جست‌وجوی استاد و پژوهشگر

• Evolutionary Genetics
• Microbial Genomics
• Genomic Epidemiology
• +۷ مورد دیگر

Fernando Gonzalez Candelas is a Professor in the Department of Genetics at the Faculty of Biological Sciences, Universitat de València, Spain. He leads the EVOSALUD research group (Evolution and Health: Experimental evolution and epidemiology), hosted within the Institute for Biological Systems Integration (I2SYSBIO). His work bridges evolutionary biology, genomics, and public health, focusing on microbial pathogens and their transmission dynamics. His research interests lie at the intersection of evolutionary genetics , genomic epidemiology , and infectious disease dynamics . He investigates the genetic basis of virulence, antimicrobial resistance, and host adaptation in pathogens such as SARS-CoV-2, Treponema pallidum , Klebsiella pneumoniae , and Candida auris . His group applies high-throughput sequencing, phylogenetics, and bioinformatics to understand short- and long-term pathogen evolution. The recent publications highlight a strong focus on real-time genomic surveillance of emerging pathogens, particularly during the COVID-19 pandemic. His work spans from technical improvements in sequencing and analysis (e.g., deletion repair, genotyping discrepancies) to large-scale epidemiological inference (e.g., transmission patterns, recombination, resistance evolution). A recurring theme is the use of both modern and ancient genomes to reconstruct the evolutionary history of pathogens. His scientific contributions are recognized through active participation in national and international research consortia such as RELECOV and SeqCOVID-Spain. He has contributed significantly to understanding the first wave of the pandemic in Spain and the evolution of SARS-CoV-2 variants. He earned his PhD from the Universitat de València in 1988 with a thesis on larval competition in Drosophila , indicating a long-standing interest in evolutionary processes. While no formal awards are listed in the provided text, his leadership in high-impact research and sustained publication record suggest significant recognition in his field. Fernando Gonzalez Candelas advises students and leads a research team focused on pathogen genomics. His lab, EVOSALUD, is actively involved in projects related to wastewater monitoring, nosocomial outbreaks, and the development of tools like VIPERA for viral intra-patient evolution analysis. The group’s work has direct implications for public health policy and clinical microbiology.

Klemens Fellnerمشاهده پروفایل

استاد

• Partial Differential Equations
• Reaction-Diffusion Systems
• Kinetic Equations
• +۶ مورد دیگر

Klemens Fellner is a Professor of Mathematics/Computational Sciences and Group Leader of the Applied Analysis Group at the Institute of Mathematics and Scientific Computing, University of Graz. His research focuses on the analysis of partial differential equations and mathematical modeling across physics, chemistry, and biology. Research Interests: Prof. Fellner's work spans theoretical analysis of nonlinear PDEs (reaction-diffusion, kinetic, and non-local equations) using entropy/duality methods, with applications to: Biological systems (lipolysis, protein localization, stem-cell division) Physical processes (organic photovoltaics, semiconductor modeling) Collective behavior (swarming micro-organisms, aggregation dynamics) Interdisciplinary Mathematics-Arts collaborations Publication Trends: His recent articles (2018-2021) demonstrate strong focus on: Global existence and regularity for reaction-diffusion systems Convergence to equilibrium via entropy methods Drift-diffusion models in semiconductor physics Mathematical biology applications (prion dynamics, lipolysis) Novel approaches for non-local aggregation and hysteresis phenomena Research Leadership: Currently leads the Applied Analysis Group with members including postdocs and PhD students. Key projects: Doctoral School IGDK (International Graduate School) SFB Lipid Hydrolysis (Special Research Program) Mathematics and Arts collaborations Colibri research platform Supervises PhD candidate Reymart Lagunero studying generalized reaction-diffusion systems.

Rachel Oliverمشاهده پروفایل

استاد

• Gallium Nitride
• Quantum Technology
• Materials Science
• +۵ مورد دیگر

Rachel Oliver is a Professor of Materials Science at the University of Cambridge and Director of the Cambridge Centre for Gallium Nitride. Her research focuses on characterisation techniques for gallium nitride materials used in LEDs and laser diodes, with an emphasis on nanostructure engineering and quantum technology. Awarded OBE (2025), Fellow of the Royal Academy of Engineering (FREng) (2021), and Fellow of the Institute of Materials, Minerals and Mining (FIMMM) (2019) Developed atom-probe tomography and scanning capacitance microscopy to study nitride devices Her work on quantum dots and single-photon emitters has advanced quantum crystallography and optoelectronics. Recent publications highlight trends in nitride semiconductors , solar cell efficiency , and quantum device fabrication . Scientific Awards Royal Society University Research Fellowship (2006-2011) Chair in Emerging Technologies (2023) Grants EPSRC grant for semi-polar nitride structures Oliver's lab at the Department of Materials Science and Metallurgy explores nanoscale nitride structures for future devices, while advocating for gender equality in STEM.

Daniel Hawigerمشاهده پروفایل

استاد

• Dendritic Cell Biology
• T Cell Immunology
• Immunomodulation
• +۵ مورد دیگر

Daniel Hawiger is a Professor at the School of Medicine , Saint Louis University , specializing in the Department of Molecular Microbiology and Immunology . With a career spanning both clinical and basic science research, he has made seminal contributions to immunology through his work on dendritic cells, T cells, and immunomodulation strategies.

• Molecular Virology
• RNA Biology
• Plant Biotechnology
• +۵ مورد دیگر

Prof. Dr. Sven-Erik Behrens serves as a Professor in the Department of Microbial Biotechnology at the Faculty of Natural Sciences I of Martin Luther University Halle-Wittenberg. He is affiliated with the Protein Research Center 'Charles Tanford' and maintains an active research program focused on RNA biology, molecular virology, and biotechnological applications. His primary research interests encompass RNA-based plant protection strategies, viral replication mechanisms (particularly for flaviviruses and plant viruses), and innovative vaccine development using Kluyveromyces lactis yeast expression systems. Behrens' work investigates fundamental RNA-protein interactions, RNA chaperone activities, and the molecular basis of antiviral defense mechanisms in plants. His laboratory explores how RNA accessibility influences viral replication and how this knowledge can be harnessed for developing novel RNA-based antiviral strategies. Analysis of his recent publications (2021-2025) reveals a clear research trajectory focused on identifying accessible RNA sites for targeted antiviral applications, optimizing yeast-based vaccine platforms for both plant and animal pathogens, and investigating the role of non-coding RNAs in plant development and stress responses. His work spans multiple disciplines including plant virology, medical virology, and microbial biotechnology, demonstrating translational research from basic molecular mechanisms to practical applications. Prof. Behrens leads research in the Department of Microbial Biotechnology, collaborating with various groups working on plant-pathogen interactions and vaccine development. His laboratory employs advanced techniques including RNA structure probing, fluorescence-based assays for RNA chaperone activity, and plant in vitro systems for studying viral replication. The research demonstrates significant potential for developing novel approaches to combat viral diseases in both agricultural and medical contexts.

Andrea Giomettoمشاهده پروفایل

استادیار

• Evolutionary Biology
• Stochastic and Dynamical Systems in Biology
• Theoretical Population Biology
• +۳ مورد دیگر

Andrea Giometto is an Assistant Professor in the School of Civil and Environmental Engineering at Cornell University, part of the College of Engineering. He holds affiliations with Applied Mathematics, Biological and Environmental Engineering, and Microbiology. His research focuses on spatial growth of microbial communities, integrating statistical physics, experiments, and genetic engineering to study ecological and evolutionary processes in spatially extended systems. Education: Ph.D. in Environmental Engineering (EPFL, 2015), M.Sc. and B.Sc. in Physics (University of Padova). Postdoctoral research at Harvard University, supported by Swiss National Science Foundation fellowships. Visiting scientist at Imperial College London and Eawag, Switzerland. Research interests include microbial population dynamics, resource competition, and scaling patterns in ecosystems. Key methods involve microfluidics, evolutionary experiments, and mathematical modeling. Recent work explores how physical interactions and environmental factors shape microbial behavior and community structure. Awards: Earth Science Award (EPFL, 2016), Swiss National Science Foundation Postdoc Fellowships (2016–2018). Grants: Funded by Swiss National Science Foundation and Cornell Engineering. Labs/Teams: Leads research in microbial systems biology and evolutionary ecology at Cornell, collaborating with interdisciplinary teams in biophysics and environmental engineering.

Darren Irwinمشاهده پروفایل

استاد

• Speciation
• Hybrid Zones
• Genomics
• +۶ مورد دیگر

Dr. Darren Irwin is a Professor in the Department of Zoology at the University of British Columbia (UBC), affiliated with the Biodiversity Research Centre. His research focuses on understanding speciation mechanisms, hybrid zones, and the evolutionary processes shaping biodiversity. Central to his work is an integrative approach combining genomic analysis, field observations, and computational modeling. Key research systems include passerine birds (e.g., warblers, woodpeckers) and salamanders, with studies spanning Asia, Europe, North America, and the Pacific Northwest. His lab explores topics such as hybrid zone stability, genomic differentiation patterns, cytonuclear interactions, and migratory behavior evolution. Research Highlights: Analysis of hybrid zones in yellow-rumped warblers, flameback woodpeckers, and other avian species. Development of the Hybrid Zone with Assortative Mating (HZAM) simulation tool in Julia. Discovery of cryptic species, such as the Pacific wren, now recognized taxonomically. Investigation of migratory divide genetics in Swainson’s thrushes and Wilson’s warblers. Publications emphasize genomic approaches to study speciation, with recent work on three-way hybrid zones in Sri Lankan flamebacks and Z-chromosome-driven plumage divergence in yellowhammers. His lab actively trains graduate students and postdocs, fostering interdisciplinary research in evolutionary biology.

Deyu Liمشاهده پروفایل

استادیار

• Digital Transitions
• Green Technologies
• Labour Market Analysis
• +۳ مورد دیگر

Dr. Deyu Li is an Assistant Professor in Geography of Digital Transitions at Utrecht University's Department of Human Geography and Spatial Planning, part of the Faculty of Geosciences. He holds an affiliation with the University of Cambridge Centre for Environment, Energy and Natural Resource Governance (CEENRG). His PhD in Innovation Studies from Utrecht University (2020) underpins his interdisciplinary research on complex social-technical transitions. Key research themes include digital/green technology diffusion, labor market impacts of innovation, and policy mixes for sustainable transitions. He leads the Horizon Europe ST4TE project on equitable twin transitions and contributed to the EU PILLARS project analyzing automation's global value chain effects. Prior to Utrecht, he conducted postdoctoral research at CEENRG on wind energy innovation and energy technology spillovers funded by ESRC-NSF and Sloan Foundation grants. His work spans 15+ peer-reviewed articles (2016–2025), focusing on regional development, renewable energy adoption, and policy effectiveness. He emphasizes systemic approaches to sustainability challenges, bridging micro-level innovation dynamics with macro-level societal transformations.

Daniel Weissmanمشاهده پروفایل

استادیار

• Population Biology
• Ecology
• Evolution
• +۵ مورد دیگر

Daniel Weissman is an Assistant Professor at Emory University with a primary appointment in the Department of Physics and an associated faculty position in Biology. He is affiliated with the Program in Population Biology, Ecology, and Evolution and leads the Weissman Lab focused on theoretical approaches to evolutionary biology. Ph.D., Stanford University, 2010 BA, Harvard University, 2005 Weissman's research bridges theoretical physics and evolutionary biology, developing mathematical models to predict evolutionary outcomes. His work spans population genetics, spatial structure in populations, pathogen evolution, and genomic data inference. A central goal is to develop frameworks that translate genetic sequencing data into evolutionary predictions, with applications from antibiotic resistance to viral evolution. His research particularly investigates how functional and statistical interactions among genes affect evolution, the role of spatial structure in adaptation, and inferring microbial population dynamics. Analysis of Weissman's publication record from 2017-2024 reveals a progression from fundamental theoretical questions about adaptation and spatial structure toward more applied questions in infectious disease dynamics. His work consistently explores how spatial structure, recombination, and population heterogeneity influence evolutionary processes, with increasing attention to SARS-CoV-2 and bacterial pathogens like Staphylococcus aureus and Plasmodium falciparum. A notable theme is the investigation of how synchronized dispersal and sexual reproduction affect adaptation rates in structured populations. Weissman leads the Weissman Lab, located in the Math & Science Center N244 at Emory University. The lab focuses on building and analyzing models of biological populations to predict their future evolution, with particular emphasis on developing theoretical frameworks that can translate genomic data into evolutionary predictions. His research has received funding from the National Science Foundation, Simons Foundation, and Alfred P. Sloan Foundation.

Elisabeth Campمشاهده پروفایل

استاد

• Philosophy of Language
• Philosophy of Mind
• Aesthetics
• +۵ مورد دیگر

Elisabeth Camp is a Professor in the Department of Philosophy at Rutgers University. She holds a PhD from UC Berkeley and previously taught at the University of Pennsylvania before joining Rutgers in 2013. Her work bridges philosophy of language, philosophy of mind, and aesthetics. Education: BA: University of Michigan PhD: University of California, Berkeley Postdoctoral Fellow: Harvard Society of Fellows (2003-2006) Research Interests: Her work investigates non-propositional thought and speech, focusing on: Metaphor and figurative language Loaded terms (e.g., slurs) Cognitive perspectives and emotional frames Non-sentential representation (maps/diagrams) Semantic-pragmatic boundaries Antagonistic conversation dynamics Scientific Awards: ACLS Fellowship (2020) NEH Fellowship (2019) Rutgers Board of Trustees Research Fellowship (2018) Key Article Trends: Recent publications explore metaphorical cognition, visual-verbal representation differences, and ethical implications of non-literal communication. Her 2017 work on Trumpian language became a reference in political discourse analysis.

• Experimental astroparticle physics
• Dark matter detection
• WIMP detection
• +۴ مورد دیگر

Matthew Szydagis is an Associate Professor in the Department of Physics at the University at Albany, State University of New York, where he conducts cutting-edge research in experimental astroparticle physics with a focus on dark matter detection. Education: PhD, University of Chicago, 2010 Postdoctoral Associate, University of California Davis, 2010-2014 Dr. Szydagis leads research efforts centered around the LZ (LUX-ZEPLIN) Dark Matter Experiment, the world's largest direct dark matter search project operating at the Sanford Underground Research Facility. His expertise lies in the physics of two-phase Xenon time-projection chambers and the development of sophisticated Monte Carlo simulation techniques to understand detector responses. In 2011, he created the NEST (Noble Element Simulation Technique) software package, which has become an essential tool for the broader scientific community working with noble element detectors. His research spans multiple disciplines including particle physics, astrophysics, and computational physics, with applications extending beyond dark matter research into neutrino physics and medical physics. Dr. Szydagis is an active member of the international LZ collaboration and leads the Dark Matter Research Group at the University at Albany. His work contributes significantly to establishing the world's most sensitive limits on dark matter interactions across a wide range of particle masses.

Karoline Disserمشاهده پروفایل

استاد

• Applied Analysis
• Theory of PDEs
• Mathematical Fluid Dynamics
• +۶ مورد دیگر

Prof. Dr. Karoline Disser is a Professor of Analysis at the Institute of Mathematics, Universität Kassel, within Faculty 10: Mathematics and Natural Sciences. Her research focuses on applied analysis and partial differential equations, particularly in fluid dynamics, fluid-structure interaction, and complex flow systems. She holds a PhD from TU Darmstadt (2009) and habilitation from Humboldt-Universität zu Berlin (2017). Her teaching includes advanced courses in calculus of variations, function spaces, and mathematical fluid dynamics, spanning institutions like TU Darmstadt, HHU Düsseldorf, and TU Berlin. Research interests encompass reaction-diffusion systems, elliptic/parabolic regularity, and variational methods for evolution equations. Recent publications (2016–2022) address fluid-structure interaction, semiconductor equations, and multiscale chemical reaction modeling. Her work emphasizes rigorous mathematical analysis with applications in engineering and geophysical systems. No awards are listed, but her contributions reflect interdisciplinary engagement in applied mathematics and continuum mechanics.

• Plant Biotechnology
• Molecular Biology
• Biochemistry
• +۴ مورد دیگر

Dr. Alexandra Machado Ferreira Castilho is a leading researcher at the Institute of Plant Biotechnology and Cell Biology within the University of Natural Resources and Life Sciences, Vienna (BOKU) . She has served as Principal Investigator since 2018 and previously as Scientific Coordinator of the Laura Bassi Center PlantBioP (2010-2017). Her work focuses on Plant Molecular Farming and Glycoengineering , aiming to optimize plant-based production of therapeutically relevant glycoproteins. Specializes in tailoring N-glycan profiles for biopharmaceuticals Develops plant cell factories for antibody and decoy receptor production Key projects include SARS-CoV-2 neutralization strategies and cancer immunotherapy agents Her recent publications analyze glycoengineering techniques in Nicotiana benthamiana , covering topics like ACE2-Fc decoys for viral neutralization, PD1/PDL1 blockade for oncology, and protease suppression for protein stability. She has received funding from the Austrian Science Fund (FWF) for projects on immune checkpoint inhibitors and glycosylation pathway modulation.

• Immunogenomics
• Antibody Engineering
• Computational Biology
• +۴ مورد دیگر

Yana Safonova is an Assistant Professor in Computer Science and Engineering at the Huck Institutes of the Life Sciences , Pennsylvania State University. Her research bridges computational biology with immunogenomics. Immunoglobulin Gene Analysis Genome Assembly Methodology Antibody Diversity Bioinformatics Tool Development Her research focuses on immunoglobulin genetics , vertebrate genome assembly , and computational immunology . Recent work includes developing tools for IGH locus reconstruction and analyzing germline gene diversity in model organisms. Key publication trends reveal expertise in antibody engineering , genomic immunology , and bioinformatics pipeline development for immunosequencing and genome analysis .

• R-loop Biology
• Epigenetics
• DNA Methylation
• +۴ مورد دیگر

Frédéric Chédin is a Professor in the Department of Molecular and Cellular Biology at the University of California Davis, College of Biological Sciences. He has held continuous faculty positions at UC Davis since 2004, progressing from Assistant Professor (2004-2010) to Associate Professor (2010-2015), and currently serving as full Professor (2015-present). His research focuses on R-loop biology, DNA methylation, and epigenetic regulation. Chédin's laboratory investigates how RNA:DNA hybrids form, persist, and impact genome stability, with particular emphasis on their roles in transcription, chromatin organization, and disease mechanisms. His work has established foundational methodologies for R-loop detection and mapping, including critical assessments of common techniques like the S9.6 antibody. Chédin's publication record demonstrates consistent leadership in R-loop research, with numerous high-impact papers in journals like PNAS , Nature Communications , and Molecular Cell . His recent work explores protein-mediated R-loop stabilization, R-loop classification systems, and connections between R-loops and topological stress management. Director of NIH T32 Predoctoral Training Program in MCB (2020-present) Co-Director of NIH T32 Program (2019-2020) Chair of Integrative Genetics and Genomics (2015-2019) His laboratory trains numerous graduate students and postdoctoral researchers, with frequent collaborators including Stella Hartono and Lionel Sanz appearing as first authors on key publications. Chédin maintains active service roles in graduate education and program leadership at UC Davis.