جست‌وجوی استاد و پژوهشگر

Fletcher Hallidayمشاهده پروفایل

استادیار

• Disease Ecology
• Plant Pathology
• Biodiversity
• +۴ مورد دیگر

Fletcher Halliday is an Assistant Professor at the Department of Botany and Plant Pathology at Oregon State University, where he leads the Disease Ecology and Diversity Lab . His research focuses on understanding the interplay between host-pathogen communities, climate change, and land-use impacts on disease risk. Primary affiliation: Oregon State University Research lab: Disease Ecology and Diversity Lab Dr. Halliday's work explores how biodiversity moderates disease dynamics, with studies on fungal epidemics, coinfection interactions, and trait-based susceptibility in plant systems. His research spans elevational gradients, successional ecosystems, and climate manipulation experiments to uncover patterns in pathogen distribution and community assembly. Recent publications highlight trends in biodiversity-disease relationships, climate change effects on herbivory and infection, and multiscale ecological interactions. Articles from 2020–2025 emphasize meta-analytic frameworks, priority effects in parasite assembly, and the role of functional traits in disease risk prediction. The Disease Ecology and Diversity Lab investigates disease risk in complex ecological systems, prioritizing integrative approaches to pathogen community structure and climate-driven changes in host-parasite interactions.

Sharon L.R. Kardiaمشاهده پروفایل

استاد

• Genetic Epidemiology
• Cardiovascular Disease
• Gene-Environment Interactions
• +۳ مورد دیگر

Sharon L.R. Kardia is the Millicent W. Higgins Collegiate Professor of Epidemiology and Associate Dean for Education at the University of Michigan School of Public Health (SPH). She holds a PhD in Human Genetics (1991) and MA in Statistics (1990), both from the University of Michigan. Her research focuses on genetic epidemiology of chronic diseases, particularly cardiovascular conditions, emphasizing gene-environment and gene-gene interactions. She directs the Public Health Genetics Program and co-directs the Life Sciences and Society Program and the Michigan Center for Genomics and Public Health. Education: PhD in Human Genetics (University of Michigan, 1991); MA in Statistics (University of Michigan, 1990). Postdoctoral training in systems biology at the Department of Microbiology and Immunology. Research Interests: Genetic epidemiology of cardiovascular diseases, chronic disease prevention, genomic/epigenomic analyses in large cohorts, and translational public health genetics. Notable Projects: Co-leads initiatives integrating genomics with public health practice, including the Michigan Center for Genomics and Public Health. Her work spans population studies, analytical method development, and interdisciplinary program leadership. Labs/Teams: Public Health Genetics Program, Life Sciences and Society Program. Teaches courses on AI in public health (PUBHLTH555) and integrative learning experiences for MPH students (PUBHLTH680).

Caroline Schuppliمشاهده پروفایل

پژوهشگر

• Evolutionary Biology
• Cognitive Development
• Social Learning
• +۵ مورد دیگر

Dr. Caroline Schuppli is a Max Planck Research Group Leader at the Max Planck Institute of Animal Behavior in Konstanz and a Freigeist Fellow by the Volkswagen Foundation. She serves as IMPRS QBEE faculty , Adjunct Researcher at the University of Zürich, and Director of the SUAQ Orangutan Research Project in Indonesia since 2017. Her work bridges evolutionary biology and cognitive ecology through longitudinal studies of Sumatran orangutans. Education: PhD in Evolutionary Biology (2012-2016), University of Zürich MSc in Anthropology (2010-2012), University of Zürich BSc in Biology (2007-2010), University of Zürich Her research investigates how social learning , environmental complexity , and maternal behavior shape cognitive evolution in great apes. Key themes include: Comparative analyses of wild vs. captive orangutan cognition Development of ecological skills and cultural repertoires Role of curiosity and innovation in cognitive evolution Interplay between life history and brain size trade-offs Recent publications emphasize nested skill acquisition , maternal behavior plasticity , and cross-taxa comparisons of social learning mechanisms. She has mentored PhD candidates like Nora Slania , Adriana Luna , and Emma Lokuciejewski . Scientific Awards: Freigeist Fellowship (2021) Swiss National Science Foundation Postdoc Funding (2019-2020) As President of the SUAQ Foundation and collaborator with institutions across Switzerland and Germany, she integrates fieldwork at Suaq Balimbing with global comparative frameworks.

Rod Snowdonمشاهده پروفایل

استاد

• Plant Breeding
• Genomics
• Agricultural Science
• +۴ مورد دیگر

Rod Snowdon is a Professor and Chair of Plant Breeding at Justus-Liebig-Universität Giessen since 2013. He holds honorary positions at The University of Queensland, Southwest University, and Hunan Agricultural University, and leads the IRTG 2843 international research training group. Education: PhD in Biometry and Population Genetics (1997-2001), MSc in Plant Genetics (1991), BSc in Biology (1989) Key Roles: Editor-in-Chief of Theoretical and Applied Genetics, member of DFG Review Board, and scientific advisor for Julius Kühn Institute His research focuses on genomic and genetic dissection of complex traits in crops like oilseed rape, sorghum, wheat, barley, and faba bean. He specializes in trait prediction using multi-omics data and analyzing structural genome variation's impact on quantitative traits and crop evolution. Recent publications highlight his work in genotype-environment interactions , faba bean genome analysis , sorghum conservation breeding , and canola establishment strategies . Trends include crop adaptation to environmental stress, genomic resource development, and sustainable breeding methodologies. Honors: Honorary Doctorate from Iasi University, OECD Fellowship Leadership: Chair of Multinational Brassica Genome Project (2013-2015), Speaker of IRTG 2843 As Editor-in-Chief and advisory board member, he shapes global plant breeding research directions. His lab integrates molecular techniques with population genetics to enhance crop resilience and productivity.

David Hyten, Jr.مشاهده پروفایل

استاد

• Plant Genetics
• Soybean Genomics
• Molecular Breeding
• +۴ مورد دیگر

David Hyten, Jr. serves as the Haskins Professor of Plant Genetics within the Department of Agronomy & Horticulture at the University of Nebraska-Lincoln, where he leads research advancing soybean genomics and breeding methodologies for global food security. Education: Ph.D., University of Maryland, 2005 M.S., University of Tennessee, 2002 B.A., Southern Illinois University, 1999 Research Focus: Dr. Hyten's program integrates high-throughput genotyping with quantitative genetics to dissect complex traits including disease resistance (cyst nematode, stem borer), seed composition (protein/oil), and yield stability. His work pioneers genomic selection pipelines and recombination hotspot analysis to accelerate breeding cycles, with emphasis on translating genomic discoveries into practical cultivar development through marker-assisted selection and predictive modeling. Publication Trends: Recent outputs (2021-2025) reveal evolving emphasis from foundational genomics (recombination mapping, QTL identification) toward applied breeding solutions, including cost-effective DNA extraction methods, pedigree-based imputation techniques, and community strategic planning for soybean genomics. His work increasingly addresses genotype-environment interactions and stability of key traits across diverse production systems.

Cen Wuمشاهده پروفایل

دانشیار

• High dimensional data
• Statistical machine learning
• Bayesian sparse learning
• +۷ مورد دیگر

Cen Wu serves as Associate Professor in the Department of Statistics at Kansas State University and Faculty Scientist at the Johnson Cancer Research Center. His methodological research focuses on developing robust statistical machine learning approaches for high-dimensional cancer genomic data integration, addressing challenges where measurement dimensions far exceed sample sizes. Dr. Wu earned his Ph.D. in Statistics from Michigan State University in 2013, followed by a postdoctoral fellowship in Biostatistics at Yale School of Public Health (2013-2015). He joined Kansas State University as Assistant Professor in 2015, was promoted to Associate Professor in 2021, and has maintained dual appointments in Statistics and Cancer Research since 2016. His research program centers on Bayesian sparse learning methods for cancer genomics, with particular emphasis on robust variable selection techniques that accommodate outliers and heavy-tailed distributions common in genomic studies. He develops integrative approaches for multi-platform genomic data (mRNA expression, copy number variations, DNA methylation) to elucidate cancer etiology and identify prognostic markers. His work bridges theoretical statistics with practical clinical applications, including adaptive prediction of patient recruitment in clinical trials. Analysis of his recent publications reveals consistent focus on gene-environment interaction modeling through advanced Bayesian frameworks, with increasing emphasis on longitudinal data structures and robust inference procedures. His methodological innovations frequently translate into practical R packages that implement these complex statistical techniques for broader research communities. Dr. Wu actively contributes to the academic community as Associate Editor for TEST and BMC Genomics, and previously served as Guest Editor for a special issue on Bayesian Learning in Entropy. He maintains active collaborations with cancer researchers at the Johnson Cancer Research Center, applying his statistical expertise to real-world cancer genomics problems. His laboratory develops and implements cutting-edge statistical methods through R packages including 'mixedBayes', 'pqrBayes', 'roben', and 'interep', which address specific challenges in high-dimensional data analysis for cancer research. Current projects focus on extending robust Bayesian frameworks to handle increasingly complex genomic data structures while maintaining computational efficiency.

• Plant Genetics
• Crop Biodiversity
• Breeding Informatics
• +۵ مورد دیگر

Karl Schmid is a W3 Professor of Crop Plant Biodiversity and Breeding Informatics at the University of Hohenheim's Institute of Plant Breeding, Seed Science and Population Genetics within the College of Agricultural Sciences. His research integrates evolutionary genetics, population genomics, and machine learning to address agricultural challenges. Ph.D. in Biology, University of Munich (1996) Postdoctoral Research, Cornell University (1997-1999) Emmy-Noether Research Group, Max Planck Institute of Chemical Ecology (2000-2006) Group Leader, Leibniz Institute of Plant Genetics (2006-2008) Professor of Genetics, Swedish Agricultural University (2008) His research focuses on crop biodiversity conservation, evolutionary genetics of plant pathogens, and breeding informatics applications. Current work leverages deep learning for phenotyping (quinoa panicles, barley genomics) and analyzes pathogen evolution (Exserohilum turcicum in maize). His team actively develops computational tools like GGoutlieR for geo-genetic pattern detection. Recent publications demonstrate strong trends in applying AI to agricultural genomics, particularly in quinoa improvement and pathogen surveillance. His group leads the EU H2020 INVITE project on molecular markers in plant variety protection and organizes international symposia like the 2024 Quinoa Symposium at Hohenheim. Head of Crop Biodiversity and Breeding Informatics Group Principal Investigator, EU H2020 INVITE project Organizer, International Quinoa Symposium 2024

Marissa A. Ehringerمشاهده پروفایل

استاد

• Behavioral Genetics
• Substance Use Disorders
• Genomics
• +۳ مورد دیگر

Marissa A. Ehringer is Professor and Chair of the Department of Integrative Physiology at the University of Colorado Boulder, with a joint appointment at the Institute for Behavioral Genetics. Her research focuses on identifying genetic mechanisms underlying substance use disorders using genomics and bioinformatics approaches. She directs the Genetics of Substance Use Disorders Laboratory and mentors graduate trainees. Education: B.S. Biology & B.A. French, Indiana University (1995) Ph.D. Human Medical Genetics, University of Colorado Health Sciences Center (2001) Research Interests: Her work integrates behavioral genetics with genomic technologies to study alcohol, tobacco, and opioid use disorders. Key areas include: genetic epidemiology of addiction, neuropharmacology of substance responses, microbiome-gene interactions in opioid use disorder, and translational models of anxiety-related behaviors. Publications: Recent articles demonstrate strong focus on opioid genetics (33%), anxiety mechanisms (25%), diversity/inclusion in genomics (17%), and translational rodent models (25%). Methodological emphasis includes GWAS, transcriptomics, and microbiome analyses. Honors: NIH Training Fellowships (NIMH, NIDA) Leadership positions: RSA Board Member, IBNGS President Faculty Leadership Institute Fellow UROP Outstanding Mentor Award Training & Grants: Currently advises 6 graduate students. Active NIH grants include: U01 DA051937 (genetic networks in opioid disorder), R21 DA05781 (glial role in nicotine behaviors), and AB Nexus award (GCKR variant effects).

Hans-Peter Piephoمشاهده پروفایل

استاد

• Statistical Methods in Plant Sciences
• Genomic Prediction
• Spatial Modeling for Field Trials
• +۵ مورد دیگر

Prof. Dr. Hans-Peter Piepho is a faculty member at the University of Hohenheim , serving as Director of Biostatistics (340c) within the Institute of Crop Science . His research focuses on advanced statistical methods for plant sciences, including genomic prediction, spatial modeling of field trials, and network meta-analysis. Key research areas: Genotype-environment interaction, mixed model applications, and experimental design in agriculture. Collaborations span plant breeding, cultivar testing, and environmental stress analysis. His group emphasizes mixed model procedures as the backbone of methodological innovation. Recent publications highlight climate change adaptation, nitrogen optimization, and agroforestry yield dynamics. Contact: piepho@uni-hohenheim.de | Fruwirthstr. 23, Institute Building, 211, Stuttgart, Germany

Rauri C.K. Bowieمشاهده پروفایل

استاد

• Evolutionary Biology
• Phylogeography
• Conservation Genetics
• +۷ مورد دیگر

Rauri C.K. Bowie is a professor at the University of California, Berkeley, holding the Virginia & Robert Gill Chair in Natural History. His research focuses on evolutionary biology and genomics of vertebrates, particularly birds from Africa and Western North America. Key Research Areas: Phylogeography, convergent evolution, microbiome roles in disease/metabolism, adaptive landscapes, and conservation genetics The Bowie Lab combines fieldwork, museum collections, and genomic approaches to study biological diversity across tropical biomes and temperate regions. Current projects involve nectar-feeding birds, island radiations, and human impacts on genetic connectivity. Selected publications highlight expertise in: Phylogenetic analysis of avian species complexes Adaptive traits in montane and aridland systems Microbiome dynamics in migratory and resident species Conservation genomics of endangered birds The lab actively promotes inclusivity in science and collaborates on NSF-funded projects investigating: Migration impacts on host-pathogen relationships Mitochondrial selection in penguins Hybridization dynamics in owls and juncos

• Vegetable Breeding
• Plant Biotechnology
• Molecular Marker-Assisted Selection
• +۳ مورد دیگر

Ayşe Nur Şavkan serves as Assistant Professor in the Department of Horticulture at Kırşehir Ahi Evran University's Faculty of Agriculture since 2025, following her tenure as Lecturer (2020-2025) at the same institution. Her academic foundation includes a PhD (2018-2023), MSc (2015-2018), and BSc (2011-2015) in Horticulture from Selçuk University, establishing her expertise in vegetable crop improvement. Her educational qualifications: PhD in Horticulture, Selçuk University (2018-2023) MSc in Horticulture, Selçuk University (2015-2018) BSc in Horticulture, Selçuk University (2011-2015) Dr. Şavkan's research integrates molecular biotechnology with traditional breeding to enhance vegetable crops' resilience. She specializes in developing stress-tolerant genotypes through molecular marker-assisted selection, with particular emphasis on salinity and cold tolerance in peppers and squash. Her work bridges laboratory techniques with field applications to address climate-related agricultural challenges, focusing on both morphological characterization and physiological mechanisms of stress adaptation. Analysis of her 14 publications (2020-2025) reveals consistent thematic progression in vegetable breeding. Early work established foundational knowledge in dihaploidization techniques for squash, while recent studies demonstrate sophisticated integration of machine learning for germination analysis and molecular screening for dual virus resistance in peppers. Her research trajectory shows increasing methodological complexity—from basic morphological characterization to multi-omics approaches—while maintaining focus on practical crop improvement for Turkish agriculture. Dr. Şavkan has not received documented scientific awards to date. Her research leadership is evidenced through principal investigatorship of a current Kırşehir Ahi Evran University project (2025-2026) investigating low-temperature pepper germination using machine learning. As co-investigator, she has contributed to nine additional projects including TÜBİTAK-funded initiatives on salt-tolerant pepper development and virus-resistant vegetable breeding, demonstrating sustained research productivity. She operates within a robust collaborative network centered at Kırşehir Ahi Evran University, with particularly strong partnerships with Önder Türkmen (13 joint publications) and Ayşe Çandar (7 collaborations). This interdisciplinary team combines expertise in molecular biology, plant physiology, and field horticulture to address complex agricultural challenges through integrated research approaches.

• Human Genetics
• Genetic Mapping
• Inherited Disorders
• +۷ مورد دیگر

Professor Tayfun Özçelik serves as Dean of the Faculty of Science at Bilkent University, where he chairs the Department of Molecular Biology and Genetics. A distinguished human geneticist, his career spans foundational work in identifying genes for inherited disorders and pioneering DNA identification in Turkish judiciary systems. He has led diagnostic genetics laboratories at both Istanbul and Bilkent Universities. 1986: MD, İstanbul University Medical School Postdoctoral: Physiology (Munich), Human Genetics (Yale), Howard Hughes Medical Institute (Stanford) His research focuses on molecular characterization of inherited disorders including Prader-Willi syndrome, Charcot-Marie-Tooth disease, and Parkinson’s. Current projects examine complex phenotypes like obesity and polycystic ovarian syndrome through genetic mapping and reverse phenotyping in consanguineous families. Recent work explores type I IFN immunity in severe COVID-19 cases. Key scientific contributions include discoveries of SNRPN for PWS, PMP22 for CMT1A, and HTRA2 for Parkinson’s. His lab also identified genes VLDLR , WDR81 , and ATP8A2 linked to cerebellar hypoplasia. Scientific Awards TÜBİTAK Young Investigator Award (1996) Bayındır Medical Award (2006) TÜBİTAK Science Award (2012) Dr. Özçelik has advised numerous graduate students and collaborates internationally, particularly with Rockefeller University. His work extends to X chromosome inactivation patterns in autoimmune diseases and establishing genomic medicine infrastructure in Turkey.

Karen E. Mockمشاهده پروفایل

استاد

• Molecular Ecology
• Landscape Genetics
• Conservation Genetics
• +۳ مورد دیگر

Karen E. Mock is a Professor in the Wildland Resources department at Utah State University’s Quinney College of Natural Resources. She holds a Ph.D. in Biology from Northern Arizona University (2000), an M.S. in Environmental Health from Colorado State University (1985), and a B.S. in Microbiology from the University of Texas at Austin (1980). With over 10 years of prior teaching at Yavapai Community College and extensive experience at USU, she teaches Genetics in Conservation and Management and graduate special topics in landscape genetics and Bayesian data analysis. Education: Ph.D., Biology, Northern Arizona University, 2000 M.S., Environmental Health, Colorado State University, 1985 B.S., Microbiology, University of Texas at Austin, 1980 Her research focuses on molecular ecology , examining landscape patterns of gene flow and genetic diversity in species such as aspen, freshwater mussels, frogs, mountain pine beetles, bears, Phragmites, and wild turkeys. She employs molecular markers to inform conservation strategies, habitat management, and population monitoring. Recent publications highlight her work on aspen clonality , freshwater mussel phylogeny , and invasive species genetics . Her research integrates landscape genetics , phylogenetics , and conservation genomics across terrestrial and aquatic ecosystems. Scientific Awards: Quinney College of Natural Resources Researcher of the Year, 2014 Quinney College of Natural Resources Undergraduate Advisor of the Year, 2010 College of Natural Resources Undergraduate Mentor of the Year, 2008 College of Natural Resources Teacher of the Year, 2007 Best Student Paper Award, Arizona-New Mexico Wildlife Society, 2000 Roger Hungerford Student Award, Arizona-New Mexico Wildlife Society, 2000 Mock has mentored numerous graduate students, including Ph.D. candidates in Wildland Resources and Watershed Sciences , with research spanning population genetics , conservation strategies , and molecular ecology . She contributes to journals such as Molecular Ecology , Conservation Genetics , and Forest Science .

Dongwon Leeمشاهده پروفایل

استادیار

• Computational Biology
• Genomics
• Machine Learning
• +۷ مورد دیگر

Dongwon Lee is an Assistant Professor of Pediatrics in the Division of Nephrology at Boston Children's Hospital and Harvard Medical School. He is affiliated with the Manton Center for Orphan Disease Research and serves as an Associate Member of the Broad Institute of MIT and Harvard. Additionally, he is a faculty member of the Harvard Bioinformatics and Integrative Genomics (BIG) PhD Program, where he contributes to training the next generation of computational biologists. Dr. Lee received his PhD in Biomedical Engineering from Johns Hopkins University in 2013 and completed postdoctoral research at the Center for Human Genetics and Genomics at NYU School of Medicine. His educational background has provided a strong foundation for his interdisciplinary research at the intersection of computational biology, genomics, and pediatric kidney diseases. Dr. Lee's research focuses on understanding how gene regulation contributes to the development and progression of human diseases, specifically pediatric kidney diseases. His laboratory employs a combination of single-cell multiomics data, genetic data from disease cohorts, functional assays, and machine-learning approaches to address complex biological problems. Key research areas include building cell-type-specific gene regulatory networks, developing machine-learning models to identify regulatory variants, and validating predictions using high-throughput sequencing technologies in collaboration with experimental biologists. His work has significant implications for understanding the molecular basis of kidney diseases and developing new genomic computational tools. Analysis of Dr. Lee's recent publications reveals a strong trend toward increasingly sophisticated integration of single-cell multiomic data with machine learning techniques to understand transcriptional regulation in kidney disease. His research spans computational method development, regulatory genomics, and translational applications in nephrology, with a growing emphasis on cell-type-specific resolution and clinical correlations. Dr. Lee leads an active research laboratory with multiple computational biologists and research assistants. His team includes current members Anya Greenberg, Jeerthi Kannan, Yangyang Lin, Daniel Nguyen, and Eric Sakkas, as well as notable alumni including Seong Kyu Han (now Assistant Professor in South Korea), Ana Onuchic-Whitford (now Instructor at Harvard Medical School), and Jihoon Yoon (now Clinical Fellow in South Korea). His laboratory regularly recruits postdoctoral fellows and research assistants with computational backgrounds to advance their research on genomic regulation of kidney diseases. The Lee Laboratory has developed several important computational tools including LS-GKM (a scalable gkm-SVM for large-scale datasets), gkmQC (for quality assessment of chromatin accessibility data), and MTSA (for MPRA tag sequence analysis). These resources are publicly available on GitHub and have been widely adopted by the genomics research community. The laboratory maintains strong collaborative relationships with clinicians and experimental biologists to ensure their computational approaches have meaningful biological and clinical relevance.

• Marine Ecology
• Invasive Species
• Trophic Dynamics
• +۴ مورد دیگر

Katri Aarnio is a Researcher at the Environmental and Marine Biology department, Faculty of Natural Sciences and Engineering, Åbo Akademi University. Her work focuses on marine ecology , particularly invasive species , food web dynamics , and trophic niche plasticity . Research Themes : Trophic Position, Non-indigenous Species, Food Web Structure Key Systems : Baltic Sea, Coastal Ecosystems Her recent publications analyze round goby invasions, stable isotope ratios in marine consumers, and environmental drivers of benthic community dynamics. Collaborations include researchers like Emma Bonsdorff and Mats Nordström. Scientific contributions span ecological monitoring , habitat disturbance , and trait-based food web analysis . She has co-authored datasets on macrofaunal communities and algal epifauna .