جست‌وجوی استاد و پژوهشگر

Aaron Comeaultمشاهده پروفایل

مدرس

• Evolution
• Genomics
• Adaptation
• +۷ مورد دیگر

Aaron Comeault is a Lecturer in Biological Sciences at the School of Natural Sciences, Bangor University, where he conducts research in evolutionary biology, genomics, and adaptation. He is affiliated with the Molecular Ecology and Evolution research group and leads a lab focused on understanding evolutionary processes in natural populations using drosophilid flies, amphibians, and their microbial symbionts. Research Interests: His work spans several key areas in evolutionary biology, including speciation, adaptation, host-microbe interactions, and ecological genomics. He uses a combination of experimental evolution, population sampling, and high-throughput genomic techniques to study how organisms evolve under environmental pressures, particularly in invasive species and hybrid zones. His lab investigates both broad-scale evolutionary patterns and fine-scale genetic mechanisms. Publication Trends: His recent publications (2020–2025) reflect a strong focus on comparative and phylogenomic analyses, particularly in Drosophila and amphibians. There is a clear trend toward integrating microbiome data with host genomics, exploring transposable element dynamics, and understanding the predictability of evolutionary outcomes in hybrid and invasive systems. His work frequently appears in top-tier journals such as Nature Communications , PNAS , PLoS Biology , and Current Biology . Scientific Recognition: Fellow of the Higher Education Academy (FHEA), 2022 Advising and Grants: Dr. Comeault supervises postgraduate research and offers projects in amphibian genomics, invasive species, and drosophilid speciation. He has led funded projects such as 'Male-male competition and host range evolution in an herbivorous leaf-footed bug' and 'The role of structural variants in driving genome evolution during biological invasions.' He is active in mentoring students and promoting research opportunities at Bangor University, particularly through the College of Science and Engineering. Research Labs and Teams: He leads the Comeault Lab (comeaultlab.wordpress.com), which is part of the broader Molecular Ecology and Evolution group at Bangor. His research is highly collaborative, involving international teams and consortia, particularly in large-scale genomic initiatives such as the Drosophilidae phylogenomic project. He also participates in community events like the Littorina Research Community Meeting and presents on topics such as diversification in Drosophila and microbial symbionts.

James McDonaldمشاهده پروفایل

عضو هیئت علمی

• Microbial Ecology
• Microbiome Analysis
• Environmental Genomics
• +۱۲ مورد دیگر

James McDonald is an Honorary Professor in the School of Environmental and Natural Sciences at Bangor University, where he leads research in microbial ecology, microbiome analysis, and environmental genomics. His work spans tree health (notably Acute Oak Decline), wastewater pathogen surveillance, and biomass-degrading microbial communities. He has held previous positions as Professor of Environmental Genomics and Senior Lecturer at the same institution. PhD in Microbial Ecology, University of Liverpool BSc in Microbiology with Industrial Experience, University of Manchester His research integrates molecular techniques such as genomics, metagenomics, metatranscriptomics, and metaproteomics to study microbial communities in environmental systems. Key interests include the oak microbiome in health and disease, anaerobic biomass degradation, and engineered microbiomes for biotechnology. He actively supervises postgraduate researchers and welcomes inquiries on these topics. The recent publications reflect a strong focus on environmental microbiology, with themes including wastewater virology (especially SARS-CoV-2 monitoring), forest pathology, microbial diversity in extreme environments, and methodological advances in microbiome profiling. His team frequently employs high-throughput 'omics' technologies and culture-based methods. Adoption of viral environmental surveillance tools to protect public health during the COVID-19 pandemic [REF2021] Professor McDonald has led or contributed to numerous funded research projects, including FUTURE OAK, SYNBIOGAS, and BACSTOP, often in collaboration with government and industrial partners. His work has been instrumental in applying ecological and evolutionary theory to microbiome dynamics. He has also contributed to the development of protocols for pathogen detection in environmental samples and has published in top journals such as Nature , ISME Journal , and Environmental Microbiology . He is affiliated with research initiatives focused on sustainable development and environmental protection, and his lab maintains an active research presence with data shared via platforms like ZENODO.

Stefan C. Kremerمشاهده پروفایل

استاد

• Machine Learning
• Pattern Induction
• Deep Learning
• +۶ مورد دیگر

Stefan C. Kremer is a Professor at the University of Guelph's School of Computer Science, where he has served since 1997. He holds a PhD from the University of Alberta and has led initiatives such as directing the Bioinformatics program (2008-2011) and the School of Computer Science (2011-2016). His research focuses on machine learning, particularly recurrent neural networks and their applications in bioinformatics, ecology, and environmental science. He has pioneered work on transposable elements (TEs) in genomics and developed methods for wildlife monitoring using computer vision. Notable contributions include the President's Distinguished Professor Award (2001-2002) and collaborations on biodiversity analysis and camera trap image processing. Education: Bachelor of Science in Computing and Information Science (University of Guelph), PhD (University of Alberta). Research Interests: Structural pattern recognition, recurrent neural networks, bioinformatics applications (e.g., TEs, DNA analysis), and ecological studies using AI. Key projects include modeling TE activity, wildlife individual re-identification, and computational biology tools for genomic data. Grants & Partnerships: Led projects like the Genome Canada-funded 'Extracting Signal from Noise' (2017-2018). Collaborates with biologists, ecologists, and philosophers to address interdisciplinary challenges. Labs/Teams: Active in cross-disciplinary teams focusing on AI-driven ecological solutions and genomic data analysis.

Stefania Maria Benniciمشاهده پروفایل

استادیار

• Plant Biotechnology
• Genetic Improvement
• Molecular Biology
• +۴ مورد دیگر

Stefania Maria Bennici is a Fixed-term Assistant Professor (RTDA) at the Department of Agriculture, Food and Environment (Di3A) of the University of Catania , Italy, specializing in Arboriculture and Tree Cultivation . She holds a doctoral degree in Agricultural, Food and Environmental Sciences and has conducted collaborative research at institutions like the Institute of Molecular and Cellular Biology of Plants (IBMCP) in Valencia, Spain. PhD in Agricultural, Food and Environmental Sciences (2016-2020) Postdoctoral Fellow at IBMCP (2021) Research Fellow at Di3A (2020-2021) Her research focuses on fruit tree genetics , with emphasis on citrus reproductive biology, marker-assisted selection, genome editing, and stress resistance. She has developed protocols for genetic transformation and molecular characterization of economically important species like pear, grapevine, and almond. Dr. Bennici collaborates internationally and has contributed to studies on gene expression related to flowering and agronomic traits. Her current work involves fixed-term contracts linked to the disciplinary sector AGR/03. Contact: Email: stefania.bennici@unict.it Phone: 095 4783405 Office: Via Santa Sofia 100, room C1/23 Office Hours: Monday 11:00-12:00 | Thursday 12:00-13:00

Chung-Ho Linمشاهده پروفایل

استاد پژوهشی

• Agroforestry
• Biochemistry
• Ecosystems & Environment
• +۱۱ مورد دیگر

Dr. Chung-Ho Lin is a Research Professor at the University of Missouri's School of Natural Resources and leads bioremediation and natural products research programs at the Center for Agroforestry. His work spans environmental science, biochemistry, and human health through plant-microbe-enzyme applications. Ph.D., University of Missouri (2002) Research focuses on bioremediation of pollutants (e.g., pesticides, pharmaceuticals, PFAS), ecological restoration, bioeconomy development, and wastewater-based epidemiology for pathogen tracking. He co-led Missouri's Coronavirus Sewershed Surveillance Project (CDC/NIH-funded, $7.6M) and explores bioactive compounds in black walnut, pawpaw, and spent coffee grounds. Recent publications highlight collaborations in environmental toxicology , wastewater virology , and analytical methods for pollutant detection. His team's inventions have spun off companies like Elemental Enzymes Inc. and Tiger Enzyme Solutions. Senior Member, National Academy of Inventors (2021) Governor’s Award (2020) UM System President’s Award for Economic Development Grants include USDA, NIH, EPA, and international projects (University of Montreal, Louisiana State University). His lab trains graduate researchers in metabolomics, biocatalysis, and sustainable agroforestry practices.

Giulio Ermanno PIBIRIمشاهده پروفایل

دانشیار

• Computer Science
• Bioinformatics
• Algorithms
• +۵ مورد دیگر

Giulio Ermanno PIBIRI is an Associate Professor at the Department of Environmental Sciences, Computer Science and Statistics of Ca' Foscari University of Venice. His primary research focuses on algorithms, data structures, and their applications in bioinformatics, genomics, and information retrieval. He specializes in developing efficient methods for handling large-scale genomic data and optimizing storage and querying of massive datasets. His work includes advancements in minimal perfect hashing, k-mer indexing, and compression techniques for de Bruijn graphs. Key research areas include: Algorithm design for bioinformatics (e.g., sequence analysis, genome assembly) Data compression and indexing (inverted indexes, variable-byte codes) Efficient storage and retrieval of genomic and textual data Secure machine learning (verifiable tree ensembles) Recent publications highlight contributions to: Meta-colored de Bruijn graphs for genomic data representation Efficient k-mer hashing and sampling algorithms Secure and robust machine learning models Teaching includes courses on computer programming and foundational computer science topics for engineering students.

Xavier Didelotمشاهده پروفایل

استاد

• Statistical Epidemiology
• Genomics
• Bacterial Evolution
• +۳ مورد دیگر

Xavier Didelot is a Professor of Statistical Epidemiology and Genomics at the University of Warwick, holding dual affiliations with the School of Life Sciences and the Department of Statistics. He leads the Health Protection Research Unit in Genomics and Enabling Data, funded by the National Institute for Health Research (2020-2025), collaborating with the UK Health Security Agency and others to leverage genomic and epidemiological data for public health. Previously, he held roles at Imperial College London and the University of Oxford. His research focuses on bacterial pathogen evolution and transmission, integrating genomic data with statistical methods. Key areas include phylogenetic analysis, recombination inference, and pathogen spread modeling. He develops open-source tools like TransPhylo for reconstructing transmission trees from genomic data. Didelot’s work bridges statistical theory (Bayesian methods, Monte Carlo techniques) and biological applications (bacterial evolution, epidemiology). He contributes to global health initiatives, such as analyzing Neisseria gonorrhoeae and Clostridioides difficile outbreaks. His academic career includes postdoctoral research at Warwick and Oxford, and his software tools are widely used in microbial genomics.

• Computer Architecture
• High-Performance Computing
• Hardware Transactional Memory
• +۷ مورد دیگر

Adria Armejach Sanosa is a Senior Lecturer in the Department of Computer Architecture at the Faculty of Computer Science of Barcelona (FIB), Universitat Politècnica de Catalunya (UPC). He is also affiliated with the Barcelona Supercomputing Center (BSC-CNS), a leading institution in high-performance computing in Europe. His research spans computer architecture, high-performance computing, memory systems, and hardware acceleration for genomics and machine learning. PhD from UPC His research interests focus on optimizing computer systems for performance and efficiency, particularly in the areas of hardware transactional memory, cache optimization, RISC-V architectures, and acceleration of bioinformatics workloads. He investigates how to improve data movement, prefetching, and parallelism in large-scale heterogeneous systems. His work combines architectural innovations with practical implementations on real-world HPC platforms. The most recent articles reflect a strong trend towards high-performance computing for genomics, sparse data handling, and efficient hardware/software co-design. Topics include genomics benchmarking on ARM processors, tensor marshaling, RTL simulation scalability, and low-precision training for deep neural networks. These works demonstrate a consistent focus on bridging architectural research with real-world applications in science and AI. HiPEAC Paper Award 2024 HiPEAC Paper Award Armejach has advised several doctoral students, including J. Pavón, G. López, and J. Osorio. He has been involved in numerous competitive R&D+i projects such as Digital Autonomy for RISC-V in Europe, Laboratorio Zettaescala de Barcelona, and Genome Analysis Acceleration on HPC Architectures. These projects are often funded by national and European programs, indicating strong recognition and support for his research. He collaborates extensively within the CAP (High-Performance Computing) research group and with key figures like Miquel Moreto, Mateo Valero, and Osman Unsal. He is a member of the CAP research group and contributes to initiatives like the Laboratory for Open Computer Architecture and systems (RISC-V Chip Development) and the Barcelona Zettascale Lab. These labs focus on open hardware, European technology sovereignty, and next-generation supercomputing. His work on Metro-MPI for RTL simulation and hardware accelerators for databases highlights his contributions to both design automation and data-intensive computing.

Ozgur Batumanمشاهده پروفایل

دانشیار

• Citrus Pathology
• Integrated Pest Management (IPM)
• Plant Virology
• +۴ مورد دیگر

Dr. Ozgur Batuman is an Associate Professor of Citrus Pathology at the University of Florida's Southwest Florida Research and Education Center (SWFREC), part of the College of Agricultural and Life Sciences. He joined SWFREC in 2016 after working as a project scientist in Plant Pathology at UC Davis, where he focused on integrated pest management for plant viruses like Tomato spotted wilt virus. His research at SWFREC centers on citrus pathology, specifically understanding and mitigating pathogens threatening Florida's citrus industry. He develops diagnostic tools, IPM strategies, and therapeutic delivery systems to combat diseases such as Huanglongbing (HLB) and Tomato Brown Rugose Fruit Virus (ToBRFV). Education and Professional Experience: Earned graduate training in plant pathology, transitioning from UC Davis to SWFREC. Active in extension programs, authoring numerous Florida Citrus Production Guides and peer-reviewed articles. Collaborates with USDA-ARS and international teams on disease surveillance and control. Research Interests: Citrus disease diagnostics, exotic pathogen management, vector-borne diseases, molecular virology, and sustainable agricultural practices. Specializes in developing practical solutions for growers, including protective covers (IPCs) and trunk-injection therapies. Key Contributions: Authored/co-authored publications on ToBRFV detection, IPC efficacy, and CTV-SP exotic disease preparedness. Leads projects on automation of citrus tree treatments and antibiotic efficacy studies. Advises graduate students like Salih Yilmaz and Susmita Gaire.

Anuliina Putkinenمشاهده پروفایل

پژوهشگر

• Plant Biology
• Ecology
• Forestry
• +۳ مورد دیگر

Anuliina Putkinen is a **Researcher** in the **Department of Agricultural Sciences** at the **University of Helsinki**, affiliated with the **INAR Faculty of Agriculture and Forestry**. Her work focuses on **ecosystem processes**, particularly **environmental soil science**, with an emphasis on methane dynamics in boreal ecosystems and peatlands. She actively participates in EU-funded projects and international research collaborations. In her research, Dr. Putkinen investigates **plant-microbe interactions**, **methane emissions**, and **climate change mitigation strategies** in boreal forests and wetlands. Her projects include studying methane transport mechanisms in wetland plants, the role of Sphagnum mosses as methane biofilters, and the impact of peatland restoration on carbon sequestration. Her recent work highlights how plant phenology and species traits influence methane emissions in boreal fens, as well as the potential of peatlands to transition from emission sources to carbon sinks. Key contributions include reviews on methane exchange mechanisms in wetlands and diurnal methane emission patterns in tree canopies. Dr. Putkinen has participated in over 18 professional activities, including peer reviews for journals like *Biogeosciences* and *Soil Biology & Biochemistry*, and has presented posters at major conferences such as the **17th International Symposium on Microbial Ecology** (2018). She is a core member of projects like **MEMETRE** and **Living Labs for Wetland Forest Research**, which aim to model methane emissions and promote sustainable land use. Her research integrates microbiology, ecology, and environmental science, addressing critical questions about climate change and ecosystem resilience. Current projects emphasize restoring degraded peatlands and understanding methane dynamics in boreal ecosystems to inform global climate models.

Brenton von Takachمشاهده پروفایل

پژوهشگر ارشد

• Conservation Biology
• Population Genomics
• Disturbance Ecology
• +۳ مورد دیگر

Brenton von Takach is a Research Fellow in the School of Molecular and Life Sciences at Curtin University, holding the WA Premier’s EMC Fellowship. His research focuses on applying environmental, spatial, and genomic data to improve conservation strategies for threatened species and ecosystems. He specializes in conservation ecology, population genomics, and landscape management, with expertise across taxa including plants, birds, mammals, and reptiles. Former Forrest Prospect Fellow investigating mammal declines in Australia PhD from The Australian National University (2019), studying disturbance impacts on mountain ash forests Prior roles at Charles Darwin University and Northern Territory Government Research interests span conservation biology, disturbance ecology, and biogeography. His work integrates genomic approaches with ecological field studies to address threats such as habitat fragmentation, invasive species, and climate change. Key contributions include genomic prioritization for threatened species management and urban wildlife conflict mitigation. Scientific awards: WA Premier’s EMC Fellow, Forrest Prospect Fellow Teaching contributions include ecology units at Curtin and ANU. Collaborations with government agencies and Indigenous communities emphasize applied conservation solutions. Current projects explore invertebrate genetics, toad containment zones, and genomics in tropical ecosystems.

Heiner Kuhlمشاهده پروفایل

پژوهشگر

• Molecular Fish Physiology
• Genetics and Evolution of Fish
• Sex Determination Mechanisms
• +۴ مورد دیگر

Dr. Heiner Kuhl is a Scientific Staff member in the Department of Fish Biology, Fisheries and Aquaculture at the Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB Berlin). His research focuses on molecular fish physiology, genetics, and evolution, particularly in sex determination, genome analysis, and aquatic species adaptation. Affiliation: IGB Berlin, Department of Fish Biology, Fisheries and Aquaculture Role: Researcher His research spans comparative genomics, polyploidy, and biodiversity genomics, with a strong emphasis on aquatic vertebrates. Recent projects highlight his work on sex chromosome evolution and genome stability in invasive species. Dr. Kuhl has contributed to major publications in journals like Nature Communications , Molecular Ecology , and Philosophical Transactions of the Royal Society . His work often involves interdisciplinary collaborations, particularly in genome assembly and evolutionary biology.

Cleber Costa Ouverneyمشاهده پروفایل

دانشیار

• Microbial Ecology
• Molecular Biology
• Environmental Microbiology
• +۳ مورد دیگر

Cleber Costa Ouverney is an Associate Professor in the Department of Biological Sciences at San José State University . His research focuses on characterizing complex microbial communities, particularly uncultured environmental Bacteria and Archaea related to human-associated microbes, using culture-independent molecular methods. PhD in Microbiology from the University of Southern California (1999) Postdoctoral fellowship at Stanford University (2004) Developed innovative tools like jsPhyloSVG for interactive phylogenetic tree visualization and Phylometrics for high-throughput phylogenetic analysis His work emphasizes single-cell genetic analysis, metabolic activity measurement in situ , and bridging environmental microbiology with human health implications. He has contributed to understanding the ecophysiological roles of uncultivated TM7 bacteria through techniques like FISH and STARFISH.

Heidi Renningerمشاهده پروفایل

دانشیار

• Forest Ecophysiology
• Tree Water Use
• Bioenergy Crops
• +۳ مورد دیگر

Dr. Heidi Renninger is an Associate Professor at Mississippi State University's College of Forest Resources, specializing in Forest Ecophysiology. Her work focuses on environmental drivers of tree functioning, impacts of disturbances on forest systems, and ecosystem service provision under climate change. Ph.D. in Geography from Boston University M.S. in Forest Science from Oregon State University B.S. in Biology from Millersville University of Pennsylvania Her research bridges physiological plant function with hydrology and biogeochemical cycling, particularly in short rotation bioenergy crops like Populus species. She investigates water use efficiency , photosynthetic capacity , and stomatal dynamics in bottomland hardwoods and upland pine forests. Recent publications highlight her expertise in deep learning for sap flow analysis , LIDAR-based biomass estimation , and physiological plasticity in hybrid poplar . Key subfields include climatic adaptation , genomic trait analysis , and drought resilience strategies . Scientific Awards: College of Forest Resources Research Award College of Forest Resources Early Career Achievement Award Dr. Renninger collaborates with researchers like Dr. Chris Siegert and Dr. Ron Rousseau, advising graduate students Daniel Bononcini, Joseph Thomas, and Jiaxin Wang. She actively contributes to forest-climate modeling and bioenergy crop optimization.

James Grantمشاهده پروفایل

مدرس

• Bandit Learning
• Reinforcement Learning
• Online Sequential Decision Making
• +۴ مورد دیگر

Dr. James Grant is a Lecturer in Statistics at Lancaster University's School of Mathematical Sciences since 2021, where he also serves as the EDI Lead for both the School and the ProbAI Research Hub. He is active in several roles at the Royal Statistical Society and serves as an Associate Editor for the ACM Transactions on Probabilistic Machine Learning. Grant completed his PhD in 2019 through the STOR-i Centre for Doctoral Training at Lancaster University under the supervision of Professors David Leslie, Kevin Glazebrook, and Roberto Szechtman. Prior to his PhD, he worked as a Machine Learning Research Student at Secondmind.ai and as a Research Associate within the STOR-i Centre for Doctoral Training. Dr. Grant's research focuses on online sequential decision making for problems with complex data structures, particularly in bandit learning and reinforcement learning. He specializes in multi-armed bandits, online optimization, and recommender systems where algorithms learn optimal decisions through iterative processes of decision-making, data observation, and model updating. His research emphasizes collaboration with industry, having worked on the Next-Generation Converged Digital Infrastructure project with BT. His publication record demonstrates strong expertise in bandit algorithms with applications spanning federated learning systems, anomaly detection in time series data, and phylogenetic tree analysis. Grant's work consistently bridges theoretical foundations with practical applications across telecommunications, surveillance systems, and decision-making frameworks. Notable Paper Award Winner at AISTATS 2020 for "On Thompson Sampling for Smoother-than-Lipschitz Bandits" Associate Editor for ACM Transactions on Probabilistic Machine Learning Active participant in Royal Statistical Society initiatives Dr. Grant currently supervises six PhD students working on diverse research topics including bandit learning, tropical statistics, anomaly detection, sequential simulation methods, safety in reinforcement learning, and Bayesian optimization. His former research associate, Changjiang He, has progressed to become a Lecturer in Computer Science at the University of Roehampton. As an EDI Lead, Grant actively promotes equality, diversity, and inclusion within the academic community while maintaining a robust research program that bridges theoretical statistics with real-world applications.