Linn Bonaventure Fridman is a postdoctoral researcher at the Department of Psychology, University of Oslo, with affiliations to Diakonhjemmet Hospital and the University of Oxford's WIN Centre. Her work bridges developmental neuroscience, neuroimaging, and mental health. PhD in Neuroscience (2016-2019) Postdoctoral Fellowship (2019-2023) Visiting Researcher at University of Oxford (2022) Her research focuses on cortical brain development from childhood to adulthood, using structural MRI (sMRI) to analyze cortical thickness, area, folding, and microstructural gray/white matter contrast (T1w/T2w ratio). She investigates links between neurodevelopmental patterns and mental health, with emphasis on socioeconomic factors, sleep, and transdiagnostic approaches. Key article themes include: genetic and environmental influences on cortical development, socioeconomic adversity timing, emotion regulation networks, and multimodal brain-behavior associations in ADHD/Autism subtypes. Her 2021 PROMENTA Publication Prize highlights significant contributions to cortical development understanding. Grants: PROMENTA, NORMENT, sMRI research funding Collaborations: Transdiagnostic mental health, neuroimaging fusion methods (LICA, spectral clustering)
Andreas Gerhardsson is a Guest Researcher at the Department of Psychology, Stockholm University, affiliated with both the Division for Sleep and Alertness Research and The Fischer Lab. His work examines how sleep deprivation impacts emotional-cognitive processing across age groups. Department of Psychology Division for Sleep and Alertness Research The Fischer Lab Research interests include: Sleep deprivation effects on emotional processing Age-related cognitive resilience Interaction between affective bias and memory integration Neurophysiological responses to stress Positivity effect in aging populations His publications since 2015 include experimental studies on: Emotional working memory load Age-dependent stress responses Reinforcement learning under sleep restriction Perceptual constancy of facial expressions Task-unrelated thought mechanisms Since 2017, he has lectured on statistics and sleep-related topics while supervising cognition laboratory sessions. His methodological approach combines computational modeling with neuroimaging techniques like MEG to explore sleep-stress-recovery relationships.
Dr. ir. Fred W. Wubs is an Associate Professor of Numerical Mathematics at the University of Groningen's Faculty of Science and Engineering, specifically within the Bernoulli Institute for Mathematics and Computer Science. His research spans multiple disciplines connecting applied mathematics with real-world applications in biomechanics and climate science. Based at the Bernoulliborg (room 451) in Groningen, Netherlands, he maintains active research collaborations across engineering, medical, and environmental fields. Wubs' research interests focus on numerical methods development and application, with particular expertise in finite element analysis, bifurcation theory, and computational modeling of complex systems. His work bridges theoretical mathematics with practical applications, spanning from biomechanical analysis of mandibular fractures to ocean circulation modeling and climate system dynamics. His fingerprint analysis reveals strong contributions in matrix mathematics (100%), bifurcation analysis (81%), time-stepping methods (58%), factorization techniques (58%), and Jacobian matrix applications (52%). His publication record shows a clear dual trajectory: one stream applying numerical methods to biomedical problems (particularly mandible fracture mechanics and orthopedic implant design), and another focused on climate and ocean modeling (including ocean circulation, ice sheet dynamics, and Earth system modeling). This interdisciplinary approach demonstrates how fundamental numerical mathematics can address diverse challenges across seemingly unrelated fields. Wubs has supervised 5 research projects as indicated by his academic profile, though specific student names aren't provided in the available information. His work has been cited extensively, with some publications receiving over 25 citations in Scopus. His research appears in high-impact journals including Scientific Reports, Journal of Advances in Modeling Earth Systems, and Journal of Computational Physics. He maintains active laboratory work in numerical simulation, with recent publications indicating ongoing projects in biomechanical testing validation using 3D printed models and advanced computational techniques for ocean and climate modeling. His work on physics-controlled echo state networks represents an innovative integration of machine learning with traditional numerical methods.
Mirjam Ernestus is a Professor of Psycholinguistics at the Centre for Language Studies within Radboud University's Faculty of Arts. She serves as Chair of the Editorial Board of Radboud University Press and Scientific Director of the Centre for Language Studies since 2017. Her career spans 20+ years in psycholinguistics and phonetics research. Member of Royal Netherlands Academy of Arts and Sciences Recipient of ERC Starting Grant and NWO VICI grant Specializes in speech comprehension and conversational speech Research Focus: Her work integrates psycholinguistics and phonetics to explore auditory word recognition, morphological processing, and cross-linguistic speech phenomena. She develops computational models like DIANA for speech comprehension analysis. Publication Trends: Recent studies examine exemplar-based processing differences between native/non-native speakers, phonetic-morphological interactions, speech rate dynamics, and multimodal language learning approaches. Her work frequently applies machine learning and experimental paradigms. Awards: ERC Starting Grant (2011) NWO VICI grant (2011) KNAW membership (2015) EURYI Award (2006) Leadership: She has directed major research initiatives including the gravitation project Language in Interaction and the Research Unit Spoken Morphology. Her management roles include overseeing 160+ researchers at the Centre for Language Studies.
Associate Professor Roberto Viviani, PhD is affiliated with the University of Innsbruck , where he leads neuroimaging research in clinical psychology. His work focuses on bridging psychopathology with brain function networks through functional neuroimaging, genetic variation, and statistical modeling. Research Interests : Functional neuroimaging of affective processes and social cognition Genetic polymorphisms in drug-metabolizing enzymes and their neurobiological effects Pharmacogenetics in polypharmacy and affective disorders Statistical analysis of neuroimaging data Development of tools like PHATE for high-dimensional data visualization Methodological Contributions : Advocates for multimodal imaging to enhance brain structure-function characterization Active in validating neuroimaging inference through advanced analytical techniques Grants : Recipient of a NEURON-Eranet grant for studying genetic influences on brain imaging endophenotypes. Collaborations : Engages in interdisciplinary projects, including AI-driven semantic similarity assessments and clinical applications of neuroimaging in depression, borderline personality disorder, and Parkinson's disease.
Prof. Ivailo Tournev, DSc, MD, is a distinguished Professor at Medical University - Sofia and New Bulgarian University (NBU), where he served as Head of the Department of Cognitive Science and Psychology (2013-2016) and currently serves on NBU's Governing Board. His career spans over three decades in neurology, neuromuscular disorders, and medical genetics, with current leadership roles including Head of the Clinic of Nervous Diseases at Alexandrovskа University Hospital and Director of the Expert Center for Genetic Nervous and Metabolic Diseases. Medical University - Sofia: Professor of Neurology (2006-present), Head of Nervous Diseases Clinic (2010-present) New Bulgarian University: Professor of Cognitive Science and Psychology (2008-present), Former Department Head (2013-2016) Professional Affiliations: World Society of Neuromuscular Disorders, European Consortium for Neural Muscle Atrophy, Bulgarian Neurological Society Prof. Tournev's research focuses on the intersection of neurology, genetics, and ethnic health disparities, particularly among Roma populations. His work has established Bulgaria as a global hub for studying founder-effect neuromuscular disorders in Romani communities. Key research areas include hereditary neuropathies, muscular dystrophies, epilepsy genetics, Wilson's disease, and rare genetic disorders. His laboratory pioneered the identification of multiple novel disease entities including CCFDN syndrome and Lom neuropathy, with over 65 research projects funded by international organizations including the European Commission, Muscular Dystrophy Association, and Wellcome Trust. His publication record includes over 80 peer-reviewed articles in high-impact journals such as Nature Genetics , Brain , and Annals of Neurology , with recent work emphasizing next-generation sequencing approaches, genotype-phenotype correlations in neuromuscular disorders, and translational applications for rare diseases. Prof. Tournev has secured over €15 million in research funding throughout his career, with current projects focusing on transthyretin amyloidosis, ALS genetics, and retinal degeneration diagnostics. Merril Spencer Award (European Society of Neurosonology) National Medical Award for Lifetime Achievement (2018) "Pitagor" Award from Ministry of Education for Exceptional Contributions to Medicine Golden Coin "Pismenost" from European Scientific and Cultural Community Council Honorary Citizen of Lom (2015) Prof. Tournev has mentored 18 PhD students to completion, with current advisees focusing on spinocerebellar ataxias, spastic paraplegias, and epilepsy genetics. His research team operates within the National University Biomedical Services Complex, collaborating with international consortia including TREAT-NMD and CARE-NMD. Current initiatives include establishing Bulgaria's first comprehensive neuromuscular registry and developing precision medicine approaches for hereditary neurological disorders through the MYO-SEQ project.
Lendert Gelens serves as a Senior Lecturer at KU Leuven's Faculty of Medicine within the Department of Cellular and Molecular Medicine. He leads the Laboratory for Dynamics in Biological Systems and holds significant interdisciplinary roles as a member of iSi Health - KU Leuven Institute for Physics-based Modeling for In Silico Health and Leuven.AI - KU Leuven Institute for Artificial Intelligence. His institutional involvement extends to multiple governance bodies including the OC Biophysics, Biochemistry and Biotechnology, Faculty Council of Medicine, and Departmental Council for Cellular and Molecular Medicine. Dr. Gelens' research centers on mathematical and physical modeling of biological systems with particular emphasis on cell cycle dynamics, wave pattern formation, and temperature effects on developmental processes. His work bridges physics, mathematics, and biology to understand fundamental principles of self-organization in living systems. He investigates how nuclear-cytoplasmic interactions regulate cell cycle timing, how temperature influences embryonic development beyond traditional Arrhenius relationships, and how spatial organization affects biological oscillations. His approach integrates experimental biology with computational modeling, dynamical systems theory, and increasingly machine learning techniques to extract meaningful patterns from complex biological data. Analysis of his recent publications reveals a strong trend toward data-driven approaches in biological modeling. He has pioneered the application of machine learning to identify nullclines in oscillatory systems and extract hidden information from biological time series. His research consistently focuses on frog egg extract systems as model organisms for studying fundamental cell cycle principles, with particular attention to wave phenomena, spatial organization, and temperature scaling effects. The interdisciplinary nature of his work is evident in publications spanning mathematical biology, biophysics, computational neuroscience frameworks like the FitzHugh-Nagumo model, and artificial cell construction. Dr. Gelens actively supervises multiple PhD students including Prokop, Piñeros, and Frolov, and leads substantial research funding through numerous projects running from 2021-2029. His current grants address critical questions in biological self-organization, temperature effects on development, artificial cell construction, and data-driven cell cycle modeling. As head of the Laboratory for Dynamics in Biological Systems, he directs research on how physical principles govern biological organization across scales, from molecular oscillators to cellular and tissue-level patterns. His laboratory serves as a hub for interdisciplinary collaboration between physicists, mathematicians, and biologists working on fundamental questions in systems biology.
Koen Cuypers serves as a special guest lecturer at KU Leuven, affiliated with the Movement Control & Neuroplasticity Research Group and the KU Leuven Brain Institute . His work focuses on the intersection of motor control, neuroplasticity, and aging, with particular emphasis on cerebellar function and neurometabolite dynamics. His research spans several critical domains in neuroscience: Investigating GABA dynamics in motor learning across age groups Exploring cerebellar brain inhibition mechanisms in aging populations Developing neuromodulation techniques like HD-tACS for motor control enhancement Validating novel neuro-mobinavigation assessment tools Recent publications (2024-2025) reveal a strong focus on age-related neural changes, with 70% of his work examining aging neuroscience through multimodal approaches including MRS, TMS, and systematic reviews. Cuypers actively contributes to major collaborative projects, notably as Co-promoter for the ongoing study The relationship between motor skill learning and GABA dynamics, synaptic density, and connectivity in motor brain regions (2020-2024). His methodological expertise spans neuroimaging, electrophysiology, and rehabilitation science, with consistent corresponding authorship on high-impact publications in journals like Cerebellum and NeuroImage .
Aurora Clark is a Professor in the Department of Chemistry at Washington State University (2005-2022), with a Ph.D. from Indiana University (2003) and postdoctoral experience at Los Alamos National Laboratory (2003-2005). Her interdisciplinary research bridges computational chemistry, data science, and applied mathematics to understand complex chemical systems across multiple scales. Educational Background: Ph.D. in Chemistry, Indiana University (2003) Director's Postdoctoral Fellow, Los Alamos National Laboratory , Theory Division (2003-2005) Research Interests: Clark's laboratory employs atomistic simulations (ab-initio and classical molecular dynamics) combined with data science to characterize complex solutions and interfaces. Her work advances graph theory , topological data analysis , and machine learning to develop predictive models linking molecular-scale behavior to macroscopic properties. Key areas include: Industrial Processing Chemistry: Structure and reactivity of concentrated electrolytes for materials production, separations, and battery technologies Environmental and Health Applications: Interfacial chemistry for drug purification, environmental remediation, and green separations Interdisciplinary Mathematics: Novel applications of graph theory and topology in chemistry, including spectral graph theory and persistent homology Scientific Awards and Honors: Fellow, American Physical Society (2021) Fellow, American Association for the Advancement of Science (2019) Fellow, American Chemical Society (2017) WSU Young Faculty Performance Award WSU Mid-Career Award WSU Professional Service Award WSU Undergraduate Research Excellence Mentor Award Volunteer of the Year , Washington Idaho Border Section of ACS ACS HP Junior Faculty Award ACS PROGRESS/Dreyfus Lectureship Leadership and Service: Clark has held numerous leadership positions including Chair of the DOE Council on Chemical Sciences, Geosciences and Biosciences (2017-2021), Director of the WSU Center for Institutional Research Computing (2016-2022), and Director of the WSU-PNNL Nuclear Science and Technology Institute (2016-2019). She serves on editorial boards of Journal of Physical Chemistry , Journal of Chemical Physics , Solvent Extraction and Ion Exchange , and Computational and Theoretical Chemistry . Research Impact: Her recent publications (2022-2024) demonstrate cutting-edge work in surface chemistry, nanoparticle interactions, aluminate chemistry, and advanced mathematical methods for chemical analysis, with applications ranging from environmental cleanup to advanced materials design.
William Murrah is an Associate Professor in the Department of Educational Foundations, Leadership, and Technology at Auburn University's College of Education. His research explores the interplay between cognitive and motor skill development, longitudinal data analysis, and the impact of out-of-school programs on academic and occupational performance. He co-founded the Quantitative Methods in Educational Research (QMER) learning community to enhance graduate student training in STEM skills and research methodology. Ph.D., Educational Psychology, University of Virginia Postdoctoral Fellow and Research Scientist at University of Virginia Former counselor in alternative schools and clinical settings Murrah's research bridges educational psychology with applied physiology, focusing on how physical fitness influences cognitive performance in esports, firefighter tasks, and academic achievement. His work emphasizes intervention design in educational and occupational contexts, with a strong focus on quantitative methods and motor learning dynamics. Recent publications highlight collaborations in sports biomechanics, aging research, and health-informed pedagogy. Key trends in his 15 most recent articles include: (1) Investigating exercise-induced physiological changes in high-stakes occupational settings like firefighting, (2) Optimizing cognitive-motor integration in esports, (3) Quantitative methodological advancements for educational research, (4) Longitudinal analyses of school readiness indicators, and (5) Interdisciplinary applications of motor control theory to learning sciences. Murrah maintains a research methods website (www.statistical-thinking.com) and advocates for expanded quantitative training in educational research through the QMER community. His work involves partnerships with institutions studying Core Knowledge charter schools, military training, and clinical populations like those with essential tremor.
Walter van Heuven is an Associate Professor at the School of Psychology, University of Nottingham. His research focuses on monolingual and bilingual language processing , combining behavioral experiments (reaction times, eye-tracking), neuroimaging (ERP, fMRI), and computational cognitive modeling . Key interests include visual word recognition, bilingual brain mechanisms, translation activation, non-native speech perception, and executive control-language interactions. Research Themes : Cross-language activation and inhibition in bilinguals Orthographic/phonological processing in multilinguals Computational modeling of lexical decision tasks Neural correlates of translation priming Software Development : Created R packages strngram , strsim for psycholinguistic string similarity analysis Maintains jIAM browser-based models for BIA His recent publications (2017-2018) explore masked priming , multi-word expression processing , and cross-language neighborhood effects , with methodological innovations in statistical analysis and neuroimaging. He contributes to teaching modules like Computational Cognitive Psychology and Cognition in the Real World .
David Dempsey is an Associate Professor in the Department of Civil and Environmental Engineering at the University of Canterbury's Faculty of Engineering, where he has been affiliated since December 2020. He leads the Subsurface Engineering Group, addressing critical challenges for a low-emissions future. His research integrates geomechanics, machine learning, and fluid dynamics across four key areas: Carbon Dioxide Removal : Designing systems to combust forestry waste and sequester CO₂ in geothermal reservoirs. Underground Hydrogen Storage : Modeling hydrogen injection/recovery in depleted gas fields. Volcanic Forecasting : Developing real-time ML systems for eruption prediction using seismic data. Induced Seismicity : Quantifying earthquake risks from energy projects. His recent publications (2021-2025) show a strong focus on machine learning applications in geohazards and energy storage, with themes including seismic forecasting, CO₂-hydrogen geostorage, and wildfire prediction. Numerical modeling and data-driven approaches dominate his methodology. He actively supervises 13+ graduate students on projects such as hydrogen geostorage, volcanic forecasting, and flood prediction. His group collaborates with industry on geothermal and seismic risk projects, leveraging real-time data from networks like GeoNet.
Christopher Blais is an Assistant Professor in the Department of Psychology at Arizona State University, specializing in cognitive control and neuroscience. He directs the EEG lab, focusing on implicit mechanisms of self-regulation and attention. PhD in Cognitive Psychology, University of Waterloo (2006) MA in Cognitive Psychology, University of Waterloo (2002) BA in Psychology with minor in Mathematics, University of Waterloo (2001) His research explores cognitive control, selective attention, and neural correlates of behavior regulation. Key areas include understanding how implicit processes influence attentional control and memory, utilizing EEG and computational models. Recent publications highlight trends in cognitive neuroscience, including applications of machine learning to EEG data, social learning mechanisms, and educational technology innovations. Blais has contributed to studies on bilingualism, prospective memory, and emotion regulation. Blais teaches undergraduate courses like BIO 495 (Undergraduate Research) and PSY 499 (Individualized Instruction), emphasizing hands-on learning in psychology and neuroscience.
Mark A Cervinski, PhD is an Associate Professor of Pathology and Laboratory Medicine at Dartmouth College's Geisel School of Medicine, where he serves as Director of Clinical Chemistry and Director of Point-Of-Care Testing at Dartmouth-Hitchcock Medical Center. A Diplomate of the American Board of Clinical Chemistry and Fellow of the AACC Academy, Dr. Cervinski has been with the institution since 2009 when he joined as an Assistant Professor following completion of his Clinical Chemistry Fellowship at Washington University School of Medicine. His research focuses on innovative approaches to clinical laboratory quality management, particularly patient-based real-time quality control (PBRTQC), laboratory test utilization optimization, and improving diagnostic testing efficiency. Dr. Cervinski has published extensively on quality control methodologies, immunoassay performance, toxicology testing, and serological assay validation. His recent publications (2022-2025) demonstrate continued leadership in clinical chemistry, with emphasis on PBRTQC advancements, opioid testing methodologies, SARS-CoV-2 diagnostics, and addressing analytical challenges in clinical laboratory testing. His work spans both original research articles and influential review papers that shape laboratory medicine practice. Dr. Cervinski's scientific contributions are recognized through his Diplomate status with the American Board of Clinical Chemistry and his Fellowship in the AACC Academy. His leadership extends to directing the ComACC Accredited Clinical Chemistry Fellowship Program and lecturing in the Geisel School of Medicine General Pathology Course. Diplomate of the American Board of Clinical Chemistry Fellow, AACC Academy As Director of the Clinical Chemistry Fellowship program, Dr. Cervinski mentors the next generation of clinical chemists. His research program, evident through his extensive publication record, addresses critical challenges in clinical laboratory medicine including quality control innovation, test utilization management, and analytical methodology validation across various diagnostic domains.
Dr. Polina Maciejczyk is a Professor of Chemistry in the Department of Chemistry and Biochemistry at Eckerd College. She holds a Ph.D. in Chemistry from the University of Maryland and a B.S. in Chemistry from Rowan University. Her research specializes in atmospheric chemistry and air pollution health effects, with emphasis on: Source apportionment of particulate matter (PM2.5/PM10) Health impacts of metals in ambient particles Cardiovascular and inflammatory responses to pollution Statistical modeling of pollution sources Global air quality in urban environments including Beijing and Jeddah Her publications (2002-2022) demonstrate consistent focus on pollution toxicology, with recent work examining fossil fuel combustion metals. Research employs: Chemical speciation via X-ray fluorescence Mobile air monitoring systems Biometric telemetry in murine models Cellular response analysis
