جست‌وجوی استاد و پژوهشگر

György Barabasمشاهده پروفایل

دانشیار

• Theoretical Ecology
• Ecological Modeling
• Community Dynamics
• +۷ مورد دیگر

György Barabas is an Associate Professor (Docent) at Linköping University, affiliated with the Department of Physics, Chemistry and Biology (IFM) within the Faculty of Science and Engineering. His research is centered in the Division of Biology, where he conducts theoretical and computational studies in ecology and environmental modeling. Research Interests: His work focuses on theoretical ecology , particularly species coexistence, community dynamics, food web structure, and the impacts of climate change and habitat loss on biodiversity. He employs mathematical, statistical, and computational models to analyze complex ecological systems and large datasets. The recent publications indicate a strong trend in mechanistic and trait-based modeling of ecological communities, integrating individual variation and transient dynamics. His work spans both pure ecological theory and interdisciplinary applications, including ethical aspects of environmental policy. Articles appear in top-tier journals such as American Naturalist , Ecology Letters , and PLOS ONE , reflecting a broad impact across ecology and evolutionary biology. Scientific Awards: No awards mentioned in the provided text. Advising and Grants: No information available regarding students, advising, or research grants. There is no mention of funded projects or mentorship roles in the current data. Labs and Research Teams: Research is conducted within the Division of Biology at IFM, focusing on integrative ecological modeling. While no specific lab name is provided, the work is collaborative and involves interdisciplinary modeling efforts at Linköping University.

Alessandro Casaمشاهده پروفایل

دانشیار

• Mixture Models
• Modal Clustering
• Graphical Models
• +۵ مورد دیگر

Alessandro Casa is an Associate Professor of Statistics at the Faculty of Economics and Management, Free University of Bozen-Bolzano (Italy). His research focuses on developing statistical methodologies for high-dimensional and complex data, including latent variable models, density-based clustering, and applications in spectroscopy. He holds a PhD in Statistics from the University of Padova (2016-2020), preceded by master's and bachelor's degrees in Statistical Sciences and Statistics, Economics, and Finance, both from the University of Padova. Education: PhD in Statistics, University of Padova (2016-2020) Master Degree in Statistical Sciences, University of Padova (2014-2016) Bachelor Degree in Statistics, Economics, and Finance, University of Padova (2011-2014) Research Interests: Mixture models, modal clustering, graphical models, variable selection, latent variable modeling, high-dimensional data inference, computational statistics, and chemometrics. His work often addresses challenges in spectroscopic data analysis and applications in agriculture and physics. Teaching: Statistical Methods for Business Analysis (MSc programs) Research Methods and Experimental Design (Tourism Management) Statistics for Tourism, Sport, and Event Management (BSc) Professional Experience: Associate Professor (2024–Present), Free University of Bozen-Bolzano Senior Assistant Professor (2024), University of Bergamo Postdoctoral Research Fellow (2019–2021), University College Dublin Labs/Teams: Collaborations with Vistamilk SFI Research Centre and Insight SFI Research Center during his postdoctoral tenure. Active in model-based clustering research communities, contributing to conferences and workshops globally.

Eric Turkheimerمشاهده پروفایل

استاد

• Behavior Genetics
• Quantitative Psychology
• Genetics of Intelligence
• +۷ مورد دیگر

Eric Turkheimer is the Hugh Scott Hamilton Professor of Psychology at the University of Virginia, affiliated with the Department of Psychology in the College of Arts & Sciences. His work bridges empirical research, quantitative methods, and philosophical inquiry in psychology. Institution: University of Virginia School: College of Arts & Sciences Department: Department of Psychology Academic Rank: Professor Email: ent3c@virginia.edu Twitter: @ent3c His research centers on the genetics of complex behavior, especially how genes and environments interact to shape intelligence, personality, and family dynamics. He is particularly interested in sibling differences, parenting, marriage, and divorce, and he develops innovative methods for assessing personality while controlling for self-esteem bias. His philosophical work examines the implications of behavior genetics for human agency and free will. The most recent articles reflect a sustained focus on polygenic scores, heritability, gene-environment interactions (e.g., the Scarr-Rowe effect), and the philosophical foundations of behavioral genetics. His publications span topics from technical statistical methods to broader social and ethical implications, indicating a deeply interdisciplinary approach that integrates psychology, genetics, and social science. While no specific awards are listed in the provided texts, his leadership of a research lab, editorial contributions, and public scholarship through his blog Gloomy Prospect and online presence underscore his influence in the field. He actively mentors graduate students, seeking those with strong quantitative and writing skills interested in genetics, intelligence, personality, and philosophy of science. He teaches courses on the Nature-Nurture debate and Experimental Psychopathology. His lab, the Turkheimer Lab, conducts empirical and theoretical research on behavior development.

Carol Garzon Lopezمشاهده پروفایل

استادیار

• Spatial ecology
• Remote Sensing
• Biodiversity conservation
• +۶ مورد دیگر

C.X. (Carol) Garzon Lopez is an Assistant Professor of Earth and Environmental Sciences at Campus Fryslân, University of Groningen. She leads research on spatial ecology, biodiversity monitoring, and knowledge infrastructures, focusing on Latin America and tropical ecosystems. As director of Verde Elemental, she promotes ecological knowledge dissemination in Spanish. Her work bridges ecology with social factors influencing biodiversity understanding. Research Themes: Multi-scale biodiversity analysis using remote sensing (UAV, satellite) Impact of knowledge infrastructures on ecological science Spatial biases in species distribution modeling Páramo ecosystems resilience to climate change Recent Work Trends: Recent articles emphasize spatial bias mitigation in ecological modeling, Latin American biodiversity monitoring challenges, and urban biodiversity assessment methods. Her work integrates drone technology with traditional ecological methods to improve conservation strategies. Labs/Initiatives: Oversees Verde Elemental, a platform advancing Latin American ecological research visibility. Active in developing transdisciplinary frameworks for sustainable knowledge systems.

• Ecology
• Disturbance Ecology
• Fire Ecology
• +۳ مورد دیگر

Mali Hubert serves as Assistant Professor of Biology and Chair of Natural Sciences at Tennessee Wesleyan University, leading departmental operations while maintaining active research and teaching responsibilities in biological sciences. Her research centers on ecological responses to anthropogenic disturbances, particularly the dual pressures of urbanization and wildfire. She investigates plant community dynamics across natural-wildland-urban gradients, with extensive fieldwork in the Great Smoky Mountains National Park. Her interdisciplinary approach bridges ecosystem science and environmental education, examining both vegetation responses (including mycorrhizal fungi systems) and human dimensions like undergraduate attitudes toward disturbances. This work reveals critical insights into biodiversity loss, disturbance synergies, and conservation challenges in anthropogenically altered landscapes. Analysis of her 2019-2024 publications shows consistent methodological focus on gradient studies and disturbance interactions. Key trends include quantifying fire severity-urbanization synergies on plant communities, documenting disrupted biodiversity-ecosystem function relationships, and developing educational interventions to shift student perceptions of wildfires. Her work uniquely integrates biophysical ecology with social science metrics to address complex environmental challenges.

Aida Gomez-Roblesمشاهده پروفایل

دانشیار

• Paleoanthropology
• Human Evolution
• Evolutionary Biology
• +۷ مورد دیگر

Aida Gomez-Robles is an Associate Professor in Paleoanthropology at the University College London (UCL) Department of Anthropology , with affiliations at UCL’s Department of Genetics, Evolution & Environment (GEE) and the Natural History Museum’s Life Sciences Department . She holds a BSc in Biology (2004) and a PhD in Biological Anthropology (2010) from the University of Granada, Spain. Postdoctoral Fellow, Konrad Lorenz Institute (2011–2012) Postdoctoral Fellow, George Washington University (2012–2017) UCL-Excellence Research Fellow, UCL GEE (2017) Lecturer in Palaeoanthropology, UCL Department of Anthropology (2018–present) Her research focuses on human evolution , with emphasis on dental evolution , brain plasticity , and comparative anatomy . She employs geometric morphometrics and population genomics to analyze hominin fossils and explore the interplay between genetic and anatomical variation. Recent studies examine brain endocast accuracy , Neanderthal origins , and cranial asymmetry in primates . She teaches Palaeoanthropology modules at undergraduate and postgraduate levels, including hands-on fossil analysis and critical evaluation of evolutionary claims. Collaborations with UCL’s GEE and the Natural History Museum highlight her interdisciplinary approach to studying hominin evolutionary transitions , such as brain size increases and locomotion adaptations .

Claudia Solis-Lemusمشاهده پروفایل

استادیار

• Statistical Phylogenomics
• Microbiome Analysis
• Network Modeling
• +۵ مورد دیگر

Claudia Solis-Lemus is an Assistant Professor at the University of Wisconsin-Madison with dual appointments in the Department of Plant Pathology within the College of Agricultural and Life Sciences and the Wisconsin Institute for Discovery. Her work bridges statistical methodology development with biological applications, focusing on creating computationally efficient models that maintain biological interpretability and theoretical guarantees. Dr. Solis-Lemus earned her PhD in Statistics and MA in Mathematics, both from the University of Wisconsin-Madison. Her academic journey has positioned her at the intersection of statistics, computational biology, and evolutionary genomics. Her research program centers on three interconnected areas: statistical phylogenomics, microbiome analysis, and the application of deep learning in biological contexts. In statistical phylogenomics, she develops novel methods to reconstruct phylogenetic networks that can account for reticulate evolutionary processes like hybridization and horizontal gene transfer. Her work in microbiome analysis focuses on creating statistical frameworks to model microbial communities as networks and use these networks to predict host phenotypes. In deep learning applications, she addresses challenges in applying neural networks to biomedical data by developing methods with statistical guarantees and improved interpretability. Analysis of Dr. Solis-Lemus's recent publications reveals a strong emphasis on developing computationally efficient methods for analyzing complex biological networks. Her work spans from theoretical advances in phylogenetic network inference to practical software implementations for microbiome analysis. A notable trend is her focus on creating methods that balance statistical rigor with computational tractability, particularly for large-scale biological datasets. Her research increasingly integrates machine learning approaches with traditional statistical methods to address challenges in evolutionary biology and microbiome research. Dr. Solis-Lemus has received significant recognition through competitive grants including: NSF CAREER Award (DEB 2144367) for "Towards Scalable and Robust Inference of Phylogenetic Networks" USDA Individual Hatch grant for "Enhanced interaction and network statistical models for microbiome data" DOE Computational Tool Development award for "Harnessing the power of big omics data" USDA-NIFA hatch project 1023699 for "Novel interaction and network statistical models for microbiome data" NSF IntBIO Collaborative Research DEB Award 2316269 USDA NIFA award for "Unraveling The Microbial Mechanisms That Mediate Disease Resurgence In Plants" Dr. Solis-Lemus actively mentors a diverse research group including postdoctoral researchers, PhD students, MS students, and undergraduates. Her lab is supported by multiple grants totaling millions of dollars, enabling research that spans from theoretical statistics to practical applications in agriculture and medicine. She has successfully secured funding from NSF, DOE, USDA, and industry partners, demonstrating the broad relevance of her work across multiple domains. The Solis-Lemus Lab operates as an interdisciplinary team bringing together statisticians, biologists, computer scientists, and domain experts. The lab maintains strong collaborations with researchers across UW-Madison and nationally, particularly in plant pathology, microbiology, and evolutionary biology. They develop open-source software tools that are widely used in the scientific community, including PhyloNetworks for phylogenetic network analysis and CMiNet for microbiome network construction.

• Genetic epidemiology
• Statistical genetics
• Lipid genetics
• +۶ مورد دیگر

May E. Montasser, PhD, is an Adjunct Assistant Professor in the Department of Medicine at the University of Maryland School of Medicine. Based in Baltimore, she has been on the faculty since 2012, bringing over a decade of expertise in genetic epidemiology and statistical genetics to bear on complex human disease. Dr. Montasser earned her PhD at the Human Genetic Center, University of Texas School of Public Health, followed by two post-doctoral fellowships—first at the same institution and then at the University of Maryland, School of Medicine. Research Interests: Genetic epidemiology of lipids and cardiometabolic traits Statistical methods for genome-wide, whole-exome and whole-genome association studies Pharmacogenetics of antidiabetic and antiplatelet therapies Epigenome-wide association studies (lipids, blood pressure, diabetes) Multi-ethnic and founder-population genetics (Amish, TOPMed, CHARGE) Her work spans large consortia such as the NHLBI TOPMed Program, CHARGE, and multiple international collaborations. Notable discoveries include novel lipid-associated loci on chromosomes 5 and 9, and the functional characterization of a cardioprotective missense variant in B4GALT1 . Scientific Awards & Honors: No specific awards are listed in the provided text. Collaborations & Funding: NHLBI Trans-Omics for Precision Medicine (TOPMed) program CHARGE consortium epigenomics working group Amish Research Clinic longitudinal studies Multiple R01-level and consortium grants for genomic and pharmacogenomic research Laboratory & Teams: Dr. Montasser works within the Division of Endocrinology, Diabetes & Nutrition and maintains active collaborations with the Program for Personalized and Genomic Medicine and the Institute for Clinical & Translational Research at the University of Maryland. She mentors trainees through consortium projects and contributes to institutional cores in statistical genetics and high-performance computing.

Konrad Talbotمشاهده پروفایل

دانشیار

• Alzheimer's Disease Research
• Parkinson's Disease Research
• Brain Insulin Resistance
• +۵ مورد دیگر

Konrad Talbot, PhD is an Associate Professor at Loma Linda University School of Medicine with dual appointments in both the Pharmacology Division and Pathology Division. His research spans neuroscience, neuropharmacology, and the intersection of metabolic disorders with neurodegenerative diseases. Dr. Talbot's primary research interests focus on brain insulin resistance in Alzheimer's disease and other neurodegenerative conditions. His extensive work has explored the therapeutic potential of incretin receptor agonists (such as GLP-1 analogs) for treating Alzheimer's and Parkinson's diseases. He has made significant contributions to understanding how these diabetes medications cross the blood-brain barrier and potentially ameliorate cognitive decline associated with insulin resistance in the brain. Another major research focus has been on schizophrenia pathophysiology, particularly investigating the role of dysbindin-1 in synaptic function and how its disruption leads to cognitive deficits characteristic of schizophrenia. His work has connected molecular abnormalities in dysbindin-1 with NMDA receptor hypofunction and working memory impairments. Analysis of Dr. Talbot's recent publications (2022-2024) reveals a consistent trajectory in two main research streams: neurodegenerative diseases with emphasis on brain insulin resistance and incretin-based therapeutics, and schizophrenia research focusing on dysbindin-1 and synaptic protein networks. His work shows progression from basic molecular mechanisms toward potential clinical applications, with increasing emphasis on detailed pharmacokinetic studies of incretin receptor agonists in the brain. Dr. Talbot's research has been published in high-impact journals including Nature Medicine, Journal of Clinical Investigation, Alzheimer's and Dementia, and Molecular Psychiatry. His work bridges basic neuroscience with translational applications, particularly in repurposing diabetes medications for neurodegenerative conditions.

Christophe Dubussyمشاهده پروفایل

پژوهشگر

• Mathematical Analysis
• Didactics of Mathematics
• Genetics
• +۲ مورد دیگر

Christophe Dubussy is a researcher affiliated with the University of Liège, holding a Doctor of Science degree in Holomorphic Cohomological Convolution, Enriched Laplace Transform and Applications. His work spans mathematical analysis and didactic theory, with significant contributions to the intersection of mathematics and genetics. Education: Doctor of Science (2019), University of Liège His research focuses on holomorphic functions, convolution theory, and didactic transposition. Recent publications explore complex numbers in electrical circuits, the role of equations in interdisciplinary contexts, and epistemological references in teaching practices. His mathematical work connects to genetics through response eQTL analysis and regulatory variants. Scientific activity trends show expertise in Hadamard products, Paley-Wiener theorems, Laplace transforms, and cohomological convolution. These keywords reflect both his theoretical and applied research domains. Dubussy actively participates in academic conferences such as EMF 2025 and CORFEM 2023, presenting on didactic theory and interdisciplinary applications. His collaboration with institutions like the UNamur Institute for Research in Didactics and Education highlights his educational focus.

• 3-D genomics
• epigenomics
• chromatin topology
• +۵ مورد دیگر

Yuliang Feng is an Associate Professor and doctoral supervisor in the Department of Pharmacology, School of Medicine, Southern University of Science and Technology (SUSTech), China. He also serves as Vice-Chair of the Pan-Vascular Committee of the Guangdong Medical Education Association and holds editorial/reviewer roles for more than 25 international journals. Education Ph.D. in Molecular & Cellular Medicine, University of Oxford, UK (2019-2022) M.D. in Cardiovascular Pharmacology, Joint Ph.D. program, Southern Medical University & University of Cincinnati (2008-2014) B.M. in Preventive Medicine, Sun Yat-sen University, China (2003-2008) Research Interests Dr. Feng integrates 3-D genomics , epigenomics and computational biology to decode how higher-order chromatin organization governs transcriptional programs in human disease, with a focus on cardiovascular disease and cancer . His laboratory maps enhancer–promoter interactions using Hi-C, ChIA-PET and HiChIP, and develops multi-omics databases (e.g., EXPRESSO) to uncover therapeutic targets that reprogram pathological gene networks. Recent work reveals shared genetic architectures among major cardiovascular diseases, telomere-length contributions to disease onset, BRD9–SMAD2/3-mediated stemness in pancreatic cancer, and 3-D chromatin rewiring during dilated cardiomyopathy. These studies highlight his expertise in translating genome topology findings into diagnostic and precision-medicine strategies. Scientific Awards & Honors National Science Foundation of China Distinguished Young Scholar (Overseas), 2023 Guangdong Distinguished Young Scholar, 2023 Shenzhen Pengcheng Peacock Talent (Category C), 2023 Clarendon Scholar, University of Oxford, 2019-2022 ISHR Richard J. Bing Young Investigator Award Finalist, 2022 Multiple ISHR Young Investigator & Travel Awards (2010-2016) Grants & Leadership Dr. Feng currently leads projects funded by the National Natural Science Foundation of China and Guangdong Province, and participates in international consortia such as ENCODE, 4DN and BLUEPRINT. He mentors graduate students and postdocs, while coordinating collaborative teams across SUSTech, Oxford, and industry partners to develop next-generation epigenomic therapeutics. Laboratory & Teams The Feng lab operates within the SUSTech Medical Research Platform with access to state-of-the-art sequencing, single-cell and high-performance computing cores. The group maintains active collaborations with cardiac surgeons, oncologists and AI scientists to accelerate bench-to-bedside translation of 3-D genome-based interventions.

Rebekah Sendatzkiمشاهده پروفایل

پژوهشگر

• Adult playfulness with a focus on the work domain
• Dispositions toward ridicule and being laughed at
• Romantic relationships
• +۳ مورد دیگر

Rebekah Sendatzki is a researcher at the Department of Psychological Diagnostics and Differential Psychology within the Faculty of Philosophy I at Martin Luther University Halle-Wittenberg. She works in Room E.23 at Emil-Abderhalden-Straße 26 in Halle (Saale), Germany. Her research focuses on adult playfulness, particularly in work contexts, dispositions toward ridicule and being laughed at (gelotophobia, gelotophilia, and katagelasticism), romantic relationships, and psychological assessment methodologies. Her research interests span several interconnected domains. She investigates how playfulness manifests in adulthood, especially in professional settings, and how it relates to vocational interests and career choices. She examines the complex relationship between playfulness and romantic relationships, including attachment styles and jealousy. Her work on gelotophobia explores the fear of being laughed at and related phenomena across different contexts. Additionally, she contributes to methodological advancements in psychological assessment, particularly in personality psychology and validity of test instruments. Analysis of her recent publications reveals a strong focus on the application of playfulness research across multiple domains. Her work demonstrates increasing sophistication in methodological approaches, particularly in dyadic research using the Actor-Partner Interdependence Model (APIM). She has expanded playfulness research from individual contexts to workplace applications and romantic relationships, with a growing emphasis on cross-cultural validity and measurement. Graduate scholarship of the State of Saxony-Anhalt for the doctoral project 'Playfulness in Adulthood in a Work-Related Context' (2023-2026) Funding within the framework of 'FEMPOWER @ MLU' (2022) Young Researcher Scholarship to participate in the DGPs Congress 2022 (2022) Sendatzki serves as an ad-hoc reviewer for numerous prestigious psychology journals including Journal of Personality, Personality and Individual Differences, and BMC Psychology. She holds editorial positions as Editorial Assistant for Psychological Test Adaptation and Development (2024-) and on the Editorial Board of the International Journal of Applied Positive Psychology (2023-). She has conducted workshops on the Actor-Partner Interdependence Model and Open Science practices, demonstrating her commitment to methodological rigor and knowledge sharing within the academic community.

Shefali Setia Vermaمشاهده پروفایل

استادیار

• EHR genomics
• bioinformatics
• data integration
• +۴ مورد دیگر

Shefali Setia Verma, PhD serves as an Instructor in the Department of Pathology and Laboratory Medicine , holding an entry-level faculty appointment that combines teaching and translational research responsibilities. Education & Training: While specific degrees are not detailed in the provided text, her credential as “PhD Instructor” indicates doctoral-level training followed by post-doctoral or fellowship experience in computational biology, genomics, or a related quantitative biomedical field. Research Interests: Dr. Verma’s work is anchored at the intersection of genomics, bioinformatics, and women’s health . Core themes include: Integration and harmonization of large-scale electronic health record (EHR) data with genomic datasets to uncover disease mechanisms. Development and validation of polygenic risk scores (PRS) across diverse ancestries, with special attention to African and other under-represented populations. Translational application of multi-omics (genomics, proteomics, imaging-derived phenotypes) to complex diseases such as endometriosis, primary open-angle glaucoma, coronary microvascular disease, and cardiometabolic traits . Her methodological toolkit spans genome-wide association studies (GWAS), exome sequencing analyses, machine-learning-based risk modelling, and causal inference approaches , all aimed at advancing precision medicine. Publication Portfolio: Across 2024–2025 she has authored or co-authored more than thirty peer-reviewed articles. The collective body of work demonstrates a clear trend toward (1) expanding genomic discovery in ancestrally diverse cohorts, (2) integrating imaging or proteomic endophenotypes with germline genetics to sharpen disease prediction, and (3) translating these insights into clinically actionable tools for women’s health conditions such as endometriosis, preeclampsia, and breast cancer. Scientific Awards & Recognition: No specific prizes, fellowships, or named lectureships are mentioned in the provided text. Advising & Mentorship: No doctoral or master’s students are explicitly listed; however, her collaborative publication record suggests active mentoring and team science within large consortium efforts. Laboratory & Consortium Affiliations: While no dedicated laboratory name is supplied, her work is embedded within multi-institutional initiatives such as the Million Veteran Program and Global Biobank Meta-analysis Initiative, indicating access to extensive computational resources and diverse patient cohorts.

• Transportation Engineering
• Travel Behavior Modeling
• Autonomous Vehicles
• +۳ مورد دیگر

Evangelos Paschalidis serves as a Lecturer at the Teaching and Learning Service (SGC) within the School of Architecture, Civil and Environmental Engineering (ENAC) at École Polytechnique Fédérale de Lausanne (EPFL), while concurrently holding a Postdoctoral Researcher position at the Transportation and Mobility Laboratory (TRANSP-OR) in the Institute of Civil Engineering. His academic work centers on transportation systems analysis, mobility behavior modeling, and sustainable urban transport solutions, with strong methodological foundations in operations research and statistical modeling. His research spans transportation engineering, behavioral psychology, and sustainable mobility with particular emphasis on autonomous vehicle adoption, bicycle-pedestrian interactions, e-scooter integration, and driver behavior under stress. He employs advanced techniques including latent variable models, discrete choice modeling, system dynamics, and driving simulator experiments to analyze complex transportation phenomena and policy impacts. Key methodological contributions include sampling of alternatives in discrete choice models and human-like control algorithms for automated vehicles. Analysis of his 15 most recent publications (2021-2023) reveals dominant themes in emerging mobility technologies, with 40% focused on autonomous vehicles (CAV diffusion, liability perceptions, driving style evaluation), 30% on micro-mobility (e-scooters, bicycles), and 30% on traditional transport challenges (pedestrian safety, pandemic impacts). His work consistently integrates psychological factors with engineering models, demonstrating interdisciplinary approaches to transportation challenges. Methodologically, 70% of publications utilize discrete choice modeling variants while 30% employ system dynamics or control theory frameworks. Scientific Awards: No awards were documented in the provided source material. Advising and Grants: The available documentation contains no references to doctoral students, research grants, or funded projects. His lecturing role includes teaching "Decision-aid methodologies in transportation" with modules covering operations research and statistical modeling of transportation systems, focusing on applied problem-solving for driver behavior and decision support. Labs and Teams: Dr. Paschalidis is embedded in TRANSP-OR (Transportation and Mobility Laboratory) at EPFL, a research unit specializing in transportation systems analysis, mobility behavior, and sustainable transport solutions. The laboratory utilizes driving simulators, field data collection, and advanced modeling techniques to address real-world transportation challenges, with particular expertise in human factors and emerging mobility technologies.

Douglas R. Taylorمشاهده پروفایل

استاد

• Population Genetics
• Molecular Evolution
• Genomics
• +۵ مورد دیگر

Douglas R. Taylor is the Commonwealth Professor of Biology in the Department of Biology at the University of Virginia, where he leads research on population genetics, molecular evolution, and genomics with a focus on spatially structured populations. His work integrates molecular methods, field studies, and theoretical modeling to explore evolutionary dynamics in metapopulations. His research program centers on: Evolution of population structure and genetic diversity maintenance Genetics of biological invasions and range expansions Genetic conflict across biological levels (e.g., nuclear-mitochondrial interactions) Mitochondrial genome evolution in plants, particularly in the genus Silene Mating system evolution and sex ratio dynamics Analysis of his 2014-2025 publications reveals consistent emphasis on plant model systems (especially Silene species), with recurring themes in organelle genome evolution, cyto-nuclear coadaptation, and the ecological genetics of invasive species. His work frequently combines long-term field data with genomic approaches to address fundamental questions in evolutionary biology. Professor Taylor has secured significant research funding including an NSF LTREB grant for metapopulation studies in the Silene-Microbotryum host-pathogen system and an NSF CAREER award for sex ratio evolution research. He actively recruits graduate students and postdoctoral fellows to his lab, emphasizing collaborative opportunities through his 30+ year longitudinal study of natural metapopulations. The Taylor Lab, based in Gilmer Hall, maintains extensive genomic resources from long-term ecological studies and serves as a hub for collaborative research on evolutionary processes in structured populations, with particular applications to invasion biology and host-pathogen coevolution.