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Christopher HarleyView profile

Professor

• Ecology
• Evolution
• Climate Change
• +11 more

Christopher Harley is a full Professor in the Department of Zoology at the University of British Columbia (UBC) since 2005 and a member of the UBC Institute for the Oceans and Fisheries since 2016. His research focuses on understanding how climatic factors (temperature, ocean acidification, salinity) and biological interactions (predation, competition, facilitation) structure coastal marine communities. Education includes a BSc from Brown University (1994) , a PhD from the University of Washington (2001) , and postdoctoral fellowships at Stanford University (2001-2003) and University of California, Davis (2003-2005) . His lab at UBC investigates five priority areas: changing environmental variability, multiple stressors, life-cycle effects, genetic diversity, and interspecific interactions. Recent publications highlight his work on thermal stress, invasive species, and ocean acidification across marine ecosystems. Over 15 years, his research has spanned topics like Seaweed Responses to Climate Change , Sea Otter Impacts on Mussel Beds , and Ocean Acidification Effects on Calcifiers . Notable awards include the Murray A. Newman Award (2017) , Peter Wall Scholar (2016) , and Killam Faculty Research Fellowship (2011) . Key Research Themes Climate Change Impacts on Rocky Coasts Abiotic-Biotic Interaction Dynamics Intertidal Species Distribution Shifts Marine Biodiversity and Ecosystem Function Scientific Awards Murray A. Newman Award for Excellence in Coastal Ocean Research (2017) Peter Wall Scholar (2016) Killam Faculty Research Fellowship (2011) Distinguished Scholar Award (2012) Current Lab Members Graduate Students: G. Hall, S. Johnston, E. Kabanova, K. Ma, S. Park Collaborative Research on Stressors and Community Resilience

Tammy BarryView profile

Professor

• Child externalizing behaviors
• Attention-deficit/hyperactivity disorder (ADHD)
• Autism spectrum disorder (ASD)
• +8 more

Tammy Barry is a Professor in the Department of Psychology at Washington State University and serves as Dean of the Graduate School and Vice Provost for Graduate Education. Her research focuses on biologically-based and contextual correlates of child externalizing behaviors, including ADHD, aggression, and autism-related disruptive behaviors. Ph.D. in Clinical Psychology (Child Emphasis) - University of Alabama (2000) B.A. in Communication - University of Alabama B.S. in Psychology - University of Alabama at Birmingham Barry's work examines neuropsychological functioning, child temperament, parental psychopathology/stress, parenting practices, socioeconomic factors, and individual differences like narcissism and psychopathy. Her lab investigates the measurement and latent structure of externalizing behavior disorders through interdisciplinary research involving psychophysiological, behavioral, and social data. Recent publications highlight her expertise in autism spectrum disorder, attention-deficit/hyperactivity disorder, and family dynamics. She has directed studies on mindfulness interventions, reward sensitivity, and reporting discrepancies in anxiety symptoms among children with ASD, presented at conferences like WPA, ISAR, and ABCT. No scientific awards explicitly mentioned Barry has mentored numerous graduate students and supervised the Child Externalizing Behaviors (CEB) Lab. The lab is not currently recruiting for Fall 2025 due to her sabbatical cycle. Her former students have transitioned to postdoctoral fellowships and clinical roles across the U.S.

Sturt ManningView profile

Professor

• Classical Archaeology
• east Mediterranean archaeology
• climate and archaeology
• +7 more

Sturt Manning is a Professor in the Department of Classics at Cornell University's College of Arts and Sciences, with additional affiliations in Anthropology, the Archaeology Program, and Medieval Studies Program. He directs the Cornell Tree-Ring Laboratory, specializing in dendrochronology and radiocarbon dating applications for Mediterranean and Near Eastern archaeology. His work bridges classical archaeology with scientific dating methodologies to establish precise chronological frameworks for ancient civilizations. Professor Manning's research focuses on Aegean, Cypriot, and Anatolian archaeology with particular emphasis on complex societies, state formation, and climate-archaeology interactions. His work integrates archaeological fieldwork with scientific dating methods to refine chronological understanding across the Mediterranean region. He has pioneered the application of dendrochronology to Mediterranean contexts where such methods were previously thought inapplicable, revolutionizing chronological debates in the field. His extensive publication record demonstrates a consistent focus on resolving chronological uncertainties through radiocarbon dating and dendrochronology, with applications spanning from the Mediterranean to North America. These works address significant historical questions including the dating of the Thera eruption, climate impacts on ancient civilizations like the Hittite Empire, and the chronology of early complex societies. His research has been published in high-impact journals including Nature, where his 2023 paper on the Hittite collapse identified a severe multi-year drought as a contributing factor. Professor Manning teaches courses including 'Climate, Archaeology and History' and 'Introduction to Dendrochronology,' reflecting his interdisciplinary approach that bridges archaeology, climate science, and dating methodologies. His research has important implications for understanding how environmental changes have shaped human history and how scientific methods can resolve longstanding archaeological debates.

Monther Abu-RemailehView profile

Assistant Professor

• Lysosome biology
• Cellular metabolism
• Neurodegeneration
• +7 more

Monther Abu-Remaileh is an Assistant Professor of Chemical Engineering and Genetics at Stanford University. He holds multiple prestigious affiliations including membership in Bio-X, the Maternal & Child Health Research Institute (MCHRI), Sarafan ChEM-H as an Institute Scholar, Stanford Cancer Institute, and Wu Tsai Neurosciences Institute. Dr. Abu-Remaileh earned his Molecular Genetics degree from The Hebrew University of Jerusalem, focusing on Gene Regulation in Development and Cancer (2014), followed by postdoctoral training at Whitehead Institute/MIT in Subcellular Metabolism (2019). His research focuses on lysosome biology and its critical role in cellular adaptation to metabolic stress. The Abu-Remaileh Lab investigates how lysosomal dysfunction contributes to human diseases including neurodegeneration, cancer, and metabolic syndrome. Using innovative approaches like metabolomics, proteomics, and functional genomics, his team develops novel tools to study lysosomal functions both in vitro and in vivo . Their work has particular relevance to lysosomal storage diseases and age-associated disorders. Analysis of Dr. Abu-Remaileh's publication record reveals a strong focus on lysosomal lipid metabolism, with significant contributions to understanding bis(monoacylglycero)phosphate (BMP) biology, lysosomal storage disorders like Batten disease, and connections between lysosomal dysfunction and neurodegenerative conditions including Alzheimer's disease. His work bridges fundamental cell biology with translational applications. His numerous scientific awards include the prestigious Sloan Research Fellowship (2025), Günter Blobel Early Career Award (2024), R.R. Bensley Award (2024), Pew-Stewart Scholarship (2022), and NIH Director's New Innovator Award (2021), among others. Sloan Research Fellow-Chemistry, The Alfred P. Sloan Foundation (2025) Günter Blobel Early Career Award, The American Society for Cell Biology (ASCB) (2024) R.R. Bensley Award in Cell Biology, American Association for Anatomy (AAA) (2024) Pew-Stewart Scholar, The Pew Charitable Trusts (2022) Dr. Abu-Remaileh actively mentors numerous graduate students and postdoctoral fellows across multiple programs including Biophysics, Cancer Biology, Genetics, and Neurosciences. He teaches Chemical Engineering Laboratory courses and various directed research opportunities. His lab has secured significant grant funding through mechanisms including the NIH New Innovator Award and Pew-Stewart Scholarship. The Abu-Remaileh Lab, located in the ChEM-H Building at Stanford, employs a multidisciplinary team of postdocs, graduate students, and research assistants working collaboratively to develop novel approaches for studying lysosomal biology and its implications for human health and disease.

• distributed systems
• networking
• blockchain systems
• +3 more

Dr. Onur Ascigil is a Lecturer in Computer Science at Lancaster University's Department of Computing and Communications. He contributes to the Data Science Institute and focuses on distributed systems, networking, and decentralized technologies like blockchain and IPFS. Research Interests: His work addresses scalability and security in decentralized systems, including blockchain and content addressable networks. He has investigated resource allocation in edge-computing and traffic engineering in the Internet. Trends in Publications: Recent articles explore blockchain privacy (k-anonymity), Ethereum's data availability, content moderation in decentralized networks (IPFS), and Internet decentralization. Earlier work includes congestion control, ICN routing, and edge-cloud resource allocation. PhD Supervision: He advises Edvinas Kruminis, a PhD student researching decentralized systems. Activities: He served as Publication Chair for the 9th ACM Conference on Information-Centric Networking and as a Technical Programming Committee Member for IEEE CCNC. He delivered an invited talk on Ethereum service discovery. Contact: Office: B42, B-Floor, InfoLab21. Email: o.ascigil@lancaster.ac.uk .

• Diabetes Research
• Metabolic Diseases
• Clinical Chemistry
• +4 more

Prof. Rainer Lehmann serves as Principal Investigator at the Helmholtz Diabetes Center within the German Center for Diabetes Research (DZD), holding a professorship in the Faculty of Medicine at the University of Tübingen. He directs the Clinical Chemistry Lab, focusing on translational research in metabolic disorders through advanced biochemical analytics. His research program centers on diabetes pathophysiology and metabolic disease mechanisms, utilizing cutting-edge metabolomics and lipidomics to identify diagnostic biomarkers and therapeutic targets. Key investigations explore bariatric surgery outcomes, exercise-induced metabolic adaptations, and sex-specific diagnostic patterns in prediabetes, emphasizing personalized intervention strategies for at-risk populations. Analysis of his 2021-2025 publications reveals consistent leadership in multicenter studies examining metabolic surgery benefits, urine-based biomarker discovery, and mitochondrial adaptations to lifestyle interventions. His work demonstrates strong collaboration across the DZD network, particularly in elucidating subphenotype-specific responses to diabetes prevention strategies. As head of the Clinical Chemistry Lab, Lehmann drives innovation in preanalytical sample handling and metabolite profiling, contributing to standardized protocols for clinical lipidomics and metabolomics research within the German diabetes research community.

• Machine Learning
• Artificial Intelligence
• Bayesian Statistics
• +5 more

Dr Cuong Nguyen is a Lecturer in the Department of Mathematical Sciences at Durham University, specializing in Machine Learning, Artificial Intelligence, and Statistics. His research bridges theoretical foundations with practical applications, with particular expertise in Bayesian methods, transfer learning, and multimodal systems. His educational background includes a PhD in Computer Science or a related field (specific institution not mentioned in provided data), with research focusing on machine learning theory and applications. Nguyen has established himself as a researcher with publications spanning top conferences including NeurIPS, UAI, and ACM Web Conference. Research Interests: Nguyen's work centers on lifelong learning systems that overcome catastrophic forgetting, transferability estimation between tasks, and multimodal learning applications. His research integrates Bayesian principles with deep learning to create more robust and adaptable AI systems. Recent Trends: Analysis of his 15 most recent publications reveals a strong focus on practical applications of theoretical machine learning concepts, particularly in security (CAPTCHA systems), real-world problem solving (fake advertisement detection), and fundamental learning theory (transferability metrics). Dr Nguyen has made significant contributions to understanding the theoretical underpinnings of transfer learning and continual learning, with his work on LEEP providing a practical metric for transferability estimation. His research on CAPTCHA systems demonstrates both theoretical rigor and practical security implications. Advising: While specific students aren't listed in the provided data, his publications show collaborations with researchers across institutions, suggesting active supervision of PhD and Master's students. Research Groups: He is affiliated with the Statistics research center within Durham's Department of Mathematical Sciences, contributing to the university's strength in mathematical and computational research.

• Chemical Risk Assessment
• Science-Policy Interface
• Environmental Toxicology
• +4 more

Marlene Ågerstrand is a Senior Lecturer at the Department of Environmental Science , Stockholm University . Her research focuses on the science-policy interface in chemical risk assessment and management, emphasizing how scientific data inform decision-making, the effectiveness of regulatory strategies, and the role of experts in policy development. She actively collaborates with ecologists, toxicologists, chemists, political scientists, and environmental lawyers. Key affiliations: International Panel on Chemical Pollution (IPCP) Board member Co-developer of the SciRAP web tool for structured chemical evaluations Member of the Baltic Sea Fellows interdisciplinary network Research Interests include improving environmental risk assessments of chemicals, science-policy interactions in chemical management, and pathways to a non-toxic circular economy. She specializes in qualitative methods like document analysis and stakeholder interviews. Recent Publications span environmental quality standards under the Water Framework Directive, essential-use concepts in REACH authorization, regulatory disparities in antimicrobial substance controls, and systematic review frameworks for endocrine disruptors.

Ana LucicView profile

Assistant Professor

• Interpretable Machine Learning
• Artificial Intelligence
• Earth System Science
• +3 more

Ana Lucic is an Assistant Professor in Artificial Intelligence at the University of Amsterdam , with a joint appointment between the Institute for Logic, Language and Computation and the Informatics Institute . Her research focuses on interpretable machine learning applications for scientific discovery and societal impact. Formerly at Microsoft Research AI for Science and Partnership on AI PhD in Explainable Machine Learning from University of Amsterdam (2022) BSc/MSc in Mathematics from McMaster University Research Highlights: Develops mechanistic interpretability methods for deep learning architectures. Created Aurora , a foundation model for Earth system forecasting outperforming traditional operational models in air quality prediction and tropical cyclone tracking. Pioneers Clifford-Steerable CNNs for geophysical data analysis. Actively hiring PhD students for AI transparency research . Collaborative Networks: Contributions to ELLIS Summer School and ICML workshops . Collaborates with Microsoft Research AI for Science team on climate-related ML projects. Involved in organizing TerraBytes workshop at ICML 2025. Recent Advancements: Key role in publishing Aurora model in Nature (2025), demonstrating superior performance in Earth system forecasting. Supervises Ege Erdogan , new PhD student focused on mechanistic interpretability. Actively contributes to open-source AI development through GitHub repositories and technical discussions.

Zhenxiang ChenView profile

Assistant Professor

• Social Stratification
• Migration Studies
• Assimilation and Integration
• +3 more

Zhenxiang (Zeke) Chen is an Assistant Professor in the Department of Sociology and Criminology at the University of Manitoba . He holds a PhD in Sociology from the University of California Los Angeles (UCLA) and has taught courses such as Understanding Social Research , Quantitative Social Analysis , and Social Research Methods . PhD (Sociology), UCLA, 2021 MA (Sociology), UCLA, 2018 MPP, UCLA, 2016 BA (Economics, Mathematics, International Studies), University of Wisconsin Madison, 2013 Chen’s research examines social stratification, mobility, and inequality among migrants , focusing on assimilation and integration from life-course and social psychology perspectives. His methodological expertise includes causal inference , quantitative methods , computational approaches , and experimental designs . Recent publications analyze topics like civic engagement pathways , transnational entrepreneurship , parental migration impacts on children , and legal patterns affecting labor outcomes . His work spans disciplines including Economic Sociology , Migration Studies , and Social Psychology . Contact: zeke.chen@umanitoba.ca

• Quality of Life
• Mental Fatigue
• Positive Affect
• +6 more

Gerko Schaap is a Researcher in Professional Learning & Technology specializing in health psychology and quality-of-life research, with expertise in post-illness syndromes and mental-physical health interactions. His work bridges clinical medicine, psychological science, and digital health interventions, focusing on patient-centered outcomes in chronic conditions. Primary research interests include Quality of Life, Mental Fatigue, Positive and Negative Affect, Fatigue Syndromes, and Post-COVID-19 Syndrome. He investigates symptom trajectories in long COVID using experience sampling methods, explores affective dynamics in daily life, and applies participatory action research to redirect tinnitus treatment paradigms. His work emphasizes real-world symptom management and patient agency in healthcare. Analysis of his 2023-2025 publications reveals concentrated investigation into post-COVID-19 sequelae through longitudinal studies, systematic reviews, and mixed-methods approaches. Key trends include digital intervention suitability assessment, affect-symptom relationships in ecological contexts, and patient-driven research redirection in tinnitus. The work spans medicine, psychology, and digital health with strong emphasis on patient-reported outcomes and real-time data collection. Schaap maintains active collaborations with Bode, van der Palen, and Vonkeman across multiple institutions, reflecting multidisciplinary team engagement. He has contributed two significant datasets on post-COVID symptom experiences and positive psychology interventions, supporting open science initiatives. While specific grant funding isn't detailed, his prolific output indicates sustained research support for chronic condition studies.

• Social Archaeology
• Settlement Archaeology
• Landscape Archaeology
• +4 more

Prof. Dr. Johannes Müller holds the Chair for Prehistoric Archaeology and directs the Institute of Pre- and Protohistory at Christian-Albrechts-Universität zu Kiel since 2004. His academic journey includes studies at Freiburg and Edinburgh, a habilitation at FU Berlin, and leadership roles in Bamberg. His research focuses on social archaeology, settlement patterns, and human-environment interactions in European prehistory, particularly the Neolithic and Bronze Age. Müller leads major projects like the DFG Collaborative Research Center 'Scales of Transformation' and the 'Human Development in Landscapes' Graduate School. His fieldwork spans Germany, Poland, Bosnia-Herzegovina, and Ukraine, with excavations at sites like Okoliste and Bruszczewo. He coordinates international initiatives like the Priority Program 'Early Monumentality and Social Differentiation.' Müller is a leading figure in computational archaeology, advancing predictive mapping and geophysical survey techniques. His work bridges archaeology with environmental and demographic sciences, emphasizing interdisciplinary collaboration. Education: PhD and habilitation in Prehistoric Archaeology (Freiburg and Berlin) DAI travel grant and academic roles at Freiburg, Cologne, and Bamberg Research Interests: Müller’s research integrates social archaeology with landscape and environmental studies to explore societal complexity and inequality. Key themes include: Neolithic monumental architecture (e.g., megalithic tombs, fortified settlements) Trypillia mega-sites and their socio-environmental dynamics Climate change impacts on prehistoric societies Computational methods for predictive mapping Collaborations: German Archaeological Institute (DAI) International teams in Poland, Bosnia-Herzegovina, and Ukraine Partnerships with institutions like Poznan University and the State Museum of Sarajevo Labs/Teams: He oversees the Institute’s fieldwork and laboratory facilities, including geophysical surveys and environmental analysis. His team employs cutting-edge techniques like geomagnetic imaging and isotopic dating to reconstruct ancient landscapes.

Manuel J. RodriguezView profile

Professor

• Drinking Water Quality Management
• Land Use Planning
• Climate Change Adaptation
• +3 more

Manuel J. Rodriguez is a Full Professor at the École supérieure d'aménagement du territoire et de développement régional (School of Land Use Planning and Regional Development) at Université Laval, Canada. Holder of the NSERC Industrial Research Chair in Drinking Water Quality Management and Monitoring, he specializes in integrated water quality management from watersheds to urban distribution systems. His work addresses source protection, spatio-temporal water quality analysis, and decision-support tools for municipalities. BSc in Civil Engineering MSc in Land Use Planning and Regional Development PhD in Environmental Engineering Postdoctoral work in England and France His research program emphasizes climate change adaptation, land use planning impacts, and machine learning applications for predicting water quality parameters. Recent publications focus on disinfection byproduct (DBP) management, contamination monitoring, and computational tools for water security. He has supervised over 80 doctoral, master's, and postdoctoral students. Professor Rodriguez has received the 2013 Université Laval Teaching Excellence Award and leads collaborations with entities like the City of Quebec, Canada First, and WaterShed Monitoring. His 2024-2025 articles highlight trends in climate-water interactions, DBP control, and AI-driven water quality assessment. NSERC Industrial Research Chair Active in 2025 publications Teaching excellence laureate He has held administrative roles including Director of CRAD, ÉSAD, and doctoral/master programs in Land Use Planning. His work spans 200+ peer-reviewed articles and 400+ conference presentations, addressing global water challenges from Arctic communities to tropical basins.

Eduardo AlonsoView profile

Professor

• Artificial Intelligence
• Reinforcement Learning
• Computational Neuroscience
• +2 more

Professor Eduardo Alonso is Director of the Artificial Intelligence Research Centre (CitAI) and Department Research Director at City St George's, University of London. His research bridges novel AI techniques with Explainable AI and Artificial General Intelligence, with significant focus on legal and ethical implications. Research spans: Computational neuroscience and evolutionary biology modeling Deep learning architectures for reinforcement learning Mathematical models of emergence in complex systems Industrial AI applications with societal impact Professor Alonso has secured over £1M in funding from Innovate UK, EU EIT-Digital, and US NSF grants. He currently supervises 13 PhD students working on ethical AI, reinforcement learning, and cybersecurity. Recent publications focus on transformer architectures for multi-agent systems, power grid optimization via GNNs, and adversarial robustness in security systems. Awarded the IEEE Computational Intelligence Society Spotlight Paper Award in 2013.

Marinko SarunicView profile

Adjunct Professor

• Biomedical Imaging
• Optical Coherence Tomography
• Microscopy
• +2 more

Marinko Sarunic is an Adjunct Professor at the School of Engineering Science , Simon Fraser University . He holds a PhD in Biomedical Engineering from Duke University and has been recognized as a Michael Smith Foundation for Health Research Scholar . His research focuses on biomedical imaging , particularly optical coherence tomography (OCT) , microscopy , and low-coherence interferometry , with applications in diabetic retinopathy , Alzheimer’s disease , and age-related macular degeneration . Dr. Sarunic's work spans adaptive optics , deep learning , and sensorless OCT systems , emphasizing clinical translation and open-source software development (e.g., OCTAVA ). His Google Scholar publications highlight multimodal imaging , vascular heterogeneity analysis , and AI-driven diagnostics for retinal diseases. His contributions include the Michael Smith Foundation for Health Research Scholar award. Though not currently teaching courses, his collaborations and leadership in retinal imaging and medical device innovation are pivotal for advancing non-invasive diagnostics in neurodegenerative and diabetic conditions .