systems Biology (BISB) PhD Program and Assistant Director for the Bioinformatics and Systems Biology Core. With over 14 years of experience in machine learning and bioinformatics, Dr. Wan leads an active research program developing computational methods for biomedical data analysis. Dr. Wan's research spans computational biology and biomedical informatics with focus on single-cell analysis, multi-omics integration, spatial transcriptomics, and cancer research. His laboratory develops AI and machine learning approaches to analyze genomics, transcriptomics, epigenetics, proteomics, metabolomics, and medical imaging data. Key contributions include methods for protein subcellular localization prediction, cancer subtyping, and multi-omics integration for precision medicine applications. His recent publications show a strong trend toward multi-modal data integration for disease diagnosis and subtyping, particularly in cancer (medulloblastoma, leukemia, lung cancer) and neurodegenerative disorders (Alzheimer's disease). His laboratory has developed numerous bioinformatics tools including SHARP for single-cell RNA-seq analysis, RaMBat for medulloblastoma classification, RanBALL for leukemia subtyping, and WIMOAD for Alzheimer's diagnosis. Dr. Wan has received significant recognition including the Springer Nature Editor of Distinction Award (2025), UNMC New Investigator Award (2024), FIRST Award from Nebraska EPSCoR (2023), and the Outstanding Young Alumni Award from HK PolyU (2022). He was named among the top 1% reviewers globally by Clarivate in both 'Cross-Field' and 'Biology and Biochemistry' categories (2019). As Co-Director of the BISB PhD Program, Dr. Wan actively mentors graduate students in bioinformatics and computational biology. His laboratory comprises a multidisciplinary team working at the intersection of computer science, statistics, and biomedical research. Dr. Wan serves as Editor-in-Chief for Current Proteomics and holds editorial positions with numerous high-impact journals including Briefings in Functional Genomics, BMC Bioinformatics, and Frontiers journals. The Wan Lab at UNMC focuses on machine learning and bioinformatics (MLAB), developing computational methods to unravel molecular biological systems using heterogeneous biomedical data. The lab collaborates extensively with scientists in cancer biology, metabolism, immunology, pathology, and developmental biology to translate computational findings into biological insights and potential clinical applications.
Matthew M Nour is a psychiatrist (BM BCh MRCPsych) and neuroscientist (PhD) holding an NIHR Clinical Lectureship (equivalent to Assistant Professor) in the Department of Psychiatry at the University of Oxford. His research bridges cognitive science, computational neuroscience, and mental health, focusing on neural mechanisms underlying psychosis and schizophrenia through advanced neuroimaging and computational modeling techniques. His academic training includes: Medicine, Neuroscience, and Philosophy at the University of Oxford (2006–2012) PhD in Cognitive and Computational Neuroscience at University College London (2018–2022), supervised by Prof Ray Dolan (UCL) and Prof Zeb Kurth-Nelson (DeepMind) Dr. Nour investigates how the brain constructs 'cognitive maps' for environmental inference and outcome prediction, with specific emphasis on dopamine's role in decision-making/memory and schizophrenia pathophysiology. His work integrates functional MRI, multivariate neural decoding, and computational modeling to translate neuroscience findings into clinical psychiatry applications, particularly in psychotic disorders. His publication record shows consistent methodological evolution from dopamine-receptor neuroimaging (eLife 2019) to computational psychiatry approaches analyzing semantic trajectories in schizophrenia (PNAS 2023), reflecting a trajectory toward AI-driven mental health diagnostics. Key recognitions include: Wellcome Trust Clinical PhD Fellowship (2018) NIHR Clinical Lectureship in Psychiatry (2022) As a clinical academic, he secures competitive national research funding while maintaining active clinical psychiatry practice. His GitHub repositories demonstrate leadership in developing open computational tools for neuroscience research, though no formal advisees are publicly documented. Current projects focus on technological applications for understanding collective delusions ('technological folie à deux') and neural oscillation modeling. His work operates at the critical intersection of clinical psychiatry, cognitive neuroscience, and artificial intelligence, with growing emphasis on computational approaches to mental health diagnostics and treatment development.
Professor David Bacon is a leading academic in cosmology and astrophysics at the University of Portsmouth's Faculty of Technology, serving as Director of the Institute of Cosmology & Gravitation (ICG). His research focuses on cosmology at radio wavelengths, gravitational lensing, and theories of gravity, with significant contributions to dark matter and dark energy studies. Education : PhD in Natural Sciences from the University of Cambridge (2002) Appointments : PPARC/STFC Fellow (2002–2004), University of Edinburgh; Senior Research Fellow/RCUK Academic Fellow (2007), University of Portsmouth; Professor (2018–present) His work leverages data from major surveys like the Dark Energy Survey (DES), Atacama Cosmology Telescope (ACT), and Euclid mission, employing techniques such as weak lensing , galaxy clustering , and machine learning . Recent publications analyze dark energy constraints , galaxy cluster profiles , and cosmological parameter estimation using FRBs and supernovae. Scientific Awards : PPARC Research Fellowship (2002) STFC Advanced Fellowship (2004)
Jeremiah Lim is a Senior Lecturer at the School of Allied Health within the Department of Optometry and Vision Science at The University of Western Australia. He holds a PhD in Neuroscience from the University of Melbourne, specializing in Alzheimer’s disease ocular phenotypes, and has additional qualifications in optometry and education. His research focuses on neurodegenerative diseases (Alzheimer’s/Parkinson’s), retinal imaging , and biomarkers , with particular emphasis on translating ocular findings to broader neurological insights. Key projects include retinal hyperspectral imaging in disease models and improving eye health literacy in disadvantaged communities. Recent work emphasizes mouse models for studying neurodegeneration, electrophysiology , and gene therapy applications. Lim has authored over 25 peer-reviewed articles, with notable contributions to retinal biomarker development and clinical optometry practices. Awards: Alexander-Guelma Clinical Fellow in Neuroscience (2019), Eberhard Dodt Memorial Award (2016) Grants: Perth Eye Foundation (2024–2027), Diabetes Research Foundation of WA (2024–2025) His interdisciplinary approach bridges optometry, neuroscience, and clinical practice, aiming to advance early disease detection and patient care strategies.
Craig Lygate is an Associate Professor of Cardiovascular Physiology at the University of Oxford's Division of Cardiovascular Medicine, leading the 'Cardiac Energetics and Integrative Physiology' research group funded by the British Heart Foundation. His work focuses on understanding cardiac energy metabolism's role in health and disease, particularly exploring therapies for ischaemia and heart failure. He heads the Murine Cardiac Phenotyping Laboratory, using clinical techniques like echocardiography and MRI to assess genetically modified models. Education includes a BSc (Hons), MRes in Biological Sciences (University of Manchester), and a PhD in Cardiovascular Physiology (University of Glasgow). His research combines biochemical assays, cell culture, and collaborative approaches such as genomics and metabolomics, with a current emphasis on the creatine transporter and homoarginine's therapeutic potential. Recent articles highlight advancements in nitric oxide delivery systems for cardiovascular applications and the creatine kinase system's role in cardiac energy provision. Collaborations with Chemistry departments target novel treatments for ischaemia-reperfusion injury. No scientific awards are explicitly listed, but his work has been published in high-impact journals like Circulation and Clinical Science . He advises postgraduate researchers (e.g., Hannah Lake) and oversees grants focused on cardiac energetics. His lab integrates translational research, bridging molecular biology with clinical applications, aiming to translate findings into therapeutic strategies for cardiovascular diseases.
Prof. Guy Van Vliet is a Full Professor in the Department of Pediatrics at the University of Montreal and Chief of the Endocrinology Service at CHU Sainte-Justine. He completed medical school at the Free University of Brussels (1976), followed by pediatric residency and a fellowship at UCSF (1980-1983). His research focuses on molecular mechanisms of congenital hypothyroidism, neonatal screening, and pediatric endocrine disorders, with over 220 publications. He has pioneered studies on thyroid disorders in children and contributed to international guidelines for congenital hypothyroidism management. Education: Medical Doctorate (Free University of Brussels, 1976), Pediatric Endocrinology Fellowship (UCSF, 1980-1983). Research Interests: Molecular pathophysiology of congenital hypothyroidism, genetic basis of endocrine disorders in children, neonatal screening efficacy, and long-term outcomes of thyroid hormone replacement. He emphasizes translational research connecting molecular findings to clinical care, particularly in pediatric endocrinology. Key Articles: Focus on improving screening protocols, understanding genetic mechanisms in thyroid disorders, and optimizing treatment strategies for congenital hypothyroidism. Recent work critiques overdiagnosis risks in premature infants and explores redefining diagnostic criteria based on molecular insights. Awards: Not explicitly listed in provided texts. Advising/Grants: Advised numerous students and led collaborative projects on endocrine disorders. Active in clinical trials and guideline development for congenital hypothyroidism. Labs/Teams: Affiliated with the Azrieli Research Center at CHU Sainte-Justine, focusing on pediatric endocrine research and translational medicine.
Dr. Mallik Mahmud is an Assistant Professor at McGill University, leading the Polar Remote Sensing Group. His research focuses on Arctic sea ice dynamics in a warming climate, employing remote sensing and geophysical techniques to study atmosphere-sea ice-ocean interactions. He utilizes advanced radar systems (e.g., L-band, C-band) and machine learning to analyze sea ice properties across local and pan-Arctic scales. His work emphasizes snow-covered sea ice changes and their impact on geophysical parameter retrieval. Academic Background: Ph.D., Department of Geography, University of Calgary, Canada Former Scientist at the Remote Sensing Institute, German Aerospace Center (DLR), Bremen, Germany Research Interests: Arctic sea ice melt processes Microwave remote sensing applications Machine learning for environmental datasets Climate change impacts on polar ecosystems Publications reflect a focus on multi-frequency radar analysis, melt pond dynamics, and synergistic remote sensing techniques. His work integrates field-based measurements with satellite data to improve understanding of Arctic environmental changes. Labs/Teams: Dr. Mahmud directs the Polar Remote Sensing Group, fostering collaborative, field-driven research in the Arctic.
