جست‌وجوی استاد و پژوهشگر

• Substance misuse prevention
• Polysubstance use
• Alcohol epidemiology
• +۷ مورد دیگر

Dr. Gary C.K. Chan is an NHMRC Emerging Leadership Fellow at the National Centre for Youth Substance Use Research within the School of Psychology at the University of Queensland. As a statistical advisor, he provides methodological guidance to academic staff and research higher degree students. His collaborative work spans major international research institutions including the University of Washington, Murdoch Children's Research Institute, University of Melbourne, and University College London, with significant policy impact through consultation with the United Nations Office of Drugs and Crime. Dr. Chan's principal research focuses on substance misuse prevention and advanced statistical methods for longitudinal analysis. His work examines polysubstance use patterns (particularly alcohol, tobacco, and cannabis) among adolescent populations, urban-rural disparities in substance use, and the epidemiology of various substances. He applies sophisticated statistical modeling to understand complex relationships between substance use, mental health, and sociodemographic factors, with particular attention to methodological innovations in addiction research. Dr. Chan's prolific publication record demonstrates a strong focus on contemporary substance use issues, particularly cannabis and vaping trends among youth. His research employs diverse methodologies including longitudinal analysis, systematic reviews, and wastewater-based epidemiology. There's a clear emphasis on policy-relevant research that examines the impact of regulatory changes on substance use patterns, with significant contributions to understanding cannabis use for medicinal purposes and the relationship between social media exposure and substance use behaviors. Scientific Awards: NHMRC Emerging Leadership Fellowship As a statistical advisor at the School of Psychology, Dr. Chan provides methodological support to academic staff and research higher degree students. Since 2016, he has conducted advanced statistical workshops on R programming and multilevel modeling. His research is supported through the NHMRC fellowship and numerous collaborations with major national and international institutes that facilitate large-scale epidemiological studies and policy-relevant analyses. Dr. Chan is affiliated with the National Centre for Youth Substance Use Research at the University of Queensland. His collaborative network spans multiple research teams across continents, enabling comprehensive investigations of substance use patterns and their determinants in diverse populations and settings.

Alfredo Spagnaمشاهده پروفایل

مدرس

• Cognitive Neuroscience
• Perception
• Consciousness
• +۷ مورد دیگر

Alfredo Spagna is a Lecturer in the Discipline of Psychology at Columbia University and serves as Director of Undergraduate Studies for the Neuroscience & Behavior Major, Director of Undergraduate Research, and Co-Director of the STAR Program. He earned his Ph.D. in Cognitive Neuroscience, Psychology, and Psychophysiology from Sapienza University of Rome in 2014. Education: Ph.D., Sapienza University of Rome, 2014 His research investigates the cognitive and neural mechanisms of human attention and mental imagery, focusing on the interplay between frontoparietal networks and high-level visual regions. Methodologies include behavioral experiments, 3T/7T fMRI, MEG, sEEG, and mobile EEG. Current projects test a heterarchical model of visual mental imagery and examine attentional networks in social/non-social stimuli processing. Recent publications explore attentional reorienting in visual perception, cognitive control in depression, and interdisciplinary applications of neuroimaging. As a mentor, he guides undergraduate, graduate, and postdoctoral students in academic and research endeavors, emphasizing collaborative and inclusive environments. He founded The Living Lab, an interdisciplinary initiative integrating neuroscience, journalism, theater, and philosophy to address societally relevant topics such as diversity, equity, and inclusion (DEI) training efficacy and attentional mechanisms in mental imagery.

• Glomerulonephritis
• chronic kidney disease
• translational research
• +۵ مورد دیگر

Dr. Edmund Chung is a Clinical Senior Lecturer at Sydney Medical School, University of Sydney, affiliated with the Children's Hospital at Westmead and the Faculty of Medicine and Health. He works as a staff specialist nephrologist at Royal North Shore Hospital and conducts postdoctoral research at the Centre for Kidney Research at The Children's Hospital at Westmead. His primary clinical and research focus is on autoimmune kidney diseases, particularly membranous nephropathy and chronic kidney disease. Dr. Chung's educational background includes: Bachelor of Medicine (BMed) Doctor of Medicine (MD) Master of Medicine in Clinical Epidemiology (MMed (Clin Epi)) - completed in 2015 Doctor of Philosophy (PhD) - completed in 2025, supported by the NHMRC Postgraduate Research Scholarship Fellow of the Royal Australasian College of Physicians (FRACP) Dr. Chung's research focuses on glomerulonephritis, chronic kidney disease, and translational research , with particular emphasis on immunological mechanisms and novel therapies. His work bridges basic science and clinical practice, exploring cellular and molecular approaches to understand and treat autoimmune kidney diseases. His laboratory investigates autoreactive T-cells and B-cells in membranous nephropathy while developing innovative treatments like CAR T-cell therapies. Dr. Chung's research program is driven by patient perspectives, as evidenced by his qualitative studies on living with membranous nephropathy, ensuring his scientific inquiries address real clinical needs and patient experiences. Dr. Chung's recent publications demonstrate a strong focus on immunological mechanisms in kidney disease, particularly membranous nephropathy. His work spans basic science investigations using animal models, clinical studies of patient cohorts, and systematic reviews that inform international guidelines. A notable trend is his exploration of cellular therapies, especially CAR T-cell approaches, for treating autoimmune kidney diseases. His research also encompasses epidemiological studies of kidney diseases in Australian populations and the development of predictive models for disease recurrence after transplantation. The interdisciplinary nature of his work is evident in collaborations spanning nephrology, immunology, oncology, and transplantation medicine. Dr. Chung has received several prestigious awards and honors: Asian Pacific Society of Nephrology/Japanese Society of Nephrology Joint Symposium Invited Talk (2024) for "Membranous nephropathy: clearer immunopathogenesis and therapeutic implications" NHMRC Postgraduate Research Scholarship (2022) for research on "Treatments to expand regulatory T cells +/- deplete autoantibody production in membranous nephropathy" American Journal of Kidney Diseases Editor's Choice Award (2022) for "Incidence and outcomes of COVID-19 in people with CKD: a systematic review and meta-analysis" Dr. Chung serves as the Knowledge Translation and Dissemination Editor for the Cochrane Kidney and Transplant Group, where he creates educational content including webinars and podcasts with the International Society of Nephrology. He is actively involved in clinical trial networks through his position on the Australasian Kidney Trial Network Glomerulonephritis Working Group, supporting investigator-initiated trials in glomerulonephritis. Additionally, he contributes to the ClinGen Glomerulopathy Working Group as a Biocurator, working to understand the genetic basis of glomerulonephritis. His research is supported by collaborations across multiple institutions and his leadership in establishing the Australian glomerulonephritis cohort (PEACH) to facilitate patient-focused research in membranous nephropathy. Dr. Chung leads research at the Centre for Kidney Research at The Children's Hospital at Westmead, where his team investigates autoreactive T-cells and B-cells in patients with membranous nephropathy. He has established the PEACH cohort (Patient Experience in Autoimmune Chronic Kidney Disease) to study membranous nephropathy, the most common form of nephrotic syndrome in adults. His laboratory work focuses on developing novel CAR T-cell therapies for autoimmune kidney diseases. Dr. Chung collaborates with immunologists, basic scientists, and clinicians across multiple institutions to advance understanding and treatment of glomerulonephritis.

• Artificial Intelligence
• Machine Learning
• Federated Learning
• +۷ مورد دیگر

Shuguang Cui is the X.Q. Deng Presidential Chair Professor in the Department of Electrical and Computer Engineering at the School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen. He holds a PhD from Stanford University and has previously served on the faculties of the University of Arizona, Texas A&M University, and UC Davis. His research lies at the intersection of artificial intelligence and communication networks, particularly in AI+Networking , with major contributions in federated learning over wireless systems, intelligent reflecting surfaces, UAV trajectory optimization, and energy-efficient edge computing. His work bridges machine learning theory with practical communication system design. The recent publications reflect a strong trend toward integrating distributed AI with wireless network constraints, focusing on reducing communication overhead, optimizing resource allocation, and enhancing learning efficiency in edge environments. Key themes include federated learning convergence, hybrid VLC-RF systems, and intelligent surface-assisted communications. Award highlights include: IEEE Fellow (2013) IEEE Marconi Prize Paper Award (2023) Fellow of the Royal Society of Canada (2023) Fellow of the Canadian Academy of Engineering (2023) Multiple IEEE best paper awards (Globecom, WCNC, ICC) Thomson Reuters Highly Cited Researcher (2014) Prof. Cui has served in leadership roles such as Vice Chair of the IEEE VT Fellow Evaluation Committee, member of the IEEE ComSoc Award Committee, and currently as Editor-in-Chief of IEEE Transactions on Mobile Computing . He has secured significant research impact through high-visibility publications in top-tier journals and conferences, shaping the future of AI-driven wireless systems. He leads a research group focused on next-generation intelligent networks, supervising graduate students and collaborating across institutions. His team actively contributes to advancing the theoretical and practical foundations of AI-enabled communications.

• Psychology
• Public health care science
• Environmental and occupational health
• +۴ مورد دیگر

Markus Jokela is a Professor at the University of Helsinki, Faculty of Medicine, Department of Psychology and Logopedics. His research spans psychology, public health, and behavioral epidemiology, with a focus on personality traits, mental health, and their interplay with physical health and societal factors. Field of Science: Psychology, Public health care science, Environmental and occupational health Projects: Social networks and demographic resilience, Teacher wellbeing, Fertility behavior, Genetic and environmental influences Research interests include mental health epidemiology , personality-health associations , fertility determinants , and psychosocial interventions . Recent work examines proteomic ageing signatures, depression-anxiety dynamics in digital therapy, and obesity-depression causality. Key article trends show cross-disciplinary engagement with depression subtyping , fertility intentions , entrepreneurial stress , and neighborhood effects . Subfields span from psychotherapy outcomes to metabolically healthy obesity . Scientific recognition includes: Young Researcher Award (PsykoNet, 2010) University of Helsinki Ph.D. thesis awards (2007) Honorary Research Associate, UCL (2008-) As a supervisor, he has guided doctoral candidates Venla Berg, Heini Väisänen, and Tom Rosenström, among others. His projects like NetResilience (2024-2027) and FTProWell (2016-2019) demonstrate sustained funding from the Strategic Research Council and other bodies.

Bernadette von Dawansمشاهده پروفایل

پژوهشگر

• Clinical Psychology
• Biological Psychology
• Stress and Stress Protection
• +۱۲ مورد دیگر

Bernadette von Dawans is a Research Associate and Senior Academic Advisor in Research and Teaching at the Department of Biological and Clinical Psychology, Faculty I, University of Trier, Germany. She is also a licensed psychological psychotherapist and certified supervisor in cognitive behavioral therapy, leading the Psychotherapy Outpatient Clinic for Stress, Social Interaction and Behavioral Medicine. Her research focuses on the psychobiology and clinical aspects of stress, including social interaction, stress protection mechanisms (e.g., social support, oxytocin), stress management across age groups, and the impact of sex hormones on behavior. She investigates methods of stress induction and measurement, with applications in personality disorders, social phobia, and burnout. Her recent publications, primarily in psychoneuroendocrinology and clinical psychology journals, reveal a strong trend in examining how acute stress modulates social cognition, emotion recognition, prosocial behavior, and hormonal responses. She frequently employs the Trier Social Stress Test (TSST-G) and explores gender differences, hormonal influences (e.g., oral contraceptives, cortisol, oxytocin), and interventions like glucose intake or internet-based stress management. Common oxytocin receptor gene (OXTR) polymorphism and social support interact to reduce stress in humans Oxytocin, vasopressin, and human social behavior Dr. von Dawans has contributed to research on stress resilience, affiliative behaviors under stress, and the neuroendocrine underpinnings of social functioning. She collaborates extensively with researchers such as Markus Heinrichs and Gregor Domes. She supervises clinical work and contributes to training early-career researchers in clinical psychology, though no formal advisees are listed. Her work is supported by empirical studies and systematic reviews, contributing significantly to stress and social behavior research.

Ines Krohnمشاهده پروفایل

پژوهشگر

• Microbiology
• Biotechnology
• Marine Biotechnology
• +۵ مورد دیگر

Dr. Ines Krohn is a Research Group Leader at the University of Hamburg's Faculty of Mathematics, Informatics and Natural Sciences, specifically within the Department of Microbiology & Biotechnology. She leads the "Algae-Bacteria Interactions" research group, focusing on marine and environmental microbiology with biotechnological applications. University of Hamburg (2010-2013): Diploma in Biology University of Hamburg (2013): Dr. rer. nat. in Biology Her research spans two primary areas: 1) Utilizing aquatic and marine resources for biotechnology, particularly through metagenomic analysis of microalgal-bacterial communities to discover novel biomolecules and 2) investigating molecular mechanisms in microalgae-bacteria interactions, including biofilm formation and cell-cell communication. Current projects include MarBioTech (marine biodiversity exploration), AimM (biofilm monitoring), AquaHealth (aquaculture disease prevention), and SuReMetS (marine nutraceuticals for metabolic syndrome). Her publication record demonstrates expertise in metagenomics , biofilm inhibition , microalgal biotechnology , marine enzyme discovery , and antimicrobial applications . Notable collaborations include work with Prof. Wolfgang R. Streit and teams at Hagenbeck Zoo. She actively supervises bachelor's and master's candidates and offers thesis opportunities in metagenomics and biofilm research. Her laboratory explores both fundamental microbial interactions and applied biotechnologies , including biofilm disruption strategies for medical and industrial applications. Specific techniques include RNAseq, functional screening, and enzyme characterization from marine sources.

Elizabeth Borerمشاهده پروفایل

استاد

• Community Ecology
• Global Change Biology
• Ecosystem Functioning
• +۳ مورد دیگر

Elizabeth Borer is a Regents Professor and Distinguished McKnight University Professor at the University of Minnesota , affiliated with the College of Biological Sciences and the Department of Ecology, Evolution, and Behavior . She co-leads the Borer-Seabloom Lab , focusing on global change impacts on ecological communities through networks like NutNet and DRAGNet . Research Interests : Community ecology and trophic interactions Disease ecology in plant communities Nutrient cycling and eutrophication effects Stoichiometry across ecosystems Global-scale biodiversity and ecosystem functioning Scientific Awards : Fellow of the Ecological Society of America Fellow of the American Association for the Advancement of Science Regents Professor Distinguished McKnight University Professor John & Abigail Wardle Chair in Microbial Ecology Article Trends : Her recent work emphasizes nutrient enrichment , disease transmission , grassland stability , microbial community dynamics , climate change impacts , and cross-scale ecological interactions . Collaborative networks and global-scale experiments underpin her research. Advising & Grants : Dr. Borer mentors lab members and co-leads large collaborative projects. She has secured grants through networks like NutNet and DRAGNet , focusing on ecosystem responses to global change . Labs & Teams : She is a core member of the Borer-Seabloom Lab , which investigates community ecology and disease dynamics in grasslands. The lab collaborates globally and emphasizes inclusive research practices and diverse scientific environments .

Jie Dingمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Statistics
• Scientific Computing
• +۶ مورد دیگر

Jie Ding is an Associate Professor at the University of Minnesota's School of Statistics with graduate faculty appointments in Electrical Engineering, Computer Science, and the Data Science Program. He serves as a core faculty member of the Data Science and AI Hub and holds an Amazon Scholar position with the Amazon AGI Team focusing on foundation model training. His educational background includes a Ph.D. in Engineering Sciences from Harvard University (2017), postdoctoral work at Duke University (2018), and a B.S. from Tsinghua University where he participated in both the Math & Physics Academic Talent Program and Electrical Engineering program. Ding's research sits at the intersection of artificial intelligence, statistics, and scientific computing, with focus areas including Agentic AI for autonomous data science workflows, AI Foundations for interpretability and trustworthiness, Scalable Modeling for broader AI accessibility, Decentralized and Collaborative AI systems, and AI Safety addressing privacy and security concerns. He developed the STAT 8931 Generative AI course with open-source materials available at genai-course.jding.org . His recent publications demonstrate strong activity across multiple AI subfields, particularly in value alignment (MAP framework), AI safety mechanisms, federated learning innovations, and statistical foundations for modern AI systems. The breadth of venues (ICML, ICLR, NeurIPS) indicates significant impact across the AI research community. NSF CAREER Award (2024) Army Early Career Program (Young Investigator) Award (2023) Cisco Research Award (2022-25) AWS Cloud Credits for Research (2021-22) Meta/Facebook Faculty Research Award (2021-22) UMN Thank-A-Teacher Teaching Award (2019-20) Ding leads the Agentic AI for Data Science Benchmark initiative, collaborating with University of Minnesota colleagues and Minnesota industry partners to evaluate AI agent capabilities across healthcare, insurance, retail, energy and other sectors. His research group actively recruits PhD students interested in AI/Statistics intersections, with focus on developing theoretically grounded yet practically impactful AI systems.

Samia Chreimمشاهده پروفایل

استاد

• Change Management
• Organizational Identity
• Health Care Management
• +۵ مورد دیگر

Samia Chreim is a Full Professor holding the Ian Telfer Professorship of Organization Studies at the Telfer School of Management, University of Ottawa. She earned her B.Com. and M.Sc. from Lebanese American University and a Ph.D. from HEC Montréal. With affiliations at Telfer since 2006, she teaches courses on change management, organization theory, and qualitative research methods across business and health management domains. Her research bridges business management and health care management, employing qualitative approaches to study change dynamics, identity construction, leadership, and collaborations. Key areas include: Boundary practices in organizational settings Change theory implementation Collective leadership models Health system management innovations Professional and entrepreneurial identity formation Her publications demonstrate persistent focus on organizational adaptation during crises (especially COVID-19), health system reforms, and indigenous wellbeing. Recent work emphasizes virtual collaboration, mental health support systems, and public sector innovation, predominantly using qualitative and mixed methodologies. Awards include: Academy of Management recognition for organizational change research Administrative Sciences Association of Canada award Top 10 article honors in Human Relations and BMJ Quality & Safety Significant funded research projects: PI for SSHRC/Telfer-funded studies on Medical Assistance in Dying (MAiD) sustainability ($40,000) PI for SSHRC grants on virtual peer support during COVID-19 ($24,675) and inter-organizational communities ($98,566) Co-PI for CIHR projects on indigenous suicide prevention ($237,480) and healthcare reform analysis ($362,891)

• Music Psychology
• Musicology
• Cognitive Psychology
• +۱ مورد دیگر

Andreas C. Lehmann is a Professor of Systematic Musicology and Music Psychology whose research bridges cognitive science, performance studies, and psychological mechanisms of musical experience. While his institutional affiliation remains unspecified in the provided text, his collaborative network includes prominent researchers from the University of Hamburg, Hanover University of Music, Drama and Media, and State University of Music and Performing Arts Stuttgart. Lehmann's scholarly focus centers on empirical investigations of music's cognitive and physiological impacts, with particular emphasis on deliberate practice efficacy, neurocognitive aspects of musical training, and music-induced emotional modulation of pain perception. His methodological approach integrates meta-analytic techniques, psychophysiological measurements, and longitudinal observational studies to dissect performance science and music cognition phenomena. Analysis of his publication record reveals a consistent trajectory examining how structured musical engagement shapes human cognition and physiological responses. His work demonstrates specialized attention to gender-differentiated effects in music-induced arousal, neural adaptations from early musical specialization, and quantifiable relationships between practice intensity and achievement metrics—contributing foundational insights for evidence-based music education and therapeutic applications.

Cecilia Wallerstedtمشاهده پروفایل

استاد

• Early Childhood Education
• Music Education
• Aesthetic Education
• +۷ مورد دیگر

Cecilia Wallerstedt is a Professor at the University of Gothenburg, affiliated with both the Artistic Faculty at the Academy of Music and Drama and the Department of Education, Communication and Learning. As Pro-Dean of the Artistic Faculty, she bridges artistic and educational research, while leading the FILUR project focused on imagination development in early childhood education. Her research explores teaching and learning in music and other aesthetic subjects across educational levels, emphasizing teacher-child interactions and sociocultural theory. Current projects address play-responsive teaching, intergenerational play dynamics, and digital media integration in preschool settings. She supervises PhD students in the PReCEC graduate school and collaborates with Nordic institutions through networks like the Studies of Artistic Vision and the Network for Internship Development. Recent publications highlight play-responsive didaktik, metacognitive strategies, and cultural historical theory applied to music, narrative play, and multilingual engagement. While no scientific awards are mentioned, her work includes EU-funded research and systematic reviews of music education practices.

John Kammeyer-Muellerمشاهده پروفایل

استاد

• Organizational Behavior
• Human Resources Management
• Socialization and Onboarding
• +۴ مورد دیگر

John Kammeyer-Mueller holds the Curtis L. Carlson Professorship of Industrial Relations in the Department of Work and Organizations at the University of Minnesota's Carlson School of Management. A leading scholar with over 50 peer-reviewed publications, he specializes in organizational behavior and human resources research with emphasis on evidence-based HR practices. He earned his PhD in Human Resources and Industrial Relations from the University of Minnesota in 2002, establishing his academic foundation at the institution where he now holds an endowed chair. His research program critically examines socialization and onboarding dynamics, personality influences on workplace behavior, career trajectory development, and the interplay of attitudes and emotions in organizational contexts. A distinctive thread throughout his work explores how interpersonal relationships with colleagues and supervisors shape new employees' long-term environmental perceptions and adjustment patterns. Analysis of his recent publications reveals intensifying focus on quantitative methodologies including meta-analysis and machine learning applications, with growing attention to turnover dynamics, newcomer adjustment processes, and the integration of work-nonwork domain interactions in contemporary HR scholarship. Kammeyer-Mueller provides academic leadership as Director of the Center for Human Resources and Labor Studies and previously served as Faculty Director for the Master of Human Resources and Industrial Relations program. His industry impact extends through consulting engagements with organizations including Minneapolis Public Schools, Minnesota Department of Economic Security, Florida Nurses Association, and corporations such as 3M, Merck, and General Mills. He maintains active scholarly service through editorial roles including past Associate Editorship of Personnel Psychology (2017-2020) and current positions on the editorial boards of Journal of Applied Psychology and Organizational Research Methods.

• Evidence Synthesis
• Meta-Analysis
• Health Research Methodology
• +۳ مورد دیگر

Assistant Professor in the Department of Anesthesia and Department of Health Research Methods, Evidence, and Impact at McMaster University's Faculty of Health Sciences. Her research focuses on evidence synthesis and evaluation to guide complex healthcare and public health decisions through systematic reviews and meta-analyses. Research Interests Evidence Synthesis: Developing methodologies for integrating conflicting health research findings Meta-Analysis: Specializing in network meta-analyses for comparative treatment effectiveness Public Health Decision-Making: Translating evidence into actionable health policies Clinical Epidemiology: Addressing methodological challenges in health research interpretation Systematic Reviews: Optimizing approaches for rapidly evolving evidence landscapes Recent publications (2023-2025) demonstrate expertise across respiratory medicine, hematology, ophthalmology, and public health, with emphasis on methodological rigor in evidence synthesis. Her work consistently addresses the challenge of conflicting evidence and rapid publication cycles in health research. Awards Gairdner Early Career Investigator Award for contributions to evidence-based healthcare Her scholarly activity includes developing risk-of-bias instruments like ROBUST-RCT and contributing to clinical practice guidelines. Current projects include living systematic reviews for long COVID management and methodological improvements in nutritional epidemiology. She teaches Statistics & Epidemiology courses and maintains active collaborations across multiple medical specialties.

Sandra Diaz Pierمشاهده پروفایل

پژوهشگر

• Computational Neuroscience
• High Performance Computing
• Machine Learning
• +۳ مورد دیگر

Dr. Sandra Diaz Pier is a Scientific Lead at the Jülich Supercomputing Centre (JSC) within the Jülich Research Centre , Germany. Specializing in computational neuroscience , high performance computing (HPC) , and machine learning , she bridges neuroscience and advanced computational methods through her research. Education: B.Sc. in Electronic Systems Engineering, Mexico M.Sc. in Computer Science (focus: machine learning, quantum computing), Mexico Second M.Sc. in Electrical Engineering, Ontario, Canada Ph.D. in Computer Science, Germany (2021) Her research focuses on modeling and simulating brain dynamics and plasticity at multiple scales, leveraging HPC to accelerate large-scale neural network simulations. She actively contributes to EU projects like the Human Brain Project (HBP) , Virtual Brain Cloud , and EBRAINS 2.0 , emphasizing infrastructure development and educational training. Her work includes open-source tools such as the NEST simulator , The Virtual Brain , and L2L , enabling efficient parameter exploration and multiscale co-simulation frameworks. The 15 most recent publications highlight her interdisciplinary approach, spanning topics from quantum computing in biomolecular simulations to neural plasticity algorithms and cloud-based brain modeling . These articles reflect her expertise in integrating machine learning , multi-scale simulation , and HPC infrastructure for neuroscience challenges, including seizure propagation, Parkinson’s disease progression, and swarm intelligence in spiking networks. She leads technical coordination in projects like EBRAINS and serves as a task leader in the HBP infrastructure work package , while also organizing workshops and hackathons for open-source tools. Her role involves supporting domain scientists through methodological research and workflow optimization for brain simulations.