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Dennis van t EntView profile

Associate Professor

• Genetics
• Neuroimaging
• Behavioral Psychology
• +3 more

Dr. Dennis van t Ent is an Associate Professor at the Faculty of Behavioural and Movement Sciences in the Department of Biological Psychology at Vrije Universiteit Amsterdam (VU). He also serves as the Director of the Psychology Bachelor’s Program at VU. His research focuses on the intersection of genetics, neuroimaging, and behavior, particularly investigating heritability of brain structure/function and environmental influences using the Netherlands Twin Register (NTR). Education: Bachelor’s in Physics and Astronomy (specializing in Medical Physics) at University of Amsterdam PhD in Cognitive EEG Recordings from Erasmus University Rotterdam Postdoctoral training in Magnetoencephalography (MEG) at VU Medical Center Research Interests: Dr. van t Ent explores how genetic and environmental factors shape brain and behavior across the lifespan. Key areas include: Genetic architecture of brain morphology Epigenetic influences on brain aging CNVs and psychiatric disorders Longitudinal neuroimaging analysis His work integrates neuroimaging techniques (MRI, MEG) with behavioral data, emphasizing large-scale collaborative studies like ENIGMA. Articles Trends: Recent publications emphasize polygenic scores, brain age prediction algorithms, and CNV effects on brain structure. A focus on methodological advancements in neuroimaging harmonization and lifespan modeling is evident across studies. Awards: William Cobb Young Investigator Paper Award (2003) Teaching & Administration: Over 20 years of teaching experience, coordinating courses in: Biological and Cognitive Psychology Brain Imaging Genetics Leads curriculum modernization projects for statistical software adoption. Active in assessment quality assurance, serving in roles such as Psychology Examination Board chair and accreditation processes. Labs/Teams: Core member of the Netherlands Twin Register (NTR), ENIGMA Consortium, and Amsterdam Neuroscience. Previously contributed to editorial roles for Twin Research and Human Genetics and held memberships in academic organizations like Faculteit der Psychologie en Pedagogiek (VU).

• Paediatric Neuropsychology
• Attention Deficit Hyperactivity Disorder (ADHD)
• Neuroscience
• +5 more

Jaap Oosterlaan (born 1962) is a Full Professor in Paediatric Neuropsychology at Vrije Universiteit Amsterdam, holding appointments in the Faculty of Behavioural and Movement Sciences (Clinical Neuropsychology), Amsterdam Reproduction & Development, and APH - Mental Health. His primary clinical affiliation is with the Emma Children's Hospital AMC and the Department of Paediatrics at VU Medical Center. Oosterlaan serves on the board of directors of RINO (institute for postgraduate mental health care education for North Netherlands) and is a permanent member of the Dutch Health Council since 2010. His research program spans two major domains: medical conditions affecting the central nervous system (premature birth, traumatic brain injury) and childhood disruptive behavior disorders (ADHD, antisocial behavior). Oosterlaan employs a comprehensive battery of assessment tools including computer-based paradigms measuring cognitive, motor, and academic functioning, alongside advanced neuroimaging techniques (high density EEG, structural and functional MRI, diffusion tensor imaging). His work integrates these measures into the Emma's Toolbox for brain functioning assessment. Oosterlaan has published over 280 peer-reviewed papers with an h-index of 52 (Web of Science), demonstrating consistent contributions to understanding neural mechanisms underlying developmental disorders. His recent publications show a strong focus on ADHD treatment efficacy, neurodevelopmental outcomes, and genomic influences on brain structure, with multiple high-impact publications in 2024-2025. As an academic leader, Oosterlaan has supervised 28 PhD theses and collaborates extensively across international research networks. His work contributes significantly to UN Sustainable Development Goals related to health and well-being, particularly through his research on childhood neurological and psychiatric conditions.

Imke JansenView profile

Assistant Professor

• Psychosis Research
• Social Interaction
• Adolescent Development
• +3 more

Dr. Imke Jansen is an Assistant Professor at the Vrije Universiteit Amsterdam, affiliated with the Faculty of Behavioural and Movement Sciences, Clinical Developmental Psychology, IBBA, and APH - Mental Health. Her research focuses on social interactions, psychosis, adolescent development, and mental health, utilizing fMRI and other methodologies. PhD in Psychology (VU Amsterdam, 2019) Master in Educational Sciences (Universiteit van Amsterdam, 2011) Master in Viola Performance (Koninklijk Conservatorium Den Haag, 2002) Research interests include the effects of digital social ostracism, social decision-making in health and psychosis, and trust in adolescents. She coordinates master’s programs in Clinical Neuropsychology and teaches courses like Clinical Lessons and Developmental Psychology for Pedagogues. Recent projects include investigating adolescent social interactions and mental health in digital environments (iBBA-funded), and a collaborative study on brain morphometry in clinical high-risk populations. Active in interdisciplinary collaborations, she leads projects like Boosting Societal Adaptation (2023–2028) and contributed to the A.L.I.B.I. initiative (2020–2023).

Mariëtte HuizingaView profile

Associate Professor

• Executive Function Development
• Educational Psychology
• Cognitive Development
• +3 more

Mariëtte Huizinga is an Associate Professor in the Department of Educational Science at the Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam. She also serves as Vice Dean of Education at the same faculty, focusing on enhancing student and teacher development through critical, interdisciplinary approaches. Her research centers on executive function development across childhood to young adulthood, particularly its ties to educational outcomes. Academic Qualifications: PhD in Developmental Psychology (University of Amsterdam, 2006); Master's in Developmental Psychology (University of Amsterdam, 1999). Research Interests: Executive function, cognitive processes in goal-directed behavior, teacher-student interaction, and educational neuroscience. Her work aligns with UN Sustainable Development Goals related to quality education and inclusive societies. Key Contributions: Over 88 publications, including studies on self-regulation in preschoolers, neural substrates of risk-taking in adolescents, and predictors of academic persistence. Notable collaborations span cognitive neuroscience and educational policy domains. Awards: Recipient of the 2018 grant for innovative educational practices in special needs education. Active in academic service, organizing symposia on cognitive development and educational strategies. Grants/Projects: Co-leads research on predicting learning in special education (2022–2026) and initiatives promoting human flourishing through education (2017–2020).

Jurgen HaanstraView profile

Assistant Professor

• Metabolic Regulation
• Parasite Metabolism
• Cancer Cell Metabolism
• +3 more

Jurgen Haanstra is an Assistant Professor in the Faculty of Science at Vrije Universiteit Amsterdam, specializing in Systems Biology. His research focuses on understanding metabolic control and regulation in pathogens like Trypanosoma brucei and Schistosoma mansoni , as well as cancer cells (liver and head-and-neck cancers). He explores how metabolic pathways can be targeted for drug development with minimal host toxicity. Teaching: He lectures in courses such as 'From Genome to Function' and 'Parasitology', supervising 5-10 bachelor/master students annually. He is the Program Director of the Biomolecular Sciences master’s program and Director of the Graduate School A-life. Research Highlights: His work includes experimental and computational studies on parasite metabolism, including proof-of-concept drug targeting in trypanosomes and metabolic analysis in cancer cells. He contributed to identifying glutamate excretion’s role in nucleotide synthesis for cancer growth. Awards: Received a 2022 grant for targeting metabolic pathways in head-and-neck cancer. Active in projects like the EraSysApp initiative linking metabolism and signaling in liver cancer. Labs/Teams: Associated with AIMMS (Applied and Industrial Mathematics and Systems Biology group) and collaborates on systems biology and parasitology research.

• Distributed Systems
• Serverless Computing
• GPU Programming
• +2 more

Sacheendra Talluri is a Visiting Fellow at the Faculty of Science, Vrije Universiteit Amsterdam, affiliated with the Network Institute. His research focuses on distributed systems, serverless computing, and GPU-accelerated data processing. Current affiliation: Faculty of Science, Computer Science Department, Vrije Universiteit Amsterdam Research areas: Distributed Systems, Serverless Computing, GPU Programming, Performance Engineering Talluri's recent work investigates large language model service reliability , serverless computing overheads , and GPU-optimized data processing . His research output includes methodologies for Kubernetes configuration analysis and serverless event triggers, contributing to cloud infrastructure optimization. He participates in the project 'Extreme and Sustainable Graph Processing for Urgent Societal Challenges in Europe' (2023–2025), collaborating with researchers like Alexandru Iosup and R. van Bakel.

Michel KleinView profile

Associate Professor

• Behavior Change Technology
• Health and Wellbeing
• Sensor Data Analysis
• +3 more

Dr. Michel Klein is an Associate Professor in the Department of Artificial Intelligence at the Faculty of Science, Vrije Universiteit Amsterdam, and affiliated with the Network Institute. His research focuses on leveraging technology for behavior change, particularly in health and wellbeing contexts. He explores sensor data analysis, computational decision-making for interactions, and system design to support behavior modification. He has supervised 15 PhD theses and contributed to projects like the HumanE AI Network and PROMISS. Ancillary roles include serving as a member of the Provinciale Staten Noord-Holland since 2015. Key research interests include computational models for mood regulation, social network analysis for health interventions, and gamification in mental health training. His work aligns with UN Sustainable Development Goals related to health and well-being (SDG 3) and reducing inequalities (SDG 10). Recent projects investigate Bluetooth-based social network validation, personalized physical activity coaching systems, and supermarket-based cardiometabolic risk reduction trials. Dr. Klein teaches courses such as AI and Society, Dynamic Modelling for Human-Centered Systems, and Project Situated AI. His 169+ publications span behavior change technologies, health informatics, and agent-based modeling. Notable collaborations include studies on glioma patient cognitive functioning and caregiver burden in meningioma cases.

Lin WangView profile

Assistant Professor

• Networked Systems
• Edge Computing
• Cloud Computing
• +5 more

Lin Wang is an Assistant Professor at the Department of Computer Science, Vrije Universiteit Amsterdam, and an Adjunct Professor at TU Darmstadt. His research focuses on networked systems, edge computing, cloud computing, and optimizing computer systems for applications like augmented reality. He holds a PhD from Chinese Academy of Sciences and has postdoctoral experience at SnT Luxembourg. His work contributes to UN Sustainable Development Goals related to innovation and infrastructure. Education: PhD in Computer Science (ICT, CAS), Postdoc at SnT Luxembourg Previous Roles: Head of Smart Urban Networks group at TU Darmstadt's TK Lab (2016-2018) Research interests include edge computing, in-network processing, novel network protocols, and energy efficiency. Recent work addresses latency in edge networks, IoT synchronization, and congestion mitigation in data centers. Supervised 2 PhD theses and collaborates internationally. Active in labs like the Telecooperation (TK) Lab. No ancillary activities declared.

• Bioinformatics
• Theoretical Computer Science
• Computational Biology
• +3 more

Atze van der Ploeg is an Assistant Professor at the Vrije Universiteit Amsterdam's Faculty of Science, within the Theoretical Computer Science department. He is also affiliated with the Network Institute. His research focuses on interdisciplinary topics at the intersection of computer science and computational biology, with expertise in algorithm design, bioinformatics tools, and programming languages. He holds an MSc and a PhD, though specific academic details about his degrees are not provided in the text. His teaching responsibilities include courses such as Introduction to Programming (PYTHON), Object-Oriented and Functional Programming, and Systems Programming Project. These courses reflect his commitment to foundational programming skills and advanced software development practices. Key research interests include developing tools for bioinformatics (e.g., the PRALINE alignment toolkit), functional reactive programming, and visualization systems. His work emphasizes practical, principled approaches to solving complex computational problems. Though no specific grants or awards are listed, his publications span topics like type-safe dynamic typing, modular language implementation, and algorithm optimization, showcasing contributions to both theoretical and applied computer science.

• Microglia Genetics
• Zebrafish Models
• RNA Sequencing
• +2 more

Dr. Tjakko van Ham is Associate Professor at Erasmus MC's Department of Clinical Genetics, Erasmus University Rotterdam. His research program focuses on genetic mechanisms underlying neurological and connective tissue disorders using zebrafish models and advanced sequencing technologies. Primary research domains include: Microglia function in neurodegenerative processes RNA sequencing applications in clinical diagnostics Genetic basis of neurovascular disorders Connective tissue pathology mechanisms Recent publications (2023-2024) demonstrate expertise in identifying novel genetic variants associated with complex syndromes through cutting-edge genomic approaches. Collaborative projects span multiple countries with focus on pediatric genetic disorders.

• Cardiology
• Interventional Cardiology
• Myocardial Infarction
• +3 more

Anouk Andriessen serves as a Researcher within the Department of Anesthesiology at Erasmus MC, focusing on translational medical research with emphasis on cardiovascular interventions. Her institutional affiliation positions her within a leading European academic medical center specializing in clinical and biomedical innovation. Her research program centers on Cardiology and Interventional Cardiology, specifically investigating cellular therapies for cardiac repair following acute myocardial infarction. She employs rigorous meta-analytic methodologies to evaluate treatment efficacy, with particular attention to left ventricular functional outcomes and novel regenerative approaches in interventional cardiology. Her scholarly output includes a seminal 2013 meta-analysis in Heart examining intracoronary cell therapy across randomized controlled trials. This work demonstrates consistent methodology in evidence synthesis within cardiovascular medicine, contributing to the broader disciplines of Clinical Research and Regenerative Medicine through systematic evaluation of therapeutic interventions for heart attack recovery.

• Pain Management
• Anesthesiology
• Clinical Pharmacology
• +3 more

Corinne van den Berg is a Researcher in the Department of Anesthesiology at Erasmus MC, Rotterdam, specializing in pain management research with a particular focus on Complex Regional Pain Syndrome (CRPS). Her research spans multiple critical areas in pain medicine: Pathophysiology and treatment approaches for Complex Regional Pain Syndrome Clinical pharmacology of pain medications including corticosteroids and biologics Non-pharmacological interventions for pain management Methodological approaches in pain research including randomized controlled trials and cohort studies Evidence-based treatment strategies for chronic pain conditions Dr. van den Berg's publication record demonstrates a systematic approach to understanding CRPS, examining both pharmacological treatments such as corticosteroids, glucocorticoids, and infliximab, as well as innovative non-pharmacological approaches like music therapy. Her research employs diverse methodologies including systematic reviews, retrospective cohort studies, and randomized controlled trials to build evidence for pain management interventions. She collaborates extensively with colleagues at Erasmus MC including F.J.P.M. Huygen and J. Tiemensma, contributing to a robust research program focused on improving outcomes for patients with complex pain conditions.

• Independent Component Analysis
• Clustering Methods
• Model Selection
• +5 more

Jeffrey Durieux is a Researcher at the Department of Econometrics, Erasmus School of Economics, Erasmus University Rotterdam, specializing in advanced statistical methods for brain imaging data analysis. His work bridges econometrics, computational neuroscience, and machine learning to develop novel approaches for fMRI data interpretation. His research focuses on Independent Component Analysis , clustering methodologies , and model selection for high-dimensional neuroimaging datasets. Key contributions include Clusterwise ICA (C-ICA) frameworks for identifying neurofunctional subtypes, optimization of overlapping clustering strategies, and evaluation of data reduction techniques in big-data neuroscience contexts. His methodologies particularly address challenges in resting-state fMRI analysis and subject stratification. Durieux's publication record demonstrates consistent innovation in computational neuroscience since 2019, with increasing focus on practical implementations (e.g., R packages) and methodological rigor in clustering subject populations based on brain connectivity patterns. His work shows strong interdisciplinary impact across statistics, computer science, and clinical neuroscience. Scientific recognition includes: IOPS Best Paper Award 2022 (awarded June 8, 2023) IFCS Cluster Benchmarking Challenge 2022 Collaborative research efforts with S.A.R.B. Rombouts, T.F. Wilderjans, and other neuroimaging specialists reflect his integration within major neuroscience research networks, though specific grant funding or student supervision details remain unreported in available sources.

• Neuroscience
• Neurophysiology
• Computational Neuroscience
• +3 more

Marcel Oberlaender is an Associate Professor in the Faculty of Science at Vrije Universiteit Amsterdam, holding joint appointments in the Integrative Neurophysiology department and Amsterdam Neuroscience (Cellular & Molecular Mechanisms and Systems & Network Neuroscience programs). He also serves as a Medewerker at the Max Planck Institute for Neurobiology of Behavior in Bonn since 2016. His research focuses on understanding neural circuit organization and function in mammalian cerebral cortex, combining experimental and computational approaches. Key research interests include in vivo neurophysiology, synaptic connectivity, and computational modeling of neural networks. He investigates topics such as corticothalamic neuron regulation, sparse connectivity's role in information processing, and glial-neuronal interactions in thalamic circuits. His work bridges molecular, cellular, and systems levels to uncover principles of sensory processing and network dynamics. Dr. Oberlaender has published 40+ peer-reviewed articles, with recent contributions appearing in iScience , Frontiers in Neural Circuits , and PLoS Computational Biology . His research has been recognized through collaborations with institutions globally and open-access publication practices.

Matthias WalterView profile

Assistant Professor

• Operations Research
• Optimization
• Mathematical Programming
• +5 more

Matthias Walter is an Assistant Professor in the Department of Mathematics of Operations Research. His research focuses on optimization, mathematical programming, and algorithm design, with applications in transportation, combinatorial optimization, and logistics. He contributes to the SCIP Optimization Suite and has developed the Combinatorial Matrix Recognition Library. His work spans topics such as linear programming relaxations, pseudo-Boolean solving, and multilinear optimization. Key research interests include operations research, integer programming, and algorithmic solutions for complex optimization problems. He has collaborated on projects like optimizing parcel transportation and analyzing congestion games. His recent publications address challenges in flow shop scheduling, graph realization, and pseudo-Boolean functions. Walter actively participates in academic activities, organizing events like the Mathematical Olympiad in Saxony-Anhalt and presenting invited talks on topics such as McCormick relaxations. His contributions to computational tools and theoretical advancements highlight his role in advancing optimization methodologies.