Dr. Caitlin Meyer is an Assistant Professor of Dutch Linguistics at the Faculty of Humanities, University of Amsterdam (UVA), specializing in language acquisition and theoretical linguistics. Her research focuses on syntactic development, numerical cognition, and pragmatic particle usage in Dutch, with significant contributions to understanding verb clusters and ordinal number acquisition. Education: PhD in Linguistics from UVA Research: Language acquisition, Dutch syntax, cognitive development, experimental linguistics Collaborations: Engaged with Leiden University Centre for Linguistics (LUCL) for interdisciplinary research Her recent publications analyze Dutch verb cluster acquisition (2015-2020), ordinal number learning strategies (2016-2021), and pragmatic particle development (2017). She employs experimental methods and cross-linguistic comparisons in her work, leveraging LUCL's Phonetics, EEG, and Eye-tracking labs. While no formal awards are listed in this dataset, her research has been published in key academic outlets. She contributes to teaching through formal programs at University of Amsterdam and participates in LUCL's educational initiatives.
Christian Smit is a Professor at the Faculty of Science and Engineering at the University of Groningen, where he leads the Smit group - Experimental Conservation Ecology. His research focuses on species interactions and their consequences for ecosystem dynamics, biodiversity, and spatial organization of natural communities. His educational background includes BKO certification, and he has received the prestigious NWO Rubicon Fellowship in 2006. Smit's work contributes significantly to UN Sustainable Development Goals related to environmental conservation and sustainability. Specializes in large-scale field studies in ecosystems where large herbivores play important roles Investigates facilitation (positive species interactions) and how these are shaped by biotic and abiotic factors Studies how predators (wolves, feral cats) and humans affect prey behavior through 'ecology of fear' concepts Works on conservation applications including rewilding initiatives His recent research output spans ecological interactions in diverse ecosystems including salt marshes, grasslands, forests, and floodplains. Smit's publications demonstrate strong focus on understanding how human interventions and natural processes shape biodiversity patterns, with particular attention to conservation applications. His work connects fundamental ecological concepts with practical conservation strategies. NWO Rubicon Fellowship (2006) Extensive media presence with 73 press/media mentions on ecological topics Regular contributor to public discourse on biodiversity conservation Professor Smit supervises numerous MSc students on research projects related to ecology and conservation, with over 50 students listed from 2010-2023. He currently coordinates major research initiatives including CurveBend-NL (2025-2032) and TRICMA² (2024-2028), focusing on collective action for biodiversity conservation and sustainable management of coastal ecosystems. His laboratory work connects field observations with conservation practice through experimental approaches in multiple ecosystem types.
Antal van den Bosch is a Professor of Language, Communication, and Computation at Utrecht University’s Faculty of Humanities. He also serves as Board Member and Domain Chair for Social Sciences and Humanities at the Dutch Research Council (NWO). His career includes roles as Director of the Meertens Institute (KNAW) and professorships at Radboud University and Tilburg University. His research focuses on machine learning and computational linguistics, particularly Generative AI and Large Language Models. He emphasizes interdisciplinary collaboration, exploring intersections between AI and societal challenges like governance and cultural heritage. Education: Ph.D. in Advanced Computing Sciences at Maastricht University. Key affiliations include guest professorships at the University of Antwerp’s CLiPS and fellowships with EurAI and the Royal Netherlands Academy of Arts and Sciences. Research Interests: Generative AI and LLMs Language Technology Cultural AI Social Implications of AI Historical Language Analysis Articles Trends: Recent work addresses AI governance, societal impacts of generative models, and computational methods in humanities research. Projects like Better-Mods and Cultural AI Lab highlight applied AI for societal benefit. Awards: Vici Grant (NWO), KULAK Francqui Chair, and membership in prestigious academic societies. Advising & Grants: Supervises over 20 Ph.D. students. Leads projects on AI moderation tools, cultural heritage digitization, and digital humanities infrastructure. Notable grants include NWO-funded Better-Mods and Horizon 2020 initiatives like HiTiME and TwiNL. Labs/Teams: Active in CLARIAH, Nederlab, and the Digital Humanities Lab (KNAW). Software contributions include Frog (Dutch NLP suite), T-Scan, and Colibri Core.
Roberta D'Alessandro is a Professor of Linguistics/Syntax and Language Variation at Utrecht University's Department of Languages, Literature and Communication, and Head of the Linguistics section. She leads the research group 'Language Structure: Variation and Change' within the Institute for Language Sciences (ILS). Her work focuses on syntactic variation, heritage language syntax, and microvariation in Italo-Romance and Indo-Aryan dialects. She is editor-in-chief of Isogloss and Grammars and Sketches of the World's Languages/Romance , and president of Going Romance . Her research explores syntactic theory through heritage language data, language contact in migration contexts, and the syntax-phonology interface. Awards include the Knight of the Italian Republic (2014) and membership in the Global Young Academy (2014–2019). She coordinates EU policy initiatives and advises on ethical research practices. Education: Ph.D. in Linguistics (not explicitly stated, inferred from career) Grants: ERC Consolidator Grant (Microcontact Project), NWO VIDI (2010–2015), Marie Curie Fellowship (2005–2007) Recent work emphasizes ethical considerations in theoretical linguistics and the integration of fieldwork with formal syntactic analysis. She collaborates internationally, leading projects on endangered languages and linguistic microvariation.
Patrick J.F. Groenen is a full Professor of Statistics at the Erasmus School of Economics (ESE), Erasmus University Rotterdam , and currently serves as its Dean. His academic career spans leadership roles, including Director of the Econometric Institute (2014-2020) and President of the International Association for Statistical Computing (2015-2017). He has held visiting positions at Stanford University and contributed extensively to multidimensional scaling (MDS), data science , and statistical genetics . His research focuses on numerical algorithms for MDS, support vector machines , and optimization techniques applied to diverse fields. He is a founding editor of the open-access journal Journal of Data Science, Statistics, and Visualisation and has authored major textbooks including Modern Multidimensional Scaling and Applied Multidimensional Scaling and Unfolding . His work appears in top journals like Nature Genetics , Psychometrika , and Journal of Machine Learning Research . Recent publications highlight advancements in convex clustering , genomic prediction , and robust statistical methods . He has developed influential R packages such as GenSVM , SVMMaj , and smacof for multiclass classification and MDS software. His supervisory record includes 14 PhD students across economic psychology, genetics, and data science. Academic activities include editorial roles at Advances in Data Analysis and Classification and Psychometrika , alongside organizing international conferences like CARME 2007 on correspondence analysis. His contributions to nonlinear biplots and response style modeling have advanced visual data interpretation in social sciences.
Luís Lima Valente is an Associate Professor at the University of Groningen and Senior Researcher at Naturalis Biodiversity Center. His work focuses on island biogeography, phylogenetics, and biodiversity dynamics. He leads the Biodiversity Hotspots group at Naturalis and co-leads the Theoretical & Evolutionary Community Ecology group at GELIFES. His research combines fieldwork, genomic data, and computational modeling to study evolutionary processes in island and continental ecosystems. Education: PhD in Evolutionary Biology (2010, Royal Botanic Gardens Madrid), MSc in Ecology, Evolution & Conservation (2006, Imperial College London), BSc in Biology (2005, University College London). Research Interests: Island biodiversity patterns, historical biogeography, phylogenetic methods, and the interplay between climate and evolutionary processes. Key projects include the DAISIE software package for island biogeography analysis and studies on radiations of island birds/plants. He has advised over 30 PhD/MSc students and postdocs, focusing on island systems like the Canaries, Mascarenes, and Caribbean. Awards: Marie Curie Fellowship (2011-2013), Humboldt Fellowship (2013-2016), Martin Temminck Fellowship (current). His lab actively collaborates globally, with fieldwork in Bioko, Mauritius, and the Azores. Current focuses include mountain plant radiations and the impact of climate oscillations on biodiversity.
Prof. dr. Jeroen de Mast is a faculty member at the University of Amsterdam (UvA) , affiliated with the Faculty of Economics and Business and the Section Business Analytics . His research focuses on Lean Six Sigma , statistical engineering , and diagnostic problem solving , with applications in healthcare operations and industrial processes. He has authored numerous publications on topics such as variation reduction, measurement systems, and quality improvement frameworks. Academic Rank: Professor Contact: j.demast@uva.nl Research Trends (2019–2025): His work spans operational excellence , appointment scheduling optimization , and statistical validation , emphasizing interdisciplinary collaboration between statistics, healthcare, and business analytics. Key methodologies include DMAIC , DAPS diagrams , and adaptive polynomials .
Dr. Sonja de Zwarte is an Assistant Professor in the Department of Psychology within the Faculty of Social and Behavioral Sciences at Utrecht University. Her office is located in the Martinus J. Langeveld building at Heidelberglaan 1 in Utrecht. She maintains an active research program focusing on developmental psychology and neuroscience, with particular emphasis on early childhood development and brain imaging. Her research interests span multiple interconnected domains including the critical first 1001 days of child development, prenatal brain development, schizophrenia and bipolar disorder research, genetic risk factors, and the application of artificial intelligence in behavioral analysis. Her work often involves large-scale collaborative efforts through international consortia such as ENIGMA (Enhancing Neuro Imaging Genetics Through Meta Analysis), which enables powerful analyses of brain structure and function across thousands of participants worldwide. Dr. de Zwarte's publication record demonstrates consistent productivity with numerous high-impact publications in top neuroscience and psychiatry journals. Her recent work shows a clear trajectory integrating advanced neuroimaging techniques with genetic analysis to understand developmental pathways in both typical and at-risk populations. She has made significant contributions to understanding how genetic risk factors manifest in brain structure and cognitive function, particularly in relation to schizophrenia and bipolar disorder. Her methodological expertise spans both traditional neuroimaging analysis and cutting-edge applications of artificial intelligence to behavioral data, as evidenced by her recent work on automated segmentation of fetal brain structures using deep learning and automated analysis of parent-child interactions. This interdisciplinary approach positions her work at the intersection of developmental psychology, clinical neuroscience, and computational methods.
Thijs van Keulen is a Part-time Assistant Professor at the Mechanical Engineering Department of Eindhoven University of Technology (TU/e), affiliated with the Control Systems Technology Group under the supervision of Professor W.P.M.H. Heemels. He also holds an ancillary position as Mechatronics Engineer at ASML since 2018. MSc in Mechanical Engineering (Delft University of Technology, 2007) PhD in Mechanical Engineering (TU/e, 2011) Research Interests : Thijs specializes in optimal control theory , focusing on constrained systems and extremum seeking control . His work bridges theoretical development with industrial applications in hybrid vehicles , heavy-duty powertrains , and high-performance mechatronic systems . Key contributions include modeling solutions for emissions reduction, fuel efficiency improvements, and adaptive feedforward parameter learning frameworks for industrial machinery. Article Trends : His research spans control systems engineering with a focus on hybrid transportation technologies and industrial automation . Recent publications highlight applications of Pontryagin's Minimum Principle to eco-driving challenges, recursive learning in high-tech motion systems, and robust control frameworks for varying reference trajectories, demonstrating interdisciplinary impact across automotive, industrial, and applied mathematics domains. Grants & Collaborations : His work has been supported by the Dutch Research Council (NWO) and Project NEON (17628). Collaborations with DAF Trucks N.V. (2011-2018) and ASML emphasize industry-academia partnerships.
Dr. Nike Stam is an Assistant Professor in Celtic Studies at Utrecht University, specifically within the Department of Languages, Literature and Communication in the School of Humanities. She is affiliated with both the Celtic and Classics section and the Medieval Culture research group at the Institute for Cultural Inquiry. Utrecht University, Department of Languages, Literature and Communication Celtic and Classics research group Medieval Culture research group Board member of the Postdoc Network Utrecht Board member at the A. G. van Hamel Foundation for Celtic Studies Dr. Stam's research focuses on medieval Celtic languages and literature, with particular expertise in medieval Irish orthography, scribal practices, and historical code-switching. Her work combines linguistic analysis with manuscript studies to understand how medieval Irish scribes interacted with their texts. She has developed significant expertise in analyzing how scribes deliberately altered orthography to make texts appear older ('downdating'), using sociolinguistic frameworks to interpret these practices. Her research output demonstrates consistent engagement with both academic and public audiences, blending rigorous scholarly analysis with accessible presentation of Celtic studies topics. Dr. Stam's publications and presentations show a clear trajectory from her doctoral work on code-switching to her current Veni project on orthographic practices, with increasing methodological sophistication including digital approaches like multispectral imaging. NWO Veni postdoctoral project on orthographic downdating in medieval Irish manuscripts Extensive work on the Leiden manuscript VLQ7 containing Fled Bricrenn Integration of sociolinguistic theory with paleographic analysis Application of digital humanities methods to manuscript studies Dr. Stam actively engages with the academic community through conference presentations, seminar organization, and editorial work. She is particularly committed to public outreach, developing numerous workshops and public events to make Celtic studies accessible beyond academia. Her work demonstrates strong interdisciplinary connections between linguistics, literature, history, and digital humanities.
Prof. Yiya Chen is a Professor of Phonetics at Leiden University's Humanities Centre for Linguistics. Her research focuses on the interdisciplinary study of speech melody and pitch variation, particularly in tonal languages like Chinese. She explores cognitive and neural mechanisms underlying speech communication, with expertise in prosody perception and multilingualism. Her work combines acoustic analyses, behavioral experiments, and neurophysiological methods (e.g., EEG). She holds a PhD from Stony Brook University and has held academic positions at the University of Edinburgh and Radboud University. She has supervised numerous PhD candidates and led major grants, including a Vici grant from NWO. Key projects include studying tone sandhi in Chinese dialects and neural encoding of prosodic variation. Education: PhD in Linguistics (Stony Brook University, 2003), MA (Stony Brook University), BA (Beijing Foreign Studies University) Grants: Vici (2019), ERC Starting Grant (2008–2014), VIDI (2008–2013) Her research interests span experimental phonetics, descriptive linguistics, and the interaction between tone and focus in speech.
Dr. V. Menkovski serves as an Associate Professor in Data Mining at Eindhoven University of Technology's Department of Mathematics and Computer Science. He also holds associate professor positions with EAISI Health and EAISI High Tech Systems, and is an ICMS Affiliated member. His work spans multiple domains of artificial intelligence and computational physics, with significant contributions to fusion energy research. Mathematics and Computer Science, Data Mining (Primary Appointment) EAISI Health (Associate Professor) EAISI High Tech Systems (Associate Professor) ICMS (Affiliated Member) Menkovski's research focuses on Graph Neural Networks, Machine Learning, Deep Learning, and their applications in diverse fields from plasma physics to metamaterials. His work demonstrates strong interdisciplinary connections, particularly between computer science and fusion energy research. He has developed novel approaches for crowd simulation, tokamak plasma monitoring, and metamaterials homogenization using advanced neural architectures. His fingerprint reveals expertise in Quality-of-Experience, Autoencoders, Neural Networks, Annotation, Graph Neural Networks, Video Streaming, Adversarial Machine Learning, and Anomaly Detection. Analysis of his recent publications (2023-2025) shows a clear trend toward applying Graph Neural Networks to complex physical systems, particularly in fusion energy research and materials science. His work increasingly integrates symmetry principles with neural architectures, as seen in his research on equivariant networks for metamaterials and symmetry-informed networks for zeolite analysis. There's also significant focus on practical applications in fake news detection, anomaly detection, and plasma state monitoring. Best Paper Award ICPM 2021 (with Sommers and Fahland) Best Paper Award of LoG 2022 (with multiple co-authors including Huang, Chen, Fang, Zhao, Yin, Pei, Mocanu, Wang, Pechenizkiy, and Liu) Menkovski teaches several advanced courses including Deep Learning, Advanced Topics in Artificial Intelligence, and Sociophysics 2, which runs through August 2025. His supervised work portfolio includes 79 projects, indicating substantial mentorship activity. He has received significant media attention for his research, including coverage by 11 news outlets, blog posts, and mentions on social media platforms. His work on 'Supervised Learning of Process Discovery Techniques Using Graph Neural Networks' was particularly noted in media coverage. His research involves collaboration with multiple institutions and teams, particularly in fusion energy research (Eurofusion Tokamak Exploitation Team, ASDEX-Upgrade team, EUROfusion MST1 Team). He works closely with researchers across disciplines, including physicists working on tokamak plasma and materials scientists studying metamaterials and zeolites.
Prof. Kees Aarts is a Professor of Political Institutions and Behaviour at the University of Groningen's Faculty of Behavioural and Social Sciences. He previously served as Dean of the Faculty until August 2024 and held academic roles at the University of Twente from 1985-2016. His expertise spans democracy, electoral behavior, and political methodology. Aarts earned his Bachelor and Master degrees from the University of Amsterdam (1979, 1985) and a PhD from Twente (1990). Research Interests: Democracy and its institutional frameworks Electoral behavior and voter dynamics Comparative politics and policy responses Political communication and media effects Survey methodology and data quality Scientific Awards: Elected Member of the Royal Netherlands Academy of Arts and Sciences (KNAW) Elected Member of the Royal Holland Society of Sciences and Humanities (KHMW) Recent Work Focus: His recent articles analyze pandemic policy responses, citizen satisfaction with democracy, and media's role in political legitimacy. He also investigates methodological challenges in survey research and democratic institutions. Additional Roles: Member of the Province Groningen Referendum Committee
Inna Majoor-Kozlinska is an Assistant Professor at the University of Groningen's Faculty of Economics and Business, focusing on entrepreneurship education and entrepreneurial identity. She holds an additional role as Associate Professor at RISEBA University of Applied Sciences (Latvia) and serves as Editor-in-Chief of the Journal of Business Management since 2021. Her expertise spans entrepreneurship education, entrepreneurial well-being, and academic entrepreneurship's societal impacts. Education: Joint PhD from the University of Turku (Finland) and University of Tartu (Estonia), specializing in entrepreneurship education outcomes. She has conducted research across Europe, including Latvia, Estonia, Finland, the UK, and the Netherlands. Research Interests: Entrepreneurial identity formation in academic contexts Impact of music education on entrepreneurial potential Experiential entrepreneurship pedagogy's role in graduate outcomes Psychological dimensions of entrepreneurial well-being Social entrepreneurship's regional impact mechanisms Editorial Roles: Member of the Journal of Business Management editorial board since 2018 and expert evaluator for the Latvian Council of Science (2022–2025). Advising & Grants: Has led studies evaluating entrepreneurship education effectiveness in post-transition countries and explored hybrid identities among university researchers. Collaborates widely with European institutions. Labs/Teams: Active in interdisciplinary research groups focusing on entrepreneurship education metrics and academic entrepreneurship ecosystems.
Kyla McConnell is a Postdoctoral Researcher in the Department of Psychology of Language at the Max Planck Institute, where she investigates individual differences in language production and comprehension. Her work involves developing standardized linguistic and cognitive task batteries for English speakers, intended for broader research use. Her research interests lie at the intersection of psycholinguistics and cognitive science, with a strong emphasis on probabilistic language processing , usage-based linguistics , and advanced statistical methods . She explores how individuals differ in their language processing pathways and how these variations interact with general cognitive abilities and processing styles. Ph.D. research conducted in Freiburg, Germany, supervised by Alice Blumenthal-Dramé Undergraduate studies at the University of North Carolina at Chapel Hill Supported by the prestigious German Academic Scholarship Foundation (Studienstiftung) Kyla is actively engaged in promoting open and inclusive science, serving as an Open Science Ambassador and as a member of both the Diversity, Equity and Inclusion (DEI) Committee and the Research Staff Committee at the MPI. Her institutional service reflects a strong commitment to research integrity, transparency, and equitable practices in academic environments. She maintains a public GitHub profile ( kyla-mcconnell/kyla-mcconnell ) where her tools and resources are shared.
