جست‌وجوی استاد و پژوهشگر

Judith Keijsperمشاهده پروفایل

مدرس

• Graph Algorithms
• Computational Biology
• Combinatorial Optimization
• +۴ مورد دیگر

Judith Keijsper is a Lecturer at the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e) , where she has been affiliated since 2000. She works within the Combinatorial Optimization group, focusing on graph algorithms and their applications in computational biology. She teaches courses such as Graph Theory, Linear Algebra, and Discrete Dynamical Systems. Her research spans phylogenetic network reconstruction, haplotyping complexity, and discrete optimization. Key themes include Unrooted binary phylogenetic level-1/level-2 networks Polynomial time algorithms for NP-hard problems Applications of graph theory to biological data Linear equation systems over GF(2) Her publications demonstrate expertise in algorithm design for genetic analysis and evolutionary modeling. No scientific awards are explicitly mentioned in the provided texts.

• Econometrics
• Operations Research
• Data Analytics
• +۵ مورد دیگر

R.J. de Almeida e Santos Nogueira is an Assistant Professor in the Department of Quantitative Economics at the School of Business and Economics. His research focuses on econometrics, operations research, and machine learning applications in finance, healthcare, and policy analysis. He is affiliated with the Data Analytics and Digitalisation unit, emphasizing modern computational methods for complex decision-making. His work spans causal inference, optimization algorithms, and text analytics, with notable contributions to portfolio rebalancing, order batching in logistics, and healthcare analytics for inflammatory bowel disease prediction. Recent studies explore risk perception of AI technologies and causal modeling with discretized data. No scientific awards or grants are explicitly listed in the provided texts. He has advised no students, and his lab/team affiliations are unspecified.

Fred Boogerdمشاهده پروفایل

استاد مهمان

• Systems Biology
• Microbial Physiology
• Bioenergetics
• +۳ مورد دیگر

Dr. Fred Boogerd serves as a Visiting Professor in the Faculty of Science at Vrije Universiteit Amsterdam, specializing in Systems Biology. He previously held a position as Assistant Professor at A-Life, focusing on systems microbiology. His work emphasizes kinetic modeling of ammonium transport in E. coli and computational methods for biochemical systems. Research interests span microbial physiology, systems biology, bioenergetics, and the application of genetic algorithms for parameter estimation. Notable contributions include advancements in machine learning-aided optimization (MLAGO) and software tools like RCGAToolbox for kinetic modeling. Recent articles explore ammonium assimilation mechanisms in E. coli, membrane potential dynamics in Campylobacter jejuni, and systems-level explanations of biological networks. His interdisciplinary approach bridges computational methods with experimental biology. Dr. Boogerd has supervised four PhD theses and actively collaborates on projects integrating systems biology with philosophical foundations. He remains involved in research despite retirement, contributing to both computational and experimental microbiology.

Wout Dullaertمشاهده پروفایل

استاد

• Supply Chain Logistics
• Sustainability Strategies
• Operations Research
• +۴ مورد دیگر

Prof. Wout Dullaert is a Full Professor of Supply Chain Logistics at the Vrije Universiteit Amsterdam, heading the Department of Operations Analytics within the School of Business and Economics. He holds a PhD from the University of Antwerp (2002) and has extensive experience in academia, including roles as assistant/associate professor there before joining VU Amsterdam. His research focuses on redesigning production/distribution systems, tactical/operational logistics, and sustainability strategies in supply chains. Notable contributions include work on circular economy, vehicle routing optimization, and sustainable inventory models. Research Interests: Redesign of production and distribution systems Tactical/operational logistics optimization Cooperation and sustainability in logistics Vehicle routing and transportation networks System dynamics for sustainability transitions Awards/Grants: TSL Best Paper Award 2020 €600,000 grant for 'Sensing Logistics' project (2018-2021) €100,000 grant for 'Sensors for Sustainable Logistics' (2021-2022) Principal Investigator for multiple industry-funded projects Advisory Roles: Adviser to Vereniging Logistiek Management (since 2016) Adviser to IJGC-Worldwide (2019-2026) Editorial roles for journals like Transportation Research Part E Labs/Teams: Amsterdam Business Research Institute Leadership in projects like SensLog and Sensory Data for Sustainable Logistics

Douwe Molenaarمشاهده پروفایل

دانشیار

• Microbiology
• Metabolic Pathways
• Systems Biology
• +۳ مورد دیگر

Douwe Molenaar is an Associate Professor in the Faculty of Science at Vrije Universiteit Amsterdam, affiliated with both the Systems Biology department and AIMMS (Advanced Institute for Materials Science and Engineering). His research focuses on microbial physiology, metabolic pathways, and systems biology, with applications in probiotics, environmental biotechnology, and human microbiome studies. He contributes to courses such as 'Big Data Tools' and 'Introduction to Systems Biology,' and has supervised three PhD theses. Research interests include the metabolic strategies of microorganisms, particularly in Lactobacillus species and other probiotics, as well as environmental applications such as bioremediation and agricultural soil management. His work integrates experimental evolution, genomics, and computational modeling to understand microbial community dynamics and cellular economics. Notable projects include studies on benzene-degrading microbial consortia and the molecular basis of bacterial vaginosis. Molenaar’s recent publications span topics like quantum detection in vision, antimicrobial resistance in wastewater, and microbial adaptations to environmental stresses. He has developed software tools such as CBMPy for metabolic modeling and contributed to datasets like 'Naturally Fermented Milk from Northern Senegal.' His research bridges fundamental biology with applied challenges in health and sustainability.

• Prenatal Diagnosis
• Fetal Medicine
• Genetic Counseling
• +۴ مورد دیگر

Attie Go is a Researcher at Erasmus MC, Department of Obstetrics & Gynecology, Erasmus University Rotterdam. Their work focuses on prenatal diagnostics, genetic counseling, and fetal medicine with emphasis on exome sequencing, placental mosaicism, and congenital anomalies. Research interests include improving prenatal screening protocols through advanced imaging techniques (e.g., speckle tracking echocardiography) and genomic analysis methodologies. Collaborative efforts involve nationwide screening programs and interdisciplinary studies on fetal heart defects and cancer during pregnancy. Recent studies highlight contributions to NIPT applications, fetal anomaly detection algorithms, and diagnostic yield optimization in high-risk pregnancies. Their work bridges clinical obstetrics with cutting-edge genetic technologies.

• Molecular Biology
• Biophysics
• Computational Chemistry
• +۳ مورد دیگر

Dr. Jocelyne Vreede is a Researcher at the Van 't Hoff Institute for Molecular Sciences within the Faculty of Science at the University of Amsterdam. Her work focuses on molecular simulations and structural studies of biological systems, particularly exploring protein-DNA interactions, molecular dynamics, and computational biophysics. She is affiliated with the University’s advanced research facilities and contributes to interdisciplinary projects in biophysics and structural biology. Her research interests include the development of enhanced sampling techniques for molecular simulations, the structural basis of DNA compaction by histone-like proteins, and the mechanistic understanding of protein conformational changes in disease contexts such as oncogenic mutations in KRas. She has also contributed to educational studies on academic career development in STEM fields. Dr. Vreede’s publications reflect a strong emphasis on computational approaches applied to biological problems, with recent work exploring novel algorithms for protein-DNA architecture design and the dynamics of transient DNA base pairing states. While no formal awards are listed, her extensive publication record underscores her active role in advancing computational and experimental biophysical research. Her advising activities are not detailed in the provided information, and no ancillary professional roles are explicitly mentioned beyond her primary academic affiliation.

• Statistics
• Machine Learning
• Statistical Genetics
• +۳ مورد دیگر

Dr. Vahe Avagyan is an Assistant Professor at the Mathematical and Statistical Methods - Biometris PE&RC group within Wageningen University & Research. His expertise focuses on advanced statistical methodologies for high-dimensional data analysis, with applications spanning genetics, environmental science, and finance. Key Research Areas: Precision matrix estimation, robust statistical methods, and penalized regression techniques. Applications: Genetic prediction models, carbon emissions analysis, metabolomics, and financial risk management. Recent research emphasizes computational efficiency in genomic prediction models (GxE interactions) and innovative approaches to handling data contamination in covariance estimation. His work combines theoretical rigor with practical implementations, including app-based data collection for urban sustainability studies. Collaborations include researchers from Wageningen University, University of Ghent, and financial institutions, reflecting interdisciplinary applications of his statistical frameworks.

• Developmental Biology
• Systems Biology
• Cell Biology
• +۳ مورد دیگر

Jeroen van Zon is a Group Leader at AMOLF, focusing on Quantitative Developmental Biology. He holds a PhD in Theoretical Physics (2006) and a Physics degree (2002) from the Vrije Universiteit Amsterdam. His postdoctoral work included studying molecular noise in cell fate patterning at MIT (2008–2010) under Prof. Alexander van Oudenaarden. He has pioneered computational and experimental approaches to understand stochastic processes in developmental biology, particularly in C. elegans and intestinal organoids. Research Interests: Dr. van Zon’s work integrates biophysics, systems biology, and developmental biology to study cell fate decisions, tissue homeostasis, and noise-driven developmental processes. He develops tools like OrganoidTracker for quantitative cell tracking and employs CRISPR-based methods to study gene regulation in organoids. Key themes include: - Stochasticity in cell signaling and differentiation - Mechanisms of robustness in self-renewing tissues - Temporal coordination in whole-animal development Awards: - Human Frontier Science Program Fellowship (2008) Advancing Cell Tracking Technology: His lab has developed novel methods for live-cell imaging and error-prediction algorithms to study organoid dynamics. Collaborations span experimental biology, computational modeling, and engineering to bridge scales from molecular fluctuations to tissue-level patterns. AMOLF Affiliations: His group is part of AMOLF’s Physics of Behavior and Biochemical Networks research lines, leveraging interdisciplinary approaches to unravel fundamental biological principles.

• Precision Agriculture
• Digital Twin Technology
• Crop Growth Modeling
• +۴ مورد دیگر

Frits van Evert is a Researcher in the Department of Applied Ecology at Wageningen University & Research, specializing in precision agriculture and digital twin technology. His work focuses on crop growth modeling, sustainable farming systems, and agricultural robotics. He leads several high-profile projects such as ROBS4CROPS and GALIRUMI, which integrate digital twins with robotic solutions for arable and dairy farming. Key contributions include developing decision support systems using remote sensing and crop models, improving nitrogen management strategies, and creating open data platforms like Akkerweb. Van Evert's research spans multiple disciplines, including crop physiology, climate change impacts, and farm-level sustainability. He has published over 192 research outputs, including datasets on potato growth dynamics and grassland weed management. His projects emphasize collaboration with industry stakeholders to bridge the gap between academic research and practical agricultural applications. Projects: ROBS4CROPS (robotic farming systems), GALIRUMI (computer vision for grassland), and Digital Twin initiatives Key datasets: Potato growth in the Netherlands, RumexWeeds grassland data, and UAV-based multispectral datasets Technical expertise: Crop modeling (WOFOST, SWAP), remote sensing integration, and ISO 11783 communication protocols His recent work explores digital twin applications for real-time farm management, climate adaptation strategies, and the economic viability of robotic solutions. Van Evert actively engages with industry through workshops, media contributions, and keynote lectures on precision agriculture's future.

• Systems Biology
• Synthetic Biology
• Metabolic Engineering
• +۳ مورد دیگر

Maria Suarez-Diez is a Full Professor at Wageningen University & Research, specializing in Systems and Synthetic Biology. She leads research in metabolic engineering, microbial biotechnology, and computational modeling. Her work focuses on optimizing microbial strains for biofuel production, understanding toxicokinetics in invertebrates, and advancing PBPK model reproducibility. She supervises multiple PhD candidates and collaborates internationally on projects like microbial oil production and metabolic pathway optimization. Education: Ph.D. in Biological Sciences (likely from a top European institution, though specific details are not explicitly stated in the provided texts). Research Interests : Genome-scale metabolic modeling Microbial strain engineering Systems biology approaches to bioprocess optimization Toxicological modeling using PBPK frameworks Recent Trends : Recent articles focus on integrating computational models with experimental data to enhance strain design efficiency, particularly in Pseudomonas putida and oleaginous yeasts. She also emphasizes reproducibility in pharmacokinetic modeling. Grants & Projects : Active projects include metabolic engineering of Cutaneotrichosporon for biofuel, bacterial pathogen modeling, and sustainable biomanufacturing. She has secured funding for interdisciplinary initiatives like 'Industriophile' and 'Putida for Plastics.' Labs/Teams : Leads teams focusing on systems biology, metabolic engineering, and computational toxicology within Wageningen's College of Science.

Marleen Balvertمشاهده پروفایل

استادیار

• Optimization
• Machine Learning
• Genomics
• +۳ مورد دیگر

Marleen Balvert is an Assistant Professor at Tilburg University's Tilburg School of Economics and Management (TiSEM), Department of Econometrics and Operations Research. Her research focuses on applying optimization and machine learning to address challenges in the medical and humanitarian sectors. She leads projects such as the Zero Hunger Lab, developing tools to improve food security operations, and collaborates with institutions like the World Food Program and Erasmus Medical Center. Her work includes creating the ARAN dataset for child health monitoring and optimizing radiotherapy workflows in healthcare. Key research interests include genomics data analysis for disease identification, resilient food systems, and interpretable machine learning methods. She teaches courses on operations research and machine learning at TiSEM. Balvert has been awarded the NWO Veni Grant and actively contributes to interdisciplinary projects bridging academia and real-world applications. Her recent publications emphasize data-driven solutions in healthcare and humanitarian logistics, with collaborations spanning bioinformatics, medical research, and global hunger initiatives.

• Inborn Errors of Metabolism
• Organic Acidemias
• Methylmalonic Acidemia
• +۴ مورد دیگر

Femke Molema is a Researcher at Erasmus MC (Erasmus Medical Center) within the Department of General Practice at Erasmus University Rotterdam. Her work focuses on metabolic disorders, particularly organic acidemias and urea-cycle disorders, with significant contributions to clinical guidelines and treatment protocols. Dr. Molema's research interests center on inborn errors of metabolism, with specialization in methylmalonic acidemia and propionic acidemia. Her work examines dietary treatment approaches, transplantation options, and long-term patient outcomes for these rare metabolic conditions. She investigates the biochemical mechanisms underlying these disorders and evaluates current treatment limitations to develop improved clinical management strategies. Analysis of her recent publications shows a strong focus on clinical guidelines development, treatment optimization, and identifying gaps in current care for patients with organic acidemias. Her research demonstrates interdisciplinary collaboration across European metabolic centers and has significant impact in the field, with several highly cited publications influencing clinical practice. Dr. Molema has contributed to multiple high-impact publications in journals such as Journal of Inherited Metabolic Disease and Clinical Nutrition. Her work on dietary treatment shortcomings and transplantation options for metabolic disorders has been widely referenced, with one guideline publication accumulating nearly 200 citations. She actively participates in European collaborative efforts through networks like MetabERN. Her research is conducted within the metabolic disorders research group at Erasmus MC, collaborating with specialists in genetics, nutrition, and transplantation medicine to address complex challenges in metabolic disease management.

• Vascular Surgery
• Abdominal Aortic Aneurysm
• Endovascular Aneurysm Repair
• +۷ مورد دیگر

Sander ten Raa is a researcher in the Department of Surgery at Erasmus MC, Faculty of Medicine, with a strong focus on vascular surgery and abdominal aortic aneurysm (AAA) management. His research integrates clinical data, advanced imaging, and molecular profiling to improve patient outcomes following endovascular procedures. Institution: Erasmus MC School: Faculty of Medicine Department: Department of Surgery Role: Researcher His research interests center on the pathophysiology and clinical management of abdominal aortic aneurysms, particularly through endovascular aneurysm repair (EVAR). He investigates aneurysm growth dynamics using CT imaging, explores biomarkers via proteomics and metabolomics, and evaluates long-term outcomes of fenestrated and branched EVAR techniques. Additional areas include kidney graft implantation in complex vascular settings and sex-based disparities in AAA presentation. The recent publications reveal a consistent trend toward data-driven, translational research combining clinical follow-up with multi-omics analysis. There is a strong emphasis on identifying predictive biomarkers for aneurysm progression, optimizing surveillance protocols, and understanding post-intervention complications without endoleaks. His work frequently appears in high-impact journals such as the Journal of Vascular Surgery and American Journal of Transplantation . While no specific scientific awards are listed in the provided data, his collaborative network includes leading experts in cardiology, transplantation, and vascular surgery, suggesting recognition within the academic community. Dr. ten Raa has contributed to multiple peer-reviewed articles involving patient cohorts, systematic reviews, and biomarker discovery efforts. Although no formal advising or grant information is available, his involvement in multi-center studies implies participation in funded research initiatives. He is part of a dynamic surgical research team focused on innovation in endovascular therapies and transplant-related vascular complications.

• Radiation Therapy
• Symptomatic Treatment
• Patient Comfort
• +۳ مورد دیگر

Nienke Holtzer is a Researcher in the Department of Radiotherapy at Erasmus University Rotterdam (Erasmus MC), focusing on enhancing patient comfort and treatment efficacy in radiation oncology with emphasis on palliative care and breast cancer radiotherapy. Her research spans Radiation Therapy, Symptomatic Treatment, and Patient Comfort, with significant work in AI applications for synthetic CT imaging in pelvic metastasis treatment, operations research for workflow optimization, and clinical trials for patient comfort interventions. Key areas include palliative radiotherapy, breast cancer treatment, and medical physics innovations. Recent publications (2022-2025) reveal a strong trend toward technology integration and patient-centered solutions: the 2025 clinical trial on specialized mattresses demonstrates commitment to comfort, while 2024 publications on AI-generated CT imaging and robust workflow optimization highlight dual focus on cutting-edge technology and operational efficiency in radiotherapy departments.