Prescriptive Analytics Professors and Supervisors in Netherlands

Alexander Nolteمشاهده پروفایل

استادیار

Eindhoven University of TechnologyNetherlands

Alexander Nolte is an Assistant Professor at the Mathematics and Computer Science school of Eindhoven University of Technology and an Adjunct Associate Professor at Carnegie Mellon University since 2020. His work bridges software engineering , human-computer interaction , and collaborative innovation , with a focus on hackathons , open source , and business process management . Key research themes include: Hackathon Impact : Analyzing collaboration patterns, creativity, and project sustainability in software startups and open source. Process Analytics : Developing tools for prescriptive monitoring and explainable AI systems. Acoustic Software : Building open-source platforms for room acoustics research. Diversity Initiatives : Creating inclusive environments in technical teams. His 15 most recent publications highlight trends in large language models , collaborative event design , and software diversity . Awards include multiple best paper and demo awards from 2021 to 2024. Nolte actively contributes to scientific datasets and collaborates on interdisciplinary projects, particularly in open-source room acoustics software with TU/e and Zenodo. He teaches Human-Computer Interaction and Software Development for Engineers , emphasizing practical, event-driven learning.

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Lourens Bloemمشاهده پروفایل

استادیار

Utrecht UniversityNetherlands

Dr. Lourens Bloem is an Assistant Professor at Utrecht University's Faculty of Science , affiliated with the Division of Pharmacoepidemiology and Clinical Pharmacology under the Utrecht Institute for Pharmaceutical Sciences. He contributes to the Faculty of Science's Open Science Team and previously served as Programme Manager Drug Regulatory Science at Utrecht Science Park until December 2022, leveraging expertise from his 4-year pharmacovigilance assessor role at the Dutch Medicines Evaluation Board (MEB). PharmD and MSc in Epidemiology Specializes in regulatory science for oncology and rare diseases Focuses on real-world evidence and drug lifecycle management His research bridges clinical pharmacology , oncology , and advanced therapies , examining evidence generation for regulatory decisions, benefit-risk balances, and post-authorization data collection. His applied data science work develops EHR-based algorithms for disease progression tracking in Stage IV NSCLC. Recent publications analyze ATMPs (Advanced Therapy Medicinal Products) regulatory bottlenecks and tumour-agnostic therapies decision-making. Key article trends include: Conditional authorization frameworks (2006-2020) Comparative effectiveness of uncontrolled trials Environmental impact assessments in drug regulation Pharmacovigilance challenges for immunotherapies Global pharmacovigilance systems Lourens collaborates extensively with the European Medicines Agency (EMA) , Dutch Cancer Society , and international consortia, contributing to EU pharmaceutical legislation evaluations and sustainable therapy development initiatives like FAST and RSNN SIG Advanced Therapies . He chairs the Future Medicines Graduate Programme's first cohort and participates in the MSc Epidemiology Postgraduate Programme.

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Nynke Schuiling-Veningaمشاهده پروفایل

مدرس ارشد

University of GroningenNetherlands

Dr. Nynke Schuiling-Veninga is a Senior Lecturer in the Department of Pharmaceutical Patient Care at the Faculty of Science and Engineering, University of Groningen. Her expertise lies in pharmacoepidemiology and pharmacy practice research, focusing on drug utilization, pharmacotherapy, and epidemiological analysis of medication use in chronic diseases such as Alzheimer’s, asthma, and cardiovascular conditions. She has contributed to over 110 peer-reviewed publications, examining topics like antipsychotic drug use trends, adherence patterns in hypertension management, and the impact of pandemics on medication dispensing. Research Interests: Pharmacoepidemiology and drug utilization patterns Respiratory and cardiovascular pharmacotherapy Epidemiological studies on medication safety and efficacy Impact of global health events (e.g., COVID-19) on prescribing practices Awards: ECNP’s Citation Award (2019) Best Poster Award (2017) Spotlight Poster Winner (2016) Lab/Team: Member of the Pharmaceutical Patient Care research team, focusing on translating epidemiological insights into clinical practice improvements.

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Melvyn Roerdinkمشاهده پروفایل

دانشیار

Vrije University AmsterdamNetherlands

Melvyn Roerdink is an Associate Professor at the Faculty of Behavioural and Movement Sciences , Vrije Universiteit Amsterdam (VU Amsterdam), with a focus on merging human movement science with motion technologies. His work spans actor-environment interactions , utilizing 3D depth cameras (Kinect, Hololens) and augmented/mixed reality to innovate in gait rehabilitation and public health. Primary Affiliation: Prevention and Rehabilitation, Faculty of Behavioural and Movement Sciences Secondary Roles: IBBA Associate Professor, Ancillary activities at Maastricht University (2024-2028), and advisory roles at Strolll Ltd and DIH Holding US Inc. Dr. Roerdink’s research emphasizes context-dependent walking , leading the development of the C-Mill rehabilitation treadmill and Interactive Walkway to assess and train gait adaptability in stroke patients, elderly, and those with Parkinson’s Disease. He collaborates with PhD students like Daphne Geerse and Bert Coolen on projects involving augmented reality, visual computing, and falls prevention. His recent articles highlight advancements in augmented reality for gait analysis , with a focus on Parkinson’s Disease (2025-2024), clinical trials for home-based rehabilitation (2025), and biomechanical studies on walking adaptability. He has secured significant grants, including a Veni grant (2009, 250 K€) and EU Erasmus Mundus funding (645 K€ total), alongside 300 K€ industrial investment from C-Mill patents. Scientific Awards: Promising Young Scientist Award, ISPGR (2015) Honorary Mention, ISPGR/G&MF (2012) Runner-up, Dutch Society of Human Movement Sciences PhD Award (2010) Teaching: Courses include Coordination Dynamics and Entrepreneurship in Human Movement Sciences , mentoring over 60 students, with 10+ PhD supervisees.

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Gui Liberaliمشاهده پروفایل

استاد

Erasmus University RotterdamNetherlands

Gui Liberali is a full Professor of Digital Marketing at the Rotterdam School of Management (RSM) of Erasmus University Rotterdam. He holds editorial roles as Associate Editor at Marketing Science and Area Editor at the International Journal of Research in Marketing . His research focuses on optimal learning, AI-driven marketing, adaptive experiments (e.g., clinical trials), and reinforcement learning. He earned a B.Sc. in Computer Science and a doctorate in Marketing. Key research interests include multi-armed bandits, online advertising strategies, and dynamic programming applications in marketing. His work bridges computational methods with consumer behavior analysis, often applying machine learning to real-world marketing challenges. Recent publications explore real-time adaptive clinical trial design and AI integration in consumer dynamics modeling. Education: Doctorate in Marketing B.Sc. in Computer Science Editorial Roles: Associate Editor, Marketing Science Area Editor, International Journal of Research in Marketing He has supervised multiple PhD candidates in areas like machine learning applications, mobile marketing, and consumer neuroscience. His lab, the Erasmus Centre for Optimization of Digital Experiments, develops cutting-edge tools for adaptive digital marketing strategies. Notable contributions include foundational work on website morphing algorithms and their empirical validation.

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Rik Pietersمشاهده پروفایل

استاد

Tilburg UniversityNetherlands

Rik Pieters is a Professor of Marketing at the Department of Marketing, Faculty of Economics and Business, Tilburg University since 1993. His research spans marketing communication, consumer behavior, and services marketing with specific expertise in advertising, attentiveness, and emotional responses in consumption contexts. Key research areas Marketing communication Consumer behavior Services marketing Eye movement analysis Materialism and envy Survey methodology His recent publications analyze: Advertising exposure duration and frequency effects (2025) Truthful data collection methods for sensitive topics (2024) Temporal dynamics in materialism and life satisfaction (2023) Scientific recognition includes: HBD Dissertatie Beurs (1997) Literati Outstanding Paper Award (1997) As dissertation chair, he has guided 18 PhD candidates including: Roger Bougie (2004): Negative emotions in service consumption Maria Louro (2006): Cum laude work on positive emotions Thales Texeira (2008): Attention to TV advertising Active in editorial roles since 1997: International Journal of Research in Marketing International Journal of Service Industry Management Journal of Consumer Policy

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Aurélie Lemmensمشاهده پروفایل

استاد

Erasmus University RotterdamNetherlands

Prof. Aurélie Lemmens is a Full Professor of Customer Analytics at Rotterdam School of Management (RSM), Erasmus University Rotterdam, where she chairs the Department of Marketing Management. She concurrently serves as Academic Director of the Expert Practice on Customer Analytics at the Erasmus Center for Data Analytics. Previously, she held academic positions at Erasmus School of Economics and Tilburg University, and was a visiting scholar at Harvard Business School. She obtained her PhD from K.U. Leuven (Belgium) following an MSc in Business Engineering from Solvay Business School. Her research develops prescriptive analytics methodologies leveraging consumer data for customer-centric decision-making, organized around three core lifecycle stages: (1) customer acquisition and new product introduction, (2) customer development and engagement, and (3) customer retention. Her work extensively employs machine learning and large-scale computing. Prof. Lemmens' publication portfolio demonstrates consistent focus on quantitative marketing, customer analytics, and methodological innovation, with recent work emphasizing personalization algorithms, donor behavior modeling, and churn optimization techniques. Her research consistently bridges theoretical rigor with practical business applications. Awards and honors include: 2012 IJRM Best Paper Award Marie Curie Grant (European Research Council) Veni and Vidi grants (Dutch Science Foundation) ERC Consolidator Grant Finalist Best Teaching Awards (2017, 2019) for Conjoint Analysis course She teaches Customer Analytics (Business Analytics MSc), Customer Centricity (Marketing Management MSc), and Creating Customer Value (Executive MBA). She leads the Expert Practice on Customer Analytics, coordinating industry-academia collaborations in applied data analytics. Additional information is available via her personal website .

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