Prof. Tobias Müller is a Professor at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence at the University of Groningen. His academic journey includes previous positions at Utrecht University, CWI (Centrum Wiskunde & Informatica), Tel Aviv University, and Eindhoven University of Technology, with a doctorate from the University of Oxford under Colin McDiarmid. His research focuses on combinatorics, probability theory, random graphs, percolation, discrete and stochastic geometry, and combinatorial game theory. He has contributed extensively to understanding complex networks, hyperbolic models, and geometric random structures. Research Interests: Random Graphs and Percolation Theory Discrete and Stochastic Geometry Hyperbolic Network Models Probabilistic Combinatorics Geometric Probability Graph Algorithms and Connectivity Notable Contributions: Analysis of Voronoi and Poisson-Voronoi percolation in hyperbolic planes. Studies on Mallows random permutations and their cycle structures. Research on component games and logical limit laws in graph theory. Investigations into the geometry and properties of random geometric graphs. Grants & Collaborations: Active in organizing workshops and conferences on random graphs and geometric networks, including the BIRS Workshop on Random Geometric Graphs and the STAR Workshops series. Labs/Teams: Member of the Bernoulli Institute’s research groups, focusing on stochastic studies, combinatorics, and algorithmic methods.
Sergio Carrera serves as Senior Research Fellow and Head of the Justice and Home Affairs Unit at the Centre for European Policy Studies (CEPS), a prominent Brussels-based think tank. Additionally, he holds the position of Adjunct Professor at the Paris School of International Affairs (PSIA) in SciencesPo, France, where he contributes to academic teaching and research in international affairs. Dr. Carrera's academic background includes a Ph.D. on immigration and citizenship from Maastricht University (The Netherlands), an LL.M. in European, Comparative and International Law from the University of Maastricht, and a Law Degree from Universidad de Salamanca in Spain. His extensive educational foundation in European and international law underpins his expertise in EU justice and home affairs policy. His primary research interests focus on EU justice and home affairs (JHA) law and the Area of Freedom, Security and Justice policy, with particular emphasis on migration, asylum, citizenship, and Schengen policies. Dr. Carrera's expertise also extends to EU criminal justice law and police cooperation, examining their impacts on data protection, privacy, and the rights of the defense. His work consistently addresses the intersection between security measures and fundamental rights within the European context. Dr. Carrera has produced an extensive body of scholarly work, with over 190 published publications according to the available information. His recent research has particularly focused on EU-US data transfers, rule of law challenges in the context of migration management, global asylum governance, and the evolving landscape of EU security policy. His publications demonstrate a consistent concern with ensuring that security and migration policies uphold fundamental rights and the rule of law. Among his notable contributions are policy analyses on the European Green Deal's implications for climate policy, assessments of the EU's response to the Ukraine crisis, and examinations of the impact of the Trump administration on EU security policy. His research often bridges academic analysis with practical policy recommendations for EU institutions. Dr. Carrera leads and participates in numerous research projects addressing critical issues in EU policy. Current initiatives include "Reclaiming our past, rebuilding our future: new approaches to fighting antigypsyism" (2024-2026) and the "Study on Mapping Civil Dialogue Practices in the EU Institutions" (2024-2025). Previous significant projects include "Global Asylum Governance and European Union's Role" (ASILE, 2019-2023), "Pan-European Response to the ImpactS of COVID-19" (PERISCOPE, 2020-2023), and "IT tools and methods for managing migration FLOWS" (ITFLOWS, 2020-2023). His work has been commissioned by various EU institutions, including the European Parliament's Policy Department for Citizens' Rights and Constitutional Affairs, demonstrating the policy relevance and impact of his research. Dr. Carrera's expertise is frequently sought for task forces addressing timely issues such as EU-US data transfers, digital justice, and cross-border cooperation in criminal matters.
M.T.O. (Chiel) Jonker is an Assistant Professor at the Faculty of Veterinary Medicine , Utrecht University , affiliated with the Institute for Risk Assessment Sciences (IRAS) and its Toxicology division . He specializes in exposure assessment of hydrophobic organic chemicals (e.g., PFAS , PAHs , PCBs ), focusing on sorption processes , bioaccumulation dynamics , and passive sampling techniques in both in vivo and in vitro settings. His research emphasizes methodological innovation for high-quality chemical analysis (GC-MS, LC-MS) and environmental risk assessment . Recent work includes PFAS degradation , sediment toxicity testing , and temperature/salinity effects on contaminant partitioning. His 2018-2024 publications highlight passive sampling calibration , mechanistic toxicity models , and bioavailability prediction using polyoxymethylene and silicone rubber samplers .
Paul Boersma is a Professor of Phonetic Sciences at the University of Amsterdam within the Faculty of Humanities. His research explores how phonetic, phonological, and morphological phenomena emerge through computational modeling using artificial neural networks and Optimality Theory, with a focus on multi-level constraint interactions and distributional learning. University of Amsterdam Faculty of Humanities Phonetic Sciences Key research areas include: Computational Modeling : Simulations of phonological category emergence from phonetic data Optimality Theory : Gradual Learning Algorithm applications BiPhon Framework : Parallel bidirectional phonology/phonetics models Statistical Learning : Cross-situational and distributional learning mechanisms Recent publications emphasize: 2025: Inclusive speech recognition systems using Whisper model 2025: F0 ratio analysis for creaky voice diagnostics 2024: Prosodic clitics in child speech and checked tones in Shanghai Chinese 2023: Distributional learning in developmental language disorder contexts 2022: Substance-free phonological features and ghost segment phenomena He has also contributed extensively to the Praat software for phonetic analysis, with continuous updates since 1993.
Radu Atanasiu is a Lecturer at the Department of Management and Organisation within the School of Business and Economics at Vrije Universiteit Amsterdam. His research focuses on managerial heuristics, decision-making processes, and organizational behavior. He holds a PhD in Management, as evidenced by his 2023 doctoral thesis titled 'Simple rules made simple: The origins and outcomes of managerial heuristics.' His research interests include the application of heuristics in leadership, the integration of intuition into managerial practices, and the lifecycle of organizational proverbs. He has published extensively in journals such as International Journal of Management Reviews and Journal of Management Studies , with a focus on understanding how CEOs and managers develop and utilize simple rules in complex environments. Dr. Atanasiu's work bridges theoretical frameworks with practical managerial challenges, emphasizing the dynamic processes of heuristic formation and their impact on organizational decision-making. His contributions address topics such as emotional intelligence in leadership, informal communication, and the cultural transmission of managerial proverbs within organizations.
Anna Christina Bos - Nehles is an Associate Professor in Industrial Engineering & Business Information Systems at Maastricht University. She holds a Master's degree in International Management from the same institution (2004). Her research focuses on human resource management (HRM), innovation implementation, and organizational behavior, particularly exploring frameworks like the AMO model and Industry 4.0's societal impact. She has published extensively since 2005, with notable work on bottom-up innovation, resource mobilization, and leadership during disruptive events like the pandemic. Her research interests span manager roles in innovation, employee motivation dynamics, and organizational adaptation to technological change. She actively participates in academic networks, delivering invited talks on topics such as HRM-innovation integration and Industry 4.0 strategy development.
Francesca Grisoni serves as an Assistant Professor in the Department of Biomedical Engineering at Eindhoven University of Technology (TU/e), where she currently leads the Molecular Machine Learning team. She additionally holds appointments as an ICMS Core member and Associate Professor at EAISI (Eindhoven Artificial Intelligence Systems Institute), reflecting her cross-disciplinary role at the intersection of computational science and biomedical applications. Academic Background : Grisoni completed her Environmental Sciences degree and earned a Ph.D. in 2016 from the University of Milano-Bicocca, where her dissertation focused on interpretable machine learning for molecular property prediction. During doctoral studies, she conducted research at ETH Zurich's Department of Chemistry and Applied Biosciences and the U.S. EPA's National Center for Computational Toxicology. Ph.D., University of Milano-Bicocca, 2016 (Dissertation: Interpretable machine learning for molecular property prediction) Environmental Sciences, University of Milano-Bicocca Her research integrates artificial intelligence, chemistry, and biology to develop computational methods for drug discovery, emphasizing wet-lab experimental validation alongside algorithmic innovation. Key focus areas include overcoming activity cliffs in molecular machine learning, generative modeling for scaffold hopping, and AI-augmented decision-making in therapeutic development, with the ultimate goal of achieving 'better decisions faster' in drug discovery pipelines. Analysis of her recent 2025 publications reveals a concentrated trend toward chemical language models and generative deep learning frameworks, specifically addressing low-data drug discovery challenges through active learning and neural network architectures. These works bridge computer science with pharmacology, targeting bioactivity prediction, molecular representation, and enzyme design while maintaining strong ties to experimental validation. Scientific Awards : Lush Young Researcher Prize Early Career Award 2022 from the Dutch Royal Netherlands Academy of Arts and Sciences (KNAW) ERC Starting Grant (2022) Grants and Supervision : Dr. Grisoni secured the prestigious ERC Starting Grant in 2022 to advance her molecular machine learning research. Institutional records indicate she has supervised 7 students (as shown in TU/e's 'Supervised Work (7)' repository section), though specific names aren't provided in the source material. Her group maintains active industry collaborations, including past engagement with Bracco Pharmaceuticals. Laboratory and Team : The Molecular Machine Learning team operates under the ICMS and EAISI frameworks, merging computational AI development with experimental wet-lab validation. This collaborative unit focuses on fragment-based molecular design, chirality representation (evidenced by fragSMILES work), and high-throughput nanoparticle identification using machine learning, as highlighted in recent press coverage and datasets.
Maria C.W. Peeters serves as a Full Professor at Eindhoven University of Technology (TU/e) within the Department of Industrial Engineering and Innovation Sciences, specifically the Human Performance Management Group. She concurrently holds an Associate Professor position at Utrecht University in the Department of Social, Health and Organizational Psychology, reflecting her dual institutional engagement in Work and Organizational Psychology. Her educational background includes: MSc in Health Sciences from Maastricht University PhD from Radboud Universiteit Nijmegen (dissertation: effect of social support on work stress) Peeters' research investigates sustainable workforce performance through the critical lens of worker diversity in high-tech environments. She specializes in worker (ill)health and well-being, work engagement, sustainable employability, job crafting interventions, work-life balance dynamics, and tailored technological innovation implementation. Her work emphasizes adapting technologies to accommodate older workers, those with lower educational levels, and disabilities to extend labor market participation. Recent publications (2025) analyze psychosocial safety climate and the DISC model for office workers, while earlier studies (2018-2015) focused on job crafting transmission and intervention efficacy. Her research consistently employs quantitative methodologies like regression analysis within the Job Demands-Resources framework, addressing sustainable performance threats from rapid technological implementation. No specific scientific awards or prizes are documented in the provided text. Peeters has published over 100 national and international articles and book chapters, with 75 research outputs listed in TU/e's repository. She co-edited the textbook "An Introduction to Contemporary Work Psychology" (Wiley Blackwell, 2014) and serves on editorial boards for Work & Stress and Gedrag en Organisatie (Dutch Journal of Behaviour in Organizations). Her academic leadership includes presidency of the Dutch Association of Work & Organizational Psychology since 2018. She operates within the Human Performance Management Group at TU/e, which studies workforce optimization through health, engagement, and sustainable employability metrics in digitized workplaces.
Femke van Horen is a Full Professor of Consumer Behavior at the Marketing Department of the School of Business and Economics, Vrije Universiteit Amsterdam. She serves as Scientific Director of the VU Behavioural Lab and Associate Editor for the International Journal of Research in Marketing . Her research focuses on product imitation strategies, environmental uncertainty's impact on consumer decisions, and nudging for sustainability. She co-chaired the 2023 EACR Conference and was a visiting scholar at Stanford University. Education: PhD from Tilburg University (2013), followed by postdoctoral research at the University of Cologne's Social Cognition Lab. Joined VU Amsterdam in 2013. Research Interests: Product Imitation: Effectiveness of copycat strategies and brand evaluation dynamics. Environmental Uncertainty: Consumer decision-making during crises or elections. Sustainability Nudging: Behavioral methods to promote eco-friendly actions. Awards & Grants: AMA Research in Practice Award 2019 (for Out-of-Category Brand Imitation ). IJRM Outstanding Reviewer Award 2023. Grants from ACR/Sheth Foundation, University of Cologne, and others. Advising: Co-supervises two PhD students on sustainability and product imitation, and a postdoc on plant-based meat adoption. Labs & Teams: Leads the VU Behavioural Lab, focusing on interdisciplinary consumer research.
Chigo M. Okonkwo is a Full Professor and Chair of Secured Ultra High Capacity Transmission at the Department of Electrical Engineering, Eindhoven University of Technology (TU/e). He leads the high-capacity optical transmission laboratory within the Electro-Optical Communications Group at the Institute for Photonics Integration, focusing on next-generation photonic networks. Education: PhD in Optical Signal Processing, University of Essex (2009) Appointments: Since 2014 (tenured), 2010 as Post-Doctoral Researcher Key Research Areas: Space Division Multiplexing, Quantum Secure Communications, Advanced Modulation Formats His work spans optical transmission systems, including probabilistic signal shaping , low-complexity digital signal processing , and multi-mode/multi-core fiber components . Recent publications highlight breakthroughs in Petabit/s transmission and quantum cryptography use cases . Scientific recognition includes: ACP 2018 Best Paper Award ECOC 2018 Student Paper Award Optica 2022 Student Paper Awards Corning Outstanding Student Paper Competition Finalist 2025 He actively contributes to standardization efforts as a Technical Program Committee member for ECOC and serves as Senior Member of IEEE. Current projects include FIQCS (Fieldlab Quantum Cryptography Solutions) and NGF-ECO1 (Netherlands Quantum Flagship), advancing quantum-secure protocols and petabit/s capacity scaling.
Konrad Kollnig is an Assistant Professor at Maastricht University’s Faculty of Law, specializing in the intersection of law and technology. He leads the RegTech4AI project, which combines legal and technical methods to address challenges in the AI and digital platforms sector. His academic background includes a PhD and MSc from the University of Oxford and a BSc from RWTH Aachen, with his PhD thesis winning the prestigious Stefano Rodotà Award 2024. Research focuses on market power analysis in digital platforms, ethical AI governance, and privacy-preserving technologies. He developed the TrackerControl app (200,000+ downloads) to expose app tracking practices. His work has influenced EU, OECD, US FTC, and other regulatory bodies, and been featured in Forbes, Wired, and New Scientist. Key achievements include winning the United Nations Privacy Competition 2022 and the Best Student Privacy Paper Award 2022. He holds a five-year RegTech4AI project grant (€2.1M) funding six researchers. Talks and collaborations span institutions like Georgetown University, CNIL, and the Council of Europe. His interdisciplinary approach bridges computer science, law, and policy to address systemic risks in digital ecosystems.
Jan van den Ende is a Full Professor of Management of Technology and Innovation at the Rotterdam School of Management (RSM), Erasmus University. He is also Professor of Horticulture Innovation and a Visiting Professor at LUISS Università Guido Carli in Rome, Italy, reflecting his broad academic engagement across disciplines and institutions. His research centers on the development of new products and services, with a focus on idea management , control of NPD projects , design management , and sustainable innovation . His work is deeply interdisciplinary, spanning innovation management, organizational studies, and strategic management, as reflected in his publications in top journals such as Research Policy , Harvard Business Review , and IEEE Transactions on Engineering Management . The trends in his recent publications highlight a sustained focus on innovation processes in complex environments, including project-based organizations, multinational enterprises, and high-tech industries like video games. His research increasingly explores socio-organizational dynamics such as status, resource scarcity, and entrepreneurial incubation. He has held long-standing editorial roles in leading journals including: Research Policy (Editor since 2003) IEEE Transactions on Engineering Management (Editor since 2007) Journal of Management Studies (Editor since 2009) Service Business (Editor since 2012) He teaches in MBA and Executive Education programs for global firms such as ASML, FrieslandCampina, IFF, and MAN, bridging academic research with industry practice. He has supervised 25 academic works, indicating a strong commitment to mentoring the next generation of scholars. His work contributes to UN Sustainable Development Goals, particularly those related to sustainable economic growth and innovation. He earned his PhD from Delft University of Technology.
Lesley G.A. de Putter-Smits is an Assistant Professor and teacher educator at the Eindhoven School of Education (ESoE), affiliated with Eindhoven University of Technology . Her work focuses on STEM education , teacher education , and continuing teacher professional development with an emphasis on student-centred learning environments and social scientific issues. Education : MSc in Chemistry (Utrecht University, 2000), PDEng in Process and Product Design (TU/e, 2003) Roles : Physics teacher (2003-2012), Chemistry teacher educator (2012-present), Assistant Professor (2014-present), Manager ESA (2019-2022) Her research explores engaging science learning environments , leveraging generative AI , virtual reality , and inquiry-based learning . Recent publications analyze PhET simulations , student-generated drawings , and interdisciplinary science projects . She has contributed to chemistry courses for Radboud University Nijmegen and is active in editorial work for European Journal of STEM Education . Scientific Awards : 3e Prijs 'Beste artikel VELON tijdschrift' (2019)
Professor Vedran Dunjko is a faculty member at the Leiden Institute of Advanced Computer Science (LIACS), Leiden University, with affiliations to the Leiden Institute of Physics (LION). He leads the Applied Quantum Algorithms group and co-founded the Quantum@LIACS initiative, focusing on the intersection of quantum computing, machine learning, and artificial intelligence. His research interests include quantum machine learning, quantum-enhanced reinforcement learning, quantum heuristics, and the application of AI to quantum computing challenges. Dunjko's work bridges theoretical foundations with experimental implementations on near-term quantum devices, exploring both quantum advantages in learning and the use of classical AI for quantum system design. The recent publications show a strong trend toward proving quantum advantages in learning tasks, optimization, and topological data analysis, with publications in Nature , Nature Communications , and NeurIPS . Key themes include quantum policy gradients, quantum TDA, and reinforcement learning for quantum circuit optimization. ERC Consolidator Grant (2024) PNAS Cozzarelli Prize (2018) Editor’s Suggestion in Physical Review Letters (2014, 2018) Featured in Physics (American Physical Society) (2014, 2018) Dunjko advises several PhD candidates and postdocs, including Rahul Bandyopadhyay, Sofiene Jerbi, and Lea Trenkwalder. He has received competitive grants, most notably the ERC Consolidator Grant in 2024. His group fosters international collaborations with institutions across Europe and industry partners. The Applied Quantum Algorithms group and the Quantum@LIACS team combine theoretical investigations with practical implementations on quantum hardware, focusing on scalable quantum algorithms and AI-driven quantum discovery.
Dr. Ed E. Moret is an Associate Professor of Computational Medicinal Chemistry at Utrecht University, where he serves as Managing Director of the Utrecht Institute for Pharmaceutical Sciences. He is a member of the Departmental Executive Board and Chair of the Board of Examiners of the School of Pharmacy. His academic career spans over three decades with significant contributions to pharmaceutical sciences. Utrecht University, Utrecht Institute for Pharmaceutical Sciences School of Pharmacy, Department of Chemical Biology and Drug Discovery Managing Director since January 2010 Dr. Moret's educational background includes completing Gymnasium-b at Gymnasium Camphusianum in Gorinchem in 1979, followed by pharmacy studies at Utrecht University until 1988. He earned his PhD in 1993 with research on calculations and simulations of DNA-alkylating cytostatics under supervision of Prof. L.H.M. Janssen and Prof. J.P.A.E. Tollenaere. He also conducted postdoctoral research at the Scripps Research Institute with Prof. A.J. Olson. His primary research interests focus on molecular recognition, particularly in auto-immune diseases, with expertise spanning computational medicinal chemistry, computer-aided drug discovery, cheminformatics, and bioinformatics. Dr. Moret's work bridges the gap between theoretical calculations and experimental validation in drug design. His research portfolio demonstrates a consistent trajectory from fundamental molecular interactions to applied drug discovery, with particular emphasis on enzyme inhibitors, carbohydrate-protein interactions, and molecular recognition processes. Analysis of his publication record reveals a strong focus on structure-based drug design, with significant contributions to the development of inhibitors for enzymes like β-glucocerebrosidase, NNMT, and neuraminidase. His work spans multiple therapeutic areas including lysosomal storage disorders, cancer metabolism, and infectious diseases. The interdisciplinary nature of his research is evident in the integration of computational approaches with experimental validation across biochemistry, pharmacology, and medicinal chemistry. Teacher of the Year (awarded three times by Pharmacy students) Member of editorial boards for Medicines and Conceptuur journals Secretary of Board of FIGON (2016) Secretary of Raad voor de Farmaceutische Wetenschappen (2024) Member of Board of Stichting Farmaceutische Erfgoed (2024) Dr. Moret has been actively involved in educational innovation, developing and coordinating the master's programme Drug Innovation, the profile Drug Regulatory Sciences, and the Honours programme Pharmaceutical Sciences. He has taught courses for pharmacy, chemistry, UCU and medical sciences students, as well as PhD courses in bioinformatics and computer-aided drug discovery. His educational contributions include developing an inquiry-based elective course on drug discovery, for which he published educational research. He holds BKO and SKO teaching qualifications and participated in the Centre of Excellence in University Teaching program. As Managing Director of the Utrecht Institute for Pharmaceutical Sciences, Dr. Moret leads research initiatives across chemical biology, drug discovery, and pharmaceutical sciences. His leadership extends to multiple advisory and editorial roles within the pharmaceutical research community, reflecting his significant contributions to both academic and professional spheres of pharmaceutical sciences.
