جست‌وجوی استاد و پژوهشگر

• Evolutionary Computation
• Machine Learning
• Natural Computing
• +۵ مورد دیگر

Thomas Bäck is a Professor at the Leiden Institute of Advanced Computer Science (LIACS) , Leiden University , Netherlands, and a member of the interdisciplinary programme Society, Artificial Intelligence and Life Sciences (SAILS) . His academic career spans roles at Leiden University (1996–present) and leadership positions at the Center for Applied Systems Analysis in Dortmund (1994–2000). Education : Diplom-Informatiker (Computer Science), Technische Universität Dortmund (1990) Dr. rer. nat. (Computer Science), Technische Universität Dortmund (1994) Research Interests : Dr. Bäck specializes in evolutionary computation , machine learning , and their applications in sustainable smart industry and healthcare . Recent work focuses on integrating large language models (LLMs) and quantum computing into optimization frameworks, with projects like CIMPLO (predictive maintenance), ECOLE (experience-based optimization), and SAPPAO (airline operations optimization). Scientific Contributions : His 526+ publications cover evolutionary algorithms, quantum optimization, and LLM-driven design, with recent trends including: Quantum computing (e.g., quantum approximate optimization, quantum advantage challenges) LLM integration (e.g., hyperparameter tuning, mutation control, code evolution graphs) Healthcare and industry (e.g., predictive maintenance, anomaly detection, melt quality prediction) Algorithm benchmarking (e.g., IOHprofiler, MA-BBOB, explainable benchmarking) Scientific Awards : IEEE Fellow (2022) Royal Netherlands Academy of Arts and Sciences (KNAW) member (2021) Academia Europaea member (2022) IEEE Computational Intelligence Society Evolutionary Computation Pioneer Award (2015) Fellow, International Society of Genetic and Evolutionary Computation (2003) Best Ph.D. thesis award, German Society of Computer Science (GI) (1995) Advising and Grants : He supervises Ph.D. candidates in evolutionary computation and machine learning and has secured 7 major grants from organizations like the Dutch Research Council , European Commission , and The Research Council of Norway . His editorial roles include Editor-in-Chief of the Evolutionary Computation Journal and associate editorships in leading AI journals.

• Cybercrime
• Cyber-investigation
• Privacy
• +۹ مورد دیگر

Bert-Jaap Koops is a Full Professor of Regulation & Technology at Tilburg University's Tilburg Law School (TLS) and TILT (Tilburg Institute for Law, Technology, and Society). He specializes in the intersection of technology and law, focusing on cybercrime, privacy, data protection, and digital constitutional rights. Currently employed at 0.2 FTE since 2019, he has held roles including Distinguished Lorentz Fellow (2016/2017) and membership in De Jonge Akademie (2005–2010). His research spans cyber-investigation, DNA forensics, and regulatory implications of emerging technologies like robotics and neuroscience. Education includes a PhD from Tilburg University and Eindhoven University of Technology (1994–1998). He has led projects such as μMole (sewage monitoring for synthetic drugs) and contributed to the Artistic Process Futures and AI initiative. Awards include NWO’s postdoc, VIDI, and VICI grants, reflecting his impactful research trajectory. Research highlights include analyzing remote police surveillance’s impact on privacy, proposing constitutional privacy updates, and critiquing data-driven criminal procedures. He advises on governance frameworks for socio-technical change and collaborates internationally on privacy and technology issues. External roles include freelance art history work and advisory board memberships.

Daniel Redheadمشاهده پروفایل

استادیار

• Anthropology
• Evolutionary Biology
• Psychology
• +۵ مورد دیگر

Roles and Affiliations: Daniel Redhead is an Assistant Professor at the University of Groningen (since 2023) within the Department of Sociology and the Inter-university Center for Social Science Theory and Methodology (ICS). He concurrently serves as a Guest Researcher at the Max Planck Institute for Evolutionary Anthropology's Department of Human Behavior, Ecology and Culture. Previously, he held roles including Group Leader (2020–2023) and Postdoctoral Research Fellow (2018–2020) at the same institute, and Visiting Researcher at the University of Illinois at Urbana-Champaign (2017–2018). Education: PhD in Psychology (2015–2018), University of Essex Masters by Research (MA) in Anthropology (2014–2015), Durham University BA (Hons) in Archaeology and Anthropology (2011–2014), Durham University Research Interests: Redhead focuses on cultural evolution, human behavioral ecology, social hierarchy, and social network analysis . His work examines how social structures, cooperation, and inequality emerge in diverse contexts—from rural Colombian communities to foraging societies in the Congo Basin. He employs advanced statistical methods and computational models to analyze complex social systems. Articles Trends: His recent publications emphasize methodological innovations (e.g., Bayesian network analysis, STRAND software), cross-cultural studies of cooperation and status, and interdisciplinary approaches bridging anthropology, evolutionary biology, and sociology. Awards: Human Behavior & Evolution Society Margo Wilson Award (2024) NSF HNDS Program Co-PI Grant ($400,000, 2022) Leakey Foundation Research Grant (2025) Teaching & Grants: Redhead teaches courses on Solidarity & Social Contexts and Methodology & Data Collection at the University of Groningen. He actively secures grants as PI/Co-I, including multi-million-dollar NSF and ESRC funding.

• Biomolecular Chemistry
• Catalysis
• Organic Chemistry
• +۳ مورد دیگر

Gerard Roelfes is a full professor at the University of Groningen, affiliated with the Faculty of Science and Engineering and the Biomolecular Chemistry & Catalysis department within the Stratingh Institute for Chemistry. He holds roles such as Director of the Stratingh Institute and Chairman of the Prof. Hilmar Johannes Backer Foundation. Education: Ph.D. in Chemistry (not explicitly stated, inferred from academic rank). Research Focus: Biomolecular chemistry, catalysis, enzyme design, and artificial metalloenzymes. His work emphasizes the design of novel enzymes using genetically encoded unnatural amino acids and hybrid catalytic systems. Key contributions include artificial copper-Michaelases and gold-based enzymes. Awards (selected): ERC Advanced Grant (2020) NWO Vici Grant (2014) ChemThem Chemical Biology Award (2011) Grants & Collaborations : Active in international advisory roles (e.g., NWO, NIOK) and collaborations with institutions like the University Paris Descartes. His lab focuses on sustainable chemistry and biocatalytic cascades. Labs/Teams : Leads research groups in biomolecular catalysis and artificial enzyme design at the Stratingh Institute.

Steven L. Salzbergمشاهده پروفایل

استاد

• Computational Biology
• Genomics
• Bioinformatics
• +۴ مورد دیگر

Steven L. Salzberg is the Bloomberg Distinguished Professor of Biomedical Engineering, Computer Science, and Biostatistics at Johns Hopkins University, where he also serves as Director of the Center for Computational Biology. His research focuses on developing computational methods for DNA analysis from next-generation sequencing technologies, with applications across gene finding, genome assembly, comparative genomics, and evolutionary genomics. Dr. Salzberg's research interests center on computational biology and genomics, with particular emphasis on developing innovative software tools for analyzing DNA and RNA sequences. His work has significantly advanced genome assembly techniques, annotation systems, and the understanding of genomic variation. He maintains a strong commitment to data accuracy, as demonstrated by his recent work debunking flawed cancer microbiome research that made headlines in 2023 and 2025 publications. Analysis of his recent publications reveals a consistent trajectory toward increasingly sophisticated genomic analysis tools. His lab has pioneered methods for splice site prediction (Splam), genome annotation (LiftOn), protein-coding region detection (ORFanage), and assembly polishing (JASPER). The research spans computational methodology development while maintaining strong connections to biological discovery and medical applications. Scientific Recognition: His former postdoc Martin Steinegger awarded the 2024 Overton Prize from ISCB Contributed to the landmark publication of the first complete human genome in Science (2022) Dr. Salzberg actively mentors numerous PhD students and postdoctoral fellows, with recent thesis defenses by Kuan-Hao Chao, Markus Sommer, and Ales Varabyou. His lab has secured substantial research funding supporting multiple graduate students and postdocs working on cutting-edge genomic research. The lab maintains extensive collaborations, particularly with Dr. Mihaela Pertea's group, as evidenced by joint publications and shared lab members working on genome assembly and annotation projects. The Salzberg Lab at Johns Hopkins represents a dynamic research environment with continuous growth and evolution. Recent lab news shows consistent expansion with new members joining across multiple years, thesis defenses by key researchers, and high-impact publications spanning Nature, Science, and specialized genomics journals. The lab's collaborative approach with other research groups has resulted in significant contributions to the field of computational genomics.

• Plant Genetics
• Molecular Biology
• Transcriptional Regulation
• +۷ مورد دیگر

Marco Busscher is a researcher at BIOS Plant Development Systems , part of Wageningen University & Research . His work focuses on molecular plant development and host-pathogen interactions, particularly in dandelion and Arabidopsis systems. Research Interests: Transcriptional regulation, phytoplasma infections, gene diversification, transposable elements, and environmental temperature responses in plants. Key Collaborations: University of East Anglia, Max Planck Institute for Plant Breeding Research, Keygene, and Wageningen University & Research. His recent publications highlight protein interaction networks, ubiquitin-independent degradation mechanisms, and genomic insights into floral development. Notable work includes the discovery of a PARTHENOGENESIS allele in dandelion with implications for plant biotechnology. Research output spans peer-reviewed journals and datasets in plant transcriptomics.

Daniel Strüberمشاهده پروفایل

دانشیار

• Model-Driven Engineering
• AI Engineering
• Software Quality Assurance
• +۱۲ مورد دیگر

Daniel Strüber is an Associate Professor in Software Engineering at the joint Interaction Design and Software Engineering Division of Chalmers University of Technology and the University of Gothenburg, Sweden. He is also affiliated with the Department of Software Science at Radboud University Nijmegen, Netherlands. His research focuses on model-driven engineering, AI engineering, and variability management to enhance software quality, security, and collaborative development across domains like robotics and web systems. Education : Diplom (M.Sc. equivalent) in Computer Science from Philipps University Marburg (2011, with distinction), Ph.D. (summa cum laude) from Philipps University Marburg (2016). His research bridges empirical, formal, and engineering approaches to address developer challenges in ML-enabled systems. Key trends in his work include model-driven methods for ML deployment, variability management in robotics, and empirical studies of tool usability. He has co-edited a Journal of Systems and Software special issue on software product lines. Scientific Awards : Best Reviewer Awards (SoSyM 2025, GPCE 2024), Transformation Tool Contest Awards (2017, 2020), Best Paper Awards (VAMOS 2019, ICMT 2016), and multiple conference nominations. As a supervisor, he guides current Ph.D. students like Vladislav Indykov and Weixing Zhang, while his former advisees include Shayan Ahmadian and Samuel Idowu. Grants include a VR Open Call Grant (2022-2024) for SEMLA and a DFG Individual Fellowship (2019) for EUphORia. His teaching spans courses on Software Engineering for AI Systems and Software Product Lines , often integrated with real-world projects via GiPHouse.

Koen van Benthemمشاهده پروفایل

استادیار

• Multiscale Eco-Evolutionary Processes
• Population Ecology
• Biostatistics
• +۳ مورد دیگر

Koen van Benthem is an Assistant Professor in the Faculty of Science and Engineering at the University of Groningen, affiliated with the Groningen Institute for Evolutionary Life Sciences. He leads the Van Benthem group, focusing on Data Science and Biostatistics. His research emphasizes multiscale eco-evolutionary processes and recovering individual-level insights from population data. He holds a PhD in population ecology from the University of Zurich and has prior experience at institutions including Bielefeld University. Education: BSc/MSc in Natural Sciences from Radboud University Nijmegen, followed by a PhD in Zurich. Teaching roles include coordinating Biostatistics II Big Data Management in Ecology and Evolution Quantitative Research Skills and contributing to Advanced Statistics and Biological Modelling courses. Research interests focus on: Multiscale interactions in ecological and evolutionary dynamics Individual heterogeneity and its population-level implications Applications of statistical and computational methods in ecology Recent articles explore topics like nonlinear averaging in population interactions, island biogeography of Asteraceae, and niche mechanisms. His work bridges theoretical models with empirical systems, such as fur seal density patterns and Arctic charr migration. He supervises student research projects and collaborates on grants like 'Teaching coding effectively through interactive formative assessments' (2023–2025). Labs/Teams: Leads the Van Benthem group, integrating data science and biostatistics into ecological research.

• Plant Genetics
• Genomics
• Molecular Biology
• +۳ مورد دیگر

Christian Bachem is a Researcher at the Laboratory of Molecular Biology, Wageningen University & Research, focusing on plant genetics and genomics. His work centers on understanding the genetic basis of agronomic traits in crops like potato, including tuber development, stress responses, and genetic diversity. He has led and contributed to projects such as the Accelerated Development of multiple-stress tolerant PoTato (ADAPT) and the genomic basis of modern potato cultivars. Bachem has supervised multiple PhD candidates, including studies on self-compatibility, tuber traits, and genome-wide association studies. His research integrates multi-omics data (genomics, transcriptomics, metabolomics) to uncover mechanisms underlying plant adaptation. Notable contributions include the genomic variation map of potato and studies on circadian regulation of metabolic pathways. He has also served as an editor for Potato Research journal since 2000.

Farshid Jafarpourمشاهده پروفایل

استادیار

• Theoretical Biological Physics
• Statistical Physics
• Biophysics
• +۵ مورد دیگر

Dr. Farshid Jafarpour is an Assistant Professor of Theoretical Physics at Utrecht University's Faculty of Science. He is affiliated with the Theoretical Physics (ITF) group, specializing in Condensed Matter Theory and Statistical & Computational Physics. His research focuses on applying stochastic processes, nonlinear dynamics, and nonequilibrium statistical physics to biological systems across scales, including bacterial growth modeling, biological homochirality origins, and pattern formation in chemical/biological systems. He teaches courses such as Advanced Topics in Theoretical Physics II, Biological and Soft Matter Physics, and Stochastic Processes in Biophysics. His work bridges single-cell dynamics with population-level phenomena, emphasizing the interplay between stochasticity and deterministic processes in biological systems. Recent publications explore population growth oscillations, noise-induced symmetry breaking, and scaling concepts in genomic data. Dr. Jafarpour's research group offers projects for students with strong probabilistic and coding skills, particularly in stochastic modeling. His contributions span theoretical physics and biophysics, addressing fundamental questions about life's emergence and biological complexity.

Wilbert Zwartمشاهده پروفایل

استاد

• Biomedical Engineering
• Molecular Biology
• Cancer Research
• +۳ مورد دیگر

Wilbert Zwart is a Part-time Full Professor in the Department of Biomedical Engineering at Eindhoven University of Technology (TU/e). His research focuses on molecular mechanisms underlying cancer progression, epigenetic regulation, and computational modeling of tumor microenvironments. He collaborates actively with interdisciplinary teams in chemical biology and systems biology. Key research interests include chromatin dynamics, CRISPR-Cas9 editing efficiency modulation, and agent-based modeling of tumor growth. Recent work addresses epigenetic drug effects on gene editing tools and genomic heterogeneity in breast tumors. His studies integrate computational approaches with experimental biology to uncover cancer vulnerabilities. Publications span high-impact journals like Genome Biology, Nucleic Acids Research, and npj Systems Biology and Applications. No ancillary activities are listed, and no scientific awards are mentioned. Collaborations include co-authors from TU/e and international institutions, though formal student advisees are unspecified. Wilbert Zwart contributes to TU/e's Biomedical Engineering research ecosystem without noted lab-specific details or grant mentions in the provided text.

Rodolfo Aramayoمشاهده پروفایل

دانشیار

• Genetics
• Genomics
• Molecular Biology
• +۵ مورد دیگر

Rodolfo Aramayo serves as Associate Professor in the Department of Biology at Texas A&M University, specializing in genetics, genomics, and computational approaches to biological information systems. His interdisciplinary work bridges molecular biology, bioinformatics, and epigenetics with significant editorial contributions to PeerJ across 20+ life science disciplines. His academic journey includes: B.S. in Molecular Biology, University of Brasilia (1982) M.S. in Molecular Biology, University of Brasilia (1986) Ph.D. in Genetics, University of Georgia (1992) Postdoctoral Training, University of Wisconsin Madison (1993) Postdoctoral Training, Stanford University (1997) Dr. Aramayo pioneered Digital Biology, a framework for converting biological information into digital formats to uncover genomic patterns through computational analysis. His laboratory investigates meiotic silencing in Neurospora crassa, focusing on how unpaired DNA triggers RNA-mediated silencing during meiosis. This work explores connections between fungal epigenetic mechanisms and analogous processes in nematodes and mammals, employing genetic, molecular, and biochemical approaches to identify key molecular players. His 15 most recent editorial contributions reveal a research trajectory spanning molecular diagnostics, cancer genomics, microbial ecology, and computational tool development. Articles demonstrate consistent focus on RNA mechanisms, genomic pattern recognition, and cross-species epigenetic comparisons, with increasing emphasis on computational biology applications since 2020. No scientific awards were documented in the provided materials. Dr. Aramayo maintains an active research laboratory investigating Digital Biology applications and meiotic silencing mechanisms. His editorial leadership at PeerJ demonstrates commitment to advancing life sciences scholarship, with recent contributions covering emerging RNA therapeutics, ancient DNA analysis, and sustainable agricultural microbiology. Current work extends Digital Biology approaches from animal genomes to fungal, plant, and bacterial systems.

Thomas Hacklمشاهده پروفایل

استادیار

• Evolutionary Bioinformatics
• Genomics
• Virology
• +۳ مورد دیگر

Dr. Thomas Hackl is an Assistant Professor in Eco-Evolutionary Bioinformatics at the University of Groningen's Faculty of Science and Engineering, affiliated with the Groningen Institute for Evolutionary Life Sciences. His research investigates how organisms adapt and diversify through genomic mechanisms, studying processes like horizontal gene transfer in viruses, fungi, and marine microbes. He develops computational tools for genomics data analysis and visualization. Research focuses on: Genomic plasticity in marine cyanobacteria and eukaryotic hosts Viral integration mechanisms and virophage evolution Endophytic fungal biosynthetic pathways Bioinformatics workflow development Publications demonstrate innovations in detecting endogenous viral elements, characterizing marine microbial communities, and fungal secondary metabolism. Recent work reveals virophage retrotransposon colonization, Prochlorococcus genomic diversity, and horizontal gene transfer dynamics. He teaches Ecological & Evolutionary Genomics, Microbiome, and Practical Computing for Biologists, while supervising BSc/MSc research projects and leading the 'Teaching coding effectively' educational initiative.

Rolf Sijmonsمشاهده پروفایل

استاد

• Medical Translational Genetics
• Familial Cancer
• Clinical Pharmacogenetics
• +۳ مورد دیگر

Rolf Sijmons is a Professor of Medical Translational Genetics at the Department of Genetics, University Medical Center Groningen (UMCG). He leads the 'Mainstreaming' initiative to integrate genetic knowledge into clinical practice. His roles include: Senior Consultant Clinical Geneticist Editor-in-Chief of the Familial Cancer Database Member of European Reference Networks (ERN GENTURIS) and InSiGHT committees Research focuses on familial cancer syndromes, clinical pharmacogenetics, and decision support systems. He established the nationally accredited expert center for familial colorectal cancer and contributes to EU-level hereditary cancer initiatives. Notable collaborations include the Dutch Colorectal Cancer Group (DCCG) and the European Hereditary Tumour Group (EHTG). Publications emphasize Lynch syndrome epidemiology, genetic testing strategies, and multidisciplinary care integration. His work bridges clinical genetics with practical healthcare applications, particularly in hereditary oncology. Professional contributions include: Task Force 5 of ERN GENTURIS MMR gene variant interpretation committee (InSIGHT) Editorial roles in Human Mutation and Familial Cancer Database Current projects investigate pre-emptive pharmacogenetic testing, genomics decision support tools, and genetic variants in familial cancers like multiple myeloma.

• Bayesian statistics
• Statistical genetics
• Functional Genomics
• +۶ مورد دیگر

G.A. (Gerton) Lunter is a Professor of Medical Statistics at the University of Groningen's Faculty of Medical Sciences, Department of Epidemiology. He holds a Visiting Professorship in Computational Biology and Artificial Intelligence at the University of Oxford's Weatherall Institute of Molecular Medicine. With a dual MSc in Mathematics and Theoretical Physics from Groningen University (1994), and a PhD in Mathematics (Dynamical Systems) from the same institution (1999), his career spans academic and industrial research roles. His research expertise includes Bayesian statistics, statistical genetics, functional genomics, machine learning, and evolutionary biology. Key focus areas are computational methods for genomic analysis, medical statistics applications in epidemiology, and AI-driven healthcare solutions. Notable contributions include developing statistical frameworks for analyzing high-throughput genomic data and advancing methods for interpreting structural and non-coding genetic variants in rare diseases. Lunter has held leadership roles such as Group Leader in Computational Biology at the MRC Weatherall Institute (2019–2020) and Co-founder/Head of Statistical Learning at Genomics plc (2014–2020). His work bridges academia and industry, with collaborative projects in clinical genomics and precision medicine. Current research emphasizes integrating machine learning with medical datasets to improve diagnostics and predict treatment outcomes in areas like oncology and chronic disease management. He has contributed to over 150 peer-reviewed publications, focusing on topics ranging from gestational hypertension epidemiology to AI-powered healthcare data analysis. His systematic reviews and cohort studies address lifestyle factors influencing chronic disease multimorbidity. Awards and recognitions are not explicitly listed but his sustained academic leadership and industry collaborations highlight significant professional standing.