جست‌وجوی استاد و پژوهشگر

Stefania Degaetano-Ortliebمشاهده پروفایل

دانشیار

• Computational Linguistics
• Corpus Linguistics
• Sociolinguistics
• +۶ مورد دیگر

Stefania Degaetano-Ortlieb is an Associate Professor of English Linguistics and Corpus Linguistics at Saarland University's Department of Language Science and Technology. She serves as Principal Investigator for the Collaborative Research Center (SFB 1102) 'Information Density and Linguistic Encoding,' leading Project B1 on diachronic information density in English scientific writing (17th century-present). Her interdisciplinary work bridges computational methods with sociolinguistics, focusing on register variation, language change, and digital humanities. Research interests center on text mining, data analytics, and probabilistic modeling of language variation. Key areas include: Diachronic evolution of scientific registers and linguistic densification Information-theoretic approaches to language efficiency Computational sociolinguistics and register diversification AI applications in humanities education (e.g., ChatGPT integration) Her publications show a strong trend toward quantitative diachronic analysis, with recent work emphasizing: interpretable AI models for linguistic change detection; propagandistic narrative analysis in conflict zones; and multi-word expression dynamics in scientific discourse. Cross-disciplinary collaborations frequently intersect with history, psychology, and media studies. Awards include the Fellowship Excellence Program for Young Female Scientists (2015-2018). Current grants: EU Horizon MSCA Doctoral Network 'CASCADE' (€521K to UdS, 2024-2027) Data-Pin Project for AI in education (€50K, 2023-2024) SFB 1102 Project B1 (€595K, 2022-2026) Advises PhD candidates in the EU CASCADE project on computational semantic change. Leads a research team exploring Russian media narratives, personality modeling in LLMs, and multi-word expressions. Directs teaching modules integrating AI tools for humanities students.

Gerald Quonمشاهده پروفایل

دانشیار

• Computational Biology
• Single Cell Genomics
• Epigenomics
• +۵ مورد دیگر

Gerald Quon is an Associate Professor in the Department of Molecular and Cellular Biology at the University of California, Davis. He is affiliated with the Genome Center and participates in multiple graduate programs, including Integrative Genetics and Genomics, Neuroscience, Computer Science, Biostatistics, and Biomedical Engineering. Education: PhD in Computer Science from the University of Toronto (2012) MSc in Biochemistry from the University of Toronto (2006) Research Interests: Dr. Quon applies computational approaches to genetics and genomics problems, focusing on the genetics of human disease , models of cell population dynamics , and neurogenomics . His lab builds neural network models to understand how genetic variation affects disease risk through molecular and cellular phenotypes, with applications to obesity, Alzheimer’s disease, psychiatric disorders, and Rett syndrome. Recent Research Trends: Recent publications highlight work in neuroplasticity , single-cell multimodal analysis , brain evolution , morphological variation modeling , and microbiome-based classification . His team combines sequencing and imaging technologies to model cellular interactions and gene expression dynamics. Scientific Awards: NIH New Innovator Award (2021) Grants & Collaborations: He received NSF funding (2019) for computational tools in single-cell analysis and collaborates across disciplines, including neuroscience, biomedical engineering, and computational biology. His lab develops software like scProjection , siVAE , and scAlign .

Kushal Deyمشاهده پروفایل

استادیار

• Statistical Genetics
• Machine Learning in Genomics
• Functional Genomics
• +۵ مورد دیگر

Kushal Dey serves as an Assistant Professor in the Computational and Systems Biology Program at Memorial Sloan Kettering Cancer Center (MSKCC), part of the Graduate School of Medical Sciences in partnership with Weill Cornell Medicine. His research integrates statistical and machine learning approaches with genomic data to understand the regulatory architecture of complex diseases. Dr. Dey's research focuses on developing computational methods that integrate human disease genetics with functional genomics data. His work spans immune-related diseases including Alzheimer's and inflammatory bowel disease, as well as heritable cancers like breast and prostate cancer. His lab develops models to prioritize variants, genes, and cell states for disease using genetic, genomic, and perturbation data, with emphasis on causal directed graphs and benchmarking pipelines informed by disease genetics. His recent publications highlight expertise in GWAS, colocalization, spatial transcriptomics, Perturb-seq, and RNA+ATAC multiome analysis. His work frequently appears in top journals like Nature Genetics, with a focus on single-cell multi-omics approaches to understand disease mechanisms at cellular resolution. Scientific Awards: Josie Robertson Investigator (2023–2028) K99/R00 Pathway to Independence Award (NIH/NHGRI) (2022–2026) NIH/NHGRI Early Stage Investigator R01 (2025-2030) NCI P30 CCSG supplement – 'LLMs in cancer research' (2023-2024) Catalog Working Group Co-chair + Disease Focus Group Lead: IGVF consortium (2023-) Dr. Dey mentors several graduate students through the Weill Cornell Graduate School (WGS), including Thahmina Ali, Pretty Garcia, Karthik Guruvayurappan, Louis Liu, Sarthak Tiwari, Berk Turhan, and Harry Zhang. His lab has received multiple grants including the AWS IMAGINE Grant Children's Health Innovation Award 2024-2025 (as Project Co-lead) and PSRP Developmental Funds Awards (2025: Co-lead). The lab actively collaborates with consortia including ENCODE, ADSP, MorPhiC, and IGVF, maintaining strong ties with Columbia University, Stanford University, and Harvard T.H.Chan School of Public Health. The Kushal Dey Lab is part of the vibrant Tri-Institutional Research campus adjacent to Rockefeller University and Weill Cornell Medical College, offering a collaborative environment focused on computational genomics and disease mechanisms.

• Evolutionary Ecology
• Phenotypic Plasticity
• Local Adaptation
• +۱۲ مورد دیگر

Anssi Laurila is a Professor in the Department of Ecology and Genetics, specializing in Animal Ecology at Uppsala University, Sweden. His research integrates evolutionary biology and ecology to explore the mechanisms underlying phenotypic and genetic variation in natural populations, particularly amphibians. His primary research interests include phenotypic plasticity , local adaptation , maternal effects , life-history evolution , and genomic responses to environmental gradients such as latitude, temperature, acidity, and predation. He investigates how populations adapt to heterogeneous environments through both plastic and genetic mechanisms, often using comparative studies across latitudinal clines and contrasting habitats. His work frequently focuses on amphibians like Rana temporaria , Rana arvalis , and Bufo bufo , as well as other ectotherms including freshwater snails and fish. The trends in his recent publications (2020–2025) show a strong emphasis on genomic and transcriptomic analyses of adaptation, host-pathogen interactions (especially with Batrachochytrium dendrobatidis ), immunogenetics (MHC diversity), conservation genetics of edge populations, and acclimation physiology . His studies often combine field observations with controlled experiments and molecular techniques, contributing to understanding evolutionary responses to climate change and anthropogenic stressors. No scientific awards are explicitly mentioned in the provided text. Dr. Laurila actively collaborates with researchers across Europe and supervises or co-supervises numerous studies, as evidenced by his consistent presence as a senior or corresponding author. While specific grant details are not listed, his extensive publication record in high-impact journals suggests sustained funding for research in evolutionary ecology and conservation. His work has implications for biodiversity conservation, particularly in the context of climate change and emerging infectious diseases. He is involved in research on amphibian microbiomes, thermal adaptation in geothermal systems, and the genetic basis of adaptive traits. His team explores how environmental stressors shape phenotypic and genetic variation, with a focus on understanding the limits and costs of plasticity and adaptation.

Guanghao Qiمشاهده پروفایل

استادیار

• Statistical Genetics
• Genomics
• Single-cell RNA Sequencing Analysis
• +۳ مورد دیگر

Guanghao Qi is an Assistant Professor in the Department of Biostatistics at the University of Washington. His research focuses on developing statistical and machine learning methods for multi-omics approaches in genetic studies, particularly integrating single-cell RNA-seq, GWAS, and functional genomic data. Key areas include single-cell eQTL analysis, Mendelian randomization, and multi-trait genetic association analyses. Education: PhD in Biostatistics from Johns Hopkins Bloomberg School of Public Health (2020), BS in Mathematics from Fudan University (2015). Research interests emphasize high-dimensional data analysis, allele-specific expression in single cells, and causal inference using genetic variants. Notable achievements include a 2025 NIH K01 award for developing methods to integrate single-cell eQTL and GWAS data, and the development of the TWiST method for single-cell transcriptome-wide association studies. Recent work highlights advancements in computational tools like SURGE for context-specific genetic regulation analysis, and evaluations of Mendelian randomization methods in studies of type 2 diabetes and cardiovascular disease. His work often bridges computational biology and statistical theory to address challenges in interpreting large-scale genomic datasets. Awards: NIH K01 Award (2025) Key Contributions: TWiST method (2025), SURGE framework (2024), HIPO power optimization (2018) Labs/Teams: Active collaborations in genomic epidemiology and statistical genetics, with a focus on single-cell multi-omics integration and causal inference methodologies.

• Political Communication
• Interpersonal Communication
• Social Networks
• +۳ مورد دیگر

Dr. William "Chip" Eveland is a Professor of Communication at The Ohio State University with a courtesy appointment in the Department of Political Science. His expertise spans political communication, interpersonal communication, and social networks. He teaches courses in communication theory, political communication, public opinion, and research methods. His research focuses on how interpersonal and technologically-mediated political discussions influence democratic engagement, with an emphasis on political knowledge and participation. Dr. Eveland is affiliated with the Mershon Center for International Security Studies and the Innovation Group in Complexity at OSU. Dr. Eveland holds a Ph.D. from the University of Wisconsin-Madison and B.A./M.A. degrees from the University of Delaware. His work integrates interdisciplinary approaches to study political networks, media effects, and civic education. Recent studies examine cross-racial/partisan dialogue, listening behaviors in political conversations, and the structure of political networks across nations. His research trends highlight the role of social networks in political learning, the challenges of discussing race and partisanship, and the interplay between media consumption and ideological worldviews. He collaborates on large-scale projects like the Comparative National Elections Project, emphasizing comparative analyses of political systems. Dr. Eveland actively contributes to academic communities, such as chairing the Southern Political Science Association's "Media and Politics" section. Though no specific awards are listed, his extensive publication record and interdisciplinary collaborations underscore his scholarly impact. His work bridges communication theory and political science, addressing contemporary challenges in democratic discourse.

• Plant Biochemistry
• Specialized Metabolism
• Solanaceae Family
• +۴ مورد دیگر

Cornelius Barry is an Associate Professor in the Department of Horticulture at Michigan State University, with affiliations to the Plant Breeding, Genetics and Biotechnology program, AgBioResearch, and the Molecular Plant Sciences Graduate Program. He joined MSU in July 2007 with a 75% research and 25% teaching appointment. Education: PhD and BSc from the University of Nottingham and University College of Wales Current roles: Director of NSF REU Site: Plant Genomics @ MSU His research focuses on the evolution of biochemical diversity within the Solanaceae family , particularly specialized metabolites like terpenoids, flavonoids, and alkaloids. He investigates their roles in plant defense, pollinator attraction, and human applications through genomics, metabolite profiling, and synthetic biology. Recent publications show expertise in alkaloid biosynthesis , trichome chemistry , and metabolic pathway engineering . Key collaborations include teams at Boyce Thompson Institute, Texas A&M, and University of Nottingham. He advises graduate students in Genetics , Biochemistry & Molecular Biology , and Molecular Plant Sciences programs.

Romdhane Rekayaمشاهده پروفایل

استاد

• Animal Breeding and Genetics
• Quantitative Genetics
• Genomics
• +۴ مورد دیگر

Romdhane Rekaya serves as a Professor in the Department of Animal and Dairy Science within the College of Agricultural & Environmental Sciences at the University of Georgia. He also holds courtesy faculty positions in the Department of Statistics and is an associate faculty member with the Institute of Bioinformatics at UGA. His research program focuses on developing statistical and computational tools for analyzing large genetic and genomic datasets with applications in livestock, poultry, and human health. Dr. Rekaya's educational background includes: Agriculture Engineer from the High Institute of Agriculture, Tunisia Master of Science from the International Center for Advanced Studies in Mediterranean Agriculture of Zaragoza, Spain Ph.D. from the Polytechnic University of Madrid, Spain Dr. Rekaya's research interests span quantitative genetics, genomics, biostatistics, and bioinformatics. His work centers on developing statistical and computational methodologies for analyzing big genetic and genomic data sets with practical applications in livestock, poultry, and human health. His research has been particularly focused on addressing critical challenges in animal agriculture including horn fly resistance in beef cattle, water utilization efficiency in poultry, and greenhouse gas emissions in dairy production. His methodological approaches often integrate machine learning, Bayesian statistics, and genomic technologies to solve complex biological problems. Dr. Rekaya's publication record demonstrates a consistent focus on statistical methodology development for genetic analysis, with recent work increasingly emphasizing practical applications of genomic technologies in animal agriculture. His research spans both theoretical statistical development and practical implementation in livestock improvement programs, with particular emphasis on innovative approaches to traditional breeding challenges. Among his professional recognitions: Student Career Success Influencer Award 2024 Mini-Sabbatical Award Student Career Success Influencer Award 2022 Carnegie fellowship Carnegie African Diaspora Fellow Faculty with significant positive impact of at least one graduate student Gamma Sigma Delta outstanding Research Achievements Award Dr. Rekaya has successfully mentored numerous graduate students including PhD candidates Amanda Warner, Mahsa Zare, Koushik Das, and Evan Hartono, along with undergraduate researchers. His research has been consistently supported by major funding agencies including USDA NIFA, USDA ARS, Georgia Agricultural Commodity Commission for Beef, National Academy of Sciences, and industry partners including Tyson Foods and Cobb-Vantress. Current projects include developing genetic solutions to the horn fly problem in beef cattle, improving water utilization efficiency in poultry, and examining associations between greenhouse gas emissions and feed efficiency in dairy cattle. Dr. Rekaya leads an active research laboratory that collaborates with multiple departments and institutions. His lab focuses on applying advanced statistical and computational methods to solve pressing problems in animal agriculture, with particular emphasis on integrating genomic information into practical breeding programs. The lab maintains strong industry connections and international collaborations, particularly with researchers in Africa through the African Animal Breeding Network.

• Arthropod Ecology
• Biodiversity Conservation
• Ecosystem Function
• +۵ مورد دیگر

Carol Frost, PhD, is an Assistant Professor in the Department of Renewable Resources at the University of Alberta's Faculty of Agricultural, Life and Environmental Sciences. Her research focuses on arthropod community ecology, particularly biodiversity conservation and the impacts of human activities on ecological functions. She holds a PhD in Ecology from the University of Canterbury (2014), an MSc in Entomology from McGill University (2009), and a BSc in Animal Biology from the University of Alberta (2006). Her work spans three key areas: (1) identifying low-cost industrial/urban modifications for biodiversity conservation, (2) advancing ecological network approaches to predict community dynamics, and (3) documenting Alberta's arthropod biodiversity. Recent studies include analyzing pollinator networks, habitat edge effects, and agricultural landscape impacts on hoverflies and canola crops. Frost teaches courses such as Principles of Managing Natural Diversity (REN R 364/765), Exploratory Data Analysis (REN R 581), and Statistical Methods for Environmental Sciences (REN R 582). Her research outputs emphasize ecosystem resilience, keystone species roles, and multitrophic interactions, with a focus on applied conservation solutions.

• Zoology
• Tardigrade Biology
• Anhydrobiosis
• +۴ مورد دیگر

Lorena REBECCHI is a Full Professor in the Department of Life Sciences at the University of Modena and Reggio Emilia. Her research focuses on tardigrade biology, particularly their survival mechanisms under extreme conditions such as desiccation, temperature extremes, and radiation. She explores phylogenetic relationships, symbiotic microbiota, and evolutionary adaptations of these organisms. REBECCHI's work integrates morphological, molecular, and physiological approaches, contributing to understanding anhydrobiosis, stress responses, and tardigrade ecology. Key research areas include tardigrade phylogeny (e.g., resolving their position within Panarthropoda), environmental adaptations (e.g., thermal tolerance and acid resistance), and astrobiology applications (e.g., space flight experiments). She has described multiple new species and revised taxonomic classifications within Tardigrada. REBECCHI collaborates internationally, evidenced by conferences like the 2024 IADCI meeting hosted at her institution. Publications emphasize comparative transcriptomics, symbiont evolution, and the structural basis of tardigrade feeding mechanisms. Her lab's work on Antarctic tardigrades highlights climate change impacts and genetic diversity. REBECCHI's research has practical applications in biotechnology (e.g., space food systems) and environmental monitoring.

Jessica Forrestمشاهده پروفایل

دانشیار

• Evolutionary ecology
• Pollination
• Climate change
• +۵ مورد دیگر

Jessica Forrest is an Associate Professor in the Department of Biology at the University of Ottawa, affiliated with the Faculty of Science. Her research focuses on evolutionary ecology, particularly plant-pollinator interactions, climate change impacts on pollinators, and the ecological consequences of phenological shifts. She studies native bees, their interactions with plants, and how agricultural practices can benefit from native bee ecology. Her work spans field studies in natural and agricultural landscapes, emphasizing pollinator conservation and climate adaptation. Notable projects include investigations into bee nesting habitat enhancement in orchards, the effects of drought on alpine bees, and the role of floral traits in pollinator attraction. Research Themes: Pollination ecology, climate change biology, bee behavior, and agricultural sustainability. Labs/Teams: Leads the Forrest Lab at the University of Ottawa, involving graduate and undergraduate students in field and lab-based studies. Her recent work highlights the importance of Asteraceae pollen in protecting mason bees from brood parasites and the complex effects of temperature on bee reproductive success in high-elevation habitats. Students advised include Lydia, Michelle, Natasha, Roisin, Tovah, and others, with projects ranging from bee cognition to agricultural pollination systems. The Forrest Lab collaborates widely, addressing applied and theoretical questions in pollinator ecology.

• Genetics
• Biometry
• Public Health
• +۷ مورد دیگر

Samuli Ripatti is a Professor of Biometry at the Faculty of Medicine, University of Helsinki, and Director of the Institute for Molecular Medicine Finland (FIMM). He chairs the Research Council Finland’s Centre of Excellence in Complex Disease Genetics and the EU H2020-funded Intervene Consortium. His research focuses on genetic variation in the Finnish population, particularly its effects on cardiometabolic diseases and cancers, with a strong emphasis on polygenic risk scores for disease prevention and early detection. His work spans Genetic risk prediction models Lipidomic and metabolomic profiling Gene-environment interactions Translational genomics Recent research highlights include 1099 plasma metabolite-disease causal analysis Genetic determinants of weight loss interventions Cardiovascular risk stratification tools Leukocyte lipid metabolism pathways He actively supervises doctoral programs in Integrative Life Science, Social Sciences, Clinical Research, and Population Health, and collaborates with the Broad Institute of MIT and Harvard.

Dorret I. Boomsmaمشاهده پروفایل

استاد

• Behavioral Genetics
• Twin Studies
• Quantitative Genetics
• +۷ مورد دیگر

Dorret I. Boomsma is a Full Professor of Biological Psychology at the Free University of Amsterdam and the Free University Medical Centre, Amsterdam, where she has served as Head of Department since 1998. She has built a substantial research group of over 40 people, largely funded through competitive grants and awards received over the past two decades. Her educational background includes a BA in Psychology (cum laude, 1979), MA in Psychophysiology (cum laude, 1983), and a PhD in Quantitative Genetics (cum laude, 1992), all from the Free University of Amsterdam. She also earned an MA in Biological Psychology and Behavior Genetics from the University of Colorado. Professor Boomsma's research focuses on the genetic and biological basis of individual differences in normal and abnormal behavior, health, and cognition. Her work explores etiological pathways to complex behavioral and neuropsychiatric traits and common diseases, with particular emphasis on twin studies and large-scale longitudinal genetic-epidemiological research through the Netherlands Twin Register (NTR). She has made significant contributions to understanding the genetics of twinning and has conducted extensive genetic linkage, association, and expression studies through the NTR Biobank project. Her publication record reflects a strong focus on genetic epidemiology, with numerous high-impact papers in prestigious journals. Her work spans diverse areas including ADHD, migraine genetics, brain development, smoking behavior, and the genetic architecture of complex traits. She has published over 730 papers with more than 19,000 citations, demonstrating the significant impact of her research in the field of behavioral genetics. Her scientific achievements have been recognized with numerous prestigious awards: Spinoza Premium (2002) - the highest scientific award in the Netherlands ERC Advanced Grant (2008) Hendrik Muller Award (2009) from the Royal Netherlands Academy of Arts and Sciences KNAW Merian Prize (2011) NARSAD established investigator award (2011) James Shield Award (2002) from the International Society for the Study of Twins Membership in the Royal Netherlands Academy of Sciences (KNAW) (2001) Professor Boomsma has demonstrated exceptional ability in securing research funding, which has allowed her to grow her research team from 12 members in 1998 to over 40 members by 2009. Her group attracts outstanding PhD students, postdoctoral researchers, and professional colleagues. She is also committed to public outreach, ensuring that the results of her scientific work reach beyond academic circles. She directs the Netherlands Twin Register Biobank, a significant resource for genetic epidemiological studies that has enabled numerous genome-wide association studies and other genetic research. Her work with the NTR has established it as one of the world's leading twin registries.

• Soil Biogeochemistry
• Carbon Cycling
• Mineral-Soil Interactions
• +۳ مورد دیگر

Dr. Marion Schrumpf is a Group Leader in the Soil Biogeochemistry research group at the Max Planck Institute for Biogeochemistry, affiliated with the Department of Biogeochemical Processes. Her work focuses on soil carbon dynamics, mineral-organic matter interactions, and climate change impacts on soil systems. Research areas: Soil biogeochemistry, carbon cycling, mineral-soil interactions, nutrient stoichiometry, microbial ecology, and climate modeling. Email: mschrumpf@... Phone: +49 3641 57-6182 Office: B2.015 Her recent publications address themes like mineral control over soil carbon stabilization, drought effects on soil processes, microbial stoichiometric adaptation, and the Jena Soil Model's role in simulating carbon-nutrient interactions. She leads efforts to disentangle the complex relationships between land use, mineralogy, and soil organic matter turnover across diverse ecosystems.

Noa Pinter-Wollmanمشاهده پروفایل

استاد

• Collective animal behavior
• Social network analysis
• Behavioral ecology
• +۳ مورد دیگر

Noa Pinter-Wollman is a Professor in the Department of Ecology and Evolutionary Biology at the University of California, Los Angeles, within the College of Life Sciences . Her work integrates field experiments, laboratory assays, computational modeling, and social network analysis to understand how individual variation among animals translates into emergent collective behavior, and how these dynamics intersect with conservation challenges. Research Focus: Mechanisms underlying collective decision-making in social insects (especially Argentine ants and harvester ants) Social network structure and its ecological consequences in endangered griffon vultures Interface between spatial ecology and social behavior, including impacts on disease transmission and conservation management Biomimetic insights from social animals to inform resilient human-designed systems Across 2023–2025, her team has produced a steady stream of high-impact articles that collectively advance four thematic pillars: (1) microbiome–behavior feedbacks in ants, (2) conservation technology for scavengers, (3) network-analytic methods for disentangling spatial versus social drivers of interaction, and (4) cooperative strategies that underlie invasion success in ants. The work is notable for integrating high-resolution tracking technologies with rigorous statistical modeling. Funding & Collaborations: Current NSF awards include the collaborative grant “ The causes and consequences of Higher Order Interactions (HOI) ” and prior support for “ Uncovering how links between social and spatial interactions affect ecological processes .” These grants foster interdisciplinary partnerships spanning ecology, computer science, and conservation practice. Laboratory & Team: The Pinter-Wollman Lab at UCLA houses graduate researchers, post-docs, and undergraduates who conduct integrative studies on ants, paper wasps, spiders, and vultures. The lab website ( https://pinter-wollmanlab.weebly.com ) provides protocols, data resources, and outreach materials that translate basic findings into actionable conservation guidance for wildlife managers.