جست‌وجوی استاد و پژوهشگر

Morgane Thomas-Chollierمشاهده پروفایل

دانشیار

• Bioinformatics
• Genomics
• Computational Biology
• +۳ مورد دیگر

Morgane Thomas-Chollier is an Associate Professor at Ecole normale supérieure PSL (Paris, France) and a former Junior Member of the Institut Universitaire de France (2017-2022). She leads the GenomiqueENS core facility and is a key contributor to the RSAT bioinformatics software suite. Her research focuses on transcriptional regulation, functional genomics, and computational tools for analyzing high-throughput sequencing data, particularly in single-cell and long-read contexts. She holds a PhD in Bioinformatics from Université Libre de Bruxelles (2008) and completed postdoctoral training at the Max Planck Institute for Molecular Genetics (Berlin) and the Université Libre de Bruxelles. She has held teaching roles in computational biology at ENS, including courses on genomics, bioinformatics, and ethics in science. She actively promotes women in STEM through mentorship and advocacy, including co-organizing national bioinformatics teaching initiatives as Vice-President of the Société française de Bioinformatique (2016-2020). Her research integrates computational analysis of regulatory sequences, with applications in evo-devo and transcription factor binding prediction. She has pioneered workflows for analyzing ChIP-seq data and regulatory variants. Key software contributions include RSAT tools for motif discovery and sequence analysis. She has been an invited speaker at major conferences such as ISCB-Latin America and JOBIM, and her work bridges bioinformatics with experimental biology to address challenges in the era of genomic big data. Scientific contributions include studies on glucocorticoid receptor binding dynamics, developmental signaling in sea urchins, and logical modeling of immune cell differentiation. Her work emphasizes reproducibility, open science, and interdisciplinary training to address computational biology's evolving demands.

Pierre-Luc Germainمشاهده پروفایل

مدرس

• Neuroscience
• Epigenetics
• Computational Biology
• +۴ مورد دیگر

Dr. Pierre-Luc Germain is a Lecturer at the Department of Health Sciences and Technology (D-HEST), ETH Zurich, Switzerland. His research integrates neurobiology, epigenetics, and computational methodologies to address complex biological questions. He is affiliated with the Neuroscience Institute (Institut für Neurowissenschaften) and actively contributes to interdisciplinary studies, including collaborations with wet-lab researchers to develop robust experimental tools. His work spans multiple areas: microRNA regulation in synaptic function and neurological disorders, transcriptional and chromatin dynamics during development, and the effects of environmental factors like stress and endocrine disruptors on health outcomes. He has developed computational frameworks such as scanMiR and diffUTR to enhance omics data analysis, emphasizing reproducibility and cross-lab consistency. Germain’s research highlights transgenerational epigenetic inheritance, particularly in stress-related contexts, and explores mechanisms underlying diseases like bipolar disorder and cancer. He advocates for methodological rigor in post-genomics studies and critiques traditional explanatory paradigms in biology and medicine. No scientific awards were explicitly listed, but his contributions to bioinformatics and experimental design are notable. His advising and grants narrative centers on fostering collaborative projects and advancing translational research, with ongoing work in neurodevelopmental modeling and single-cell profiling techniques.

Bernadette Johnsonمشاهده پروفایل

پژوهشگر ارشد

• Sexual Selection
• Sexual Conflict
• Genome Evolution
• +۳ مورد دیگر

Bernadette Johnson serves as a Biodiversity Informatics and Data Science Postdoctoral Fellow within the Department of Zoology at the University of British Columbia's Faculty of Science. She is actively affiliated with the Mank Lab, where her research program centers on the evolutionary genomics of sexual selection and sexual conflict, primarily utilizing livebearing Poecilia fishes as model systems. Her dual fellowship roles underscore her interdisciplinary focus bridging biodiversity science and computational data analysis. Johnson's research interests converge at the intersection of evolutionary biology and genomics, with specific emphasis on how sexual selection pressures shape genome architecture and transcriptome dynamics. She employs cutting-edge bioinformatics approaches to investigate sex chromosome evolution, dosage compensation mechanisms, and the genomic signatures of reproductive strategies across fish lineages. Her work frequently incorporates marine biodiversity datasets, particularly from syngnathiform fishes (pipefishes and seahorses), to explore fundamental questions about sexual dimorphism and parental investment. Analysis of her publication record from 2017-2025 reveals consistent methodological innovation in fish genomics, with recurring investigations into sex chromosome conservation, brood pouch transcriptomics, and environmental endocrine disruption. Her studies demonstrate particular expertise in comparative genome assembly, transcriptomic sensitivity to experimental variables, and the evolutionary implications of sex-role reversal systems. This body of work establishes her as a contributor to both theoretical evolutionary biology and practical biodiversity informatics frameworks. As a member of UBC's Biodiversity Research Centre ecosystem, Johnson collaborates within a vibrant interdisciplinary network focused on organismal diversity. Her affiliation with the Mank Lab provides access to specialized genomic resources and evolutionary model systems, facilitating her investigations into the molecular basis of reproductive evolution. Her research trajectory suggests continued contributions to understanding how genomic architectures evolve under sexual selection pressures in aquatic environments.

Lee Yuan Kunمشاهده پروفایل

دانشیار

• Photosynthetic Carbon Dioxide Removal
• Microbe-Host Interactions
• Probiotics Development
• +۵ مورد دیگر

Associate Professor Lee Yuan Kun is affiliated with the Department of Microbiology and Immunology at the National University of Singapore (NUS), within the Yong Loo Lin School of Medicine. His academic roles include research and teaching, focusing on microbial systems and their applications in environmental and health contexts. He holds a BSc (Honors), MSc, and PhD in relevant fields. His research interests are threefold: enhancing photosynthetic carbon dioxide removal via genetic engineering and algal physiology; exploring microbe-host interactions, particularly probiotics' effects on gastrointestinal health and diet-related diseases; and advancing microbial fermentation techniques for pharmaceuticals, food, and waste treatment. Current research projects include studies on cell adhesion, immunomodulation pathways, carbohydrate signaling, probiotics as oral vaccine vectors, and photosynthetic microalgae for carbon capture. His work bridges fundamental microbiology with applied biotechnology, addressing challenges in sustainability and human health. Publications from 2008 to 2016 highlight themes of microalgal lipid metabolism, probiotic mechanisms, and microbial systems engineering. Notable trends include optimizing microalgae for biofuel production and investigating gut microbiota diversity in developing regions. No scientific awards are explicitly listed in the provided text. No formal advisees are mentioned, and grant details are not specified. His research is conducted within the Department of Microbiology and Immunology labs, focusing on interdisciplinary approaches in microbiology and immunology.

• Neuroscience
• Developmental Brain Circuitry
• Autism Spectrum Disorder
• +۴ مورد دیگر

Dr. Kurt Haas is a Professor in the Department of Cellular & Physiological Sciences and the School of Biomedical Engineering at the University of British Columbia. His research focuses on molecular and cellular mechanisms of early brain circuit formation, with a particular emphasis on autism spectrum disorder (ASD), schizophrenia, and epilepsy. He employs cutting-edge imaging technologies, including in vivo microscopy and high-throughput cell assays, to study neural development and dysfunction. Expertise: Neurodevelopmental disorders, synaptic plasticity, in vivo imaging techniques Key Projects: Development of gene delivery methods, analysis of PTEN mutations in ASD, and creation of curated databases like BrainPalmSeq Research interests include structural and functional plasticity in the developing brain, dysfunctional neural networks, and the application of novel microscopy techniques. His lab integrates electrophysiology, molecular biology, and computational modeling to understand how genetic mutations impact neuronal development and connectivity. Recent work highlights contributions to imaging technologies (e.g., ultrafast two-photon microscopy) and functional analysis of disease-associated genes using yeast models. His studies on PTEN mutations reveal molecular mechanisms underlying protein dysfunction in autism and cancer. Dr. Haas collaborates with interdisciplinary teams to advance translational research, bridging basic neuroscience with clinical applications in neurodevelopmental disorders.

Chongle Panمشاهده پروفایل

دانشیار

• Bioinformatics
• Machine Learning
• Proteomics
• +۵ مورد دیگر

Chongle Pan is an Associate Professor of Microbiology and Computer Science at The University of Oklahoma. He holds a Ph.D. from the University of Tennessee (2006) and a B.S. from East China Normal University (2001). His research bridges computational and biological sciences, focusing on explainable machine learning, parallel computing for biomedical informatics, human microbiome dynamics, and environmental microbiome modeling. Key projects include studying probiotic/prebiotic impacts on human health and developing mechanistic models for wetland sediment communities' greenhouse gas emissions. His lab employs proteomic stable isotope probing, integrated -omics, and synthetic microbiome approaches. Research interests include computational biology, proteomics, and environmental microbiology. Notable contributions include genome-resolved proteomic studies of soil microbial communities and cloud computing-based proteomics analysis tools like CloudProteoAnalyzer. Collaborations involve institutions like Lawrence Berkeley National Lab and Pacific Northwest National Lab. Publications highlight advancements in metaproteomics, microbial community modeling, and biomedical imaging technologies. His work addresses environmental bioremediation challenges and computational solutions for genomic data analysis. The Pan Lab's research emphasizes interdisciplinary innovation at the interface of computer science and life sciences. Grants and funding sources support his work in computational biology and microbial ecology. No specific awards are listed, but his extensive publication record reflects sustained academic impact. Students are advised through collaborative interdisciplinary programs combining computer science and microbiology disciplines.

Helena Andres Terreمشاهده پروفایل

پژوهشگر ارشد

• Machine Learning
• Artificial Intelligence
• Unsupervised Learning
• +۷ مورد دیگر

Helena Andres Terre is a Research Fellow at the Department of Computer Science and Technology, University of Cambridge, and a member of The Mark Foundation Institute for Integrated Cancer Medicine. She holds an honorary role as a Clinical Research Fellow at Moorfields Eye Hospital, London. Her research focuses on AI-driven biomedical data integration, generative models, and interpretable machine learning. She completed a PhD in Artificial Intelligence (University of Cambridge, 2015–2019, nominated for distinguished dissertation), an MPhil in Mathematical Networks (Queen Mary University of London, 2014–2015, with distinction and best student prize), and a BA in Theoretical Physics from the University of Barcelona and Rensselaer Polytechnic Institute. Her work integrates complex systems, mathematical networks, and deep learning to address challenges in cancer diagnosis and treatment. Key areas include unsupervised generative models, graph neural networks, and explainable AI for healthcare. She actively promotes equity in STEM through roles with Women@CL and Trinity College PostDoc Society. Recent research trends emphasize multi-modal data fusion for clinical decision-making, leveraging graph-based architectures and adversarial techniques. Her contributions include CellVGAE for single-cell RNA analysis and REM for interpretable healthcare analytics. Awards include recognition for her PhD and MPhil achievements. Helena supervises Part II/III projects in Physics and Computer Science, teaches Machine Learning at Cambridge Spark, and mentors through initiatives like Code First: Girls. Beyond academia, she is a competitive ultimate frisbee athlete and outdoor enthusiast.

Russell S. Schwartzمشاهده پروفایل

استاد

• Computational Biology
• Cancer Genomics
• Tumor Evolution
• +۶ مورد دیگر

Russell S. Schwartz is a Professor and Department Head of Computational Biology at Carnegie Mellon University's Mellon College of Science. He holds a Ph.D. in Computer Science from MIT and has postdoctoral training in computational biology. His research focuses on algorithmic and machine learning approaches to understand complex biological systems, particularly cancer genomics and tumor evolution. Key areas include clonal lineage inference, tumor phylogenetics, and multi-omics data integration. He leads initiatives in computational cancer research, developing tools like TUSV and MosaicSim for tumor evolution modeling. His lab also addresses challenges in bioinformatics education, contributing to the ISCB Competency Framework. Current projects emphasize spatial tumor modeling, ctDNA dynamics, and precision oncology strategies.

• Neurogenetics
• CRISPR Technology
• iPSC Models
• +۲ مورد دیگر

Rigel Chan, PhD, is an Assistant Professor in the Department of Neurology at UMass Chan Medical School, with joint appointments in NeuroNexus Institute and multiple graduate programs. His laboratory focuses on neurogenetics and CRISPR-based technologies to model neurodegenerative disorders using induced pluripotent stem cells (iPSCs) and organoid systems. Dr. Chan's educational background includes a BS in Computing and MS in Bioinformatics from National University of Singapore, followed by a PhD in Genetics & Genomics from Harvard University. His postdoctoral training combined computational and experimental approaches to neurogenetic research. Research in the Chan Lab employs CRISPR-Cas9 genome editing, single-cell transcriptomics, and high-throughput screening techniques to investigate neurodevelopmental and neurodegenerative mechanisms. Current projects explore microglial dysfunction in Alzheimer's disease, viral triggers of neurodegeneration, and cell-type specific gene drivers in autism spectrum disorder. The lab develops innovative methodologies including pooled iPSC generation platforms and mosaic organoid screening systems. Dr. Chan has established collaborative networks with researchers at Harvard, Broad Institute, and other leading institutions. His work has contributed to understanding the roles of microglia in Alzheimer's pathology and developing new approaches for neurogenetic research.

Robert Graingerمشاهده پروفایل

استاد

• Developmental Biology
• Genetic Disorders
• Molecular Genetics
• +۳ مورد دیگر

Robert Grainger is the W. L. Lyons Brown Professor of Biology at the University of Virginia, focusing on developmental biology and genetic disorders using the Xenopus species as a model system. His research bridges basic science and clinical applications, particularly in eye development and congenital diseases. The Grainger lab explores how tissues and organs form during embryogenesis, with a special emphasis on the genetic mechanisms underlying eye formation and congenital defects such as aniridia and Hermansky-Pudlak Syndrome (HPS). Key projects include CRISPR-mediated gene editing to model human diseases in Xenopus and studying PAX6 and other genes critical for eye development. Research interests include: Embryonic eye development and tissue interactions Gene editing techniques (CRISPR, TALEN) for mutagenesis Modeling human diseases in Xenopus tropicalis Genetic basis of congenital eye disorders Applications of Xenopus in translational medicine His articles emphasize innovative methods in genetic screening (e.g., gynogenesis) and husbandry practices to enhance Xenopus research reproducibility. While no specific awards are listed, his work has advanced understanding of conserved developmental pathways between frogs and humans, offering insights into potential treatments for vision impairments and genetic disorders. Advising and grants: No formal advisees or grant details are provided in the text. The lab focuses on collaborative projects involving human-patient-derived data and Xenopus model systems. Labs/Teams: The Grainger lab at UVA is dedicated to developmental genetics, with a focus on leveraging Xenopus tropicalis for disease modeling and gene function analysis.

Darryl Reevesمشاهده پروفایل

دانشیار

• Bioinformatics
• Computational Biology
• Genomics
• +۳ مورد دیگر

Darryl Reeves is an Industry Associate Professor in the Department of Computer Science and Engineering at the NYU Tandon School of Engineering. His research focuses on bioinformatics and computational biology, with expertise in geospatial phylogenomics, genome assembly, and metagenomics. He holds a Ph.D. and maintains office hours on Tuesdays from 2 PM to 4 PM, with an office located at 370 Jay Street, 8th Floor, Room 840. Reeves’ research interests span the application of computational methods to biological systems, particularly in genomic data analysis and functional annotation for non-model organisms. His work integrates high-throughput sequencing technologies with geospatial data to study biodiversity patterns in urban environments and fungal taxonomy. Though no scientific awards are explicitly listed, his publications reflect a strong focus on interdisciplinary genomic research. His advising and grants activities are not detailed here, but his academic role suggests active engagement in student mentorship and research funding. His work is closely tied to bioinformatics tools development and their application in diverse biological contexts.

Jamie Beckerمشاهده پروفایل

دانشیار

• Marine Microbiology
• Microbial Ecology
• Prochlorococcus Physiology
• +۴ مورد دیگر

Jamie Becker, Ph.D., is an Associate Professor of Biology at Alvernia University, located within the College of Science, Technology, Engineering, Arts, and Mathematics. His research focuses on marine microbiology, particularly the physiology and evolution of Prochlorococcus, the most abundant marine photosynthetic organism. He previously conducted postdoctoral research at MIT, collaborating on groundbreaking studies isolating novel Prochlorococcus strains. His work bridges laboratory cultivation techniques with field-based environmental DNA analysis, including expeditions to the Amazon rainforest to study microbial diversity. Becker emphasizes experiential learning, involving students in global research projects to foster scientific and cultural understanding. His interdisciplinary approach integrates microbial ecology, genomics, and education innovation. Education: Becker earned his Ph.D. in Biology and completed postdoctoral studies at MIT’s marine microbiology lab. His academic background includes training in microbial physiology, molecular biology, and oceanography. Research Interests: Becker’s work centers on Prochlorococcus’s ecological role, metabolic diversity, and evolutionary adaptation. He investigates cross-feeding mechanisms in marine microbial communities and the impact of environmental factors on microbial physiology. His Amazon rainforest projects explore microbial contributions to environmental DNA dynamics, leveraging genomic tools to understand tropical ecosystems. Recent studies highlight the importance of microbial interactions in shaping ocean biogeochemistry. Collaborations & Grants: He collaborates internationally with institutions like MIT, focusing on Prochlorococcus and marine microbial networks. A recent grant supports student participation in Amazon fieldwork, emphasizing hands-on learning. His 2024 mBio publication, co-authored with 15 researchers, underscores collaborative efforts in isolating new Prochlorococcus strains. Labs & Teams: Active in MIT’s marine microbiology lab and leads Alvernia’s environmental DNA research initiatives. His team employs cutting-edge genomic and cultivation techniques to study understudied microbial taxa.

• Bioinformatics
• Machine Learning in Agriculture
• Protein Engineering
• +۷ مورد دیگر

Prof. Dr. Dominik Grimm is a Professor in the Department of Forestry and Forestry Management at the University of Applied Sciences Straubing (HSWT). He leads the Straubing site for sustainable resource use and is affiliated with the Faculty of Forestry and Forest Management. His research focuses on interdisciplinary applications of machine learning, computational biology, and optimization in agriculture, biotechnology, and environmental science. Key areas include precision agriculture (e.g., UAV-based weed detection in sorghum fields), protein engineering (thermostability prediction), and reinforcement learning for process synthesis. He has pioneered tools like permGWAS2 for genome-wide association studies and EVARS-GPR for seasonal time series forecasting. His work integrates AI with real-world challenges, such as optimizing hospital bed management and improving crop yields through data-driven strategies. Education : Advanced degrees in computer science and bioinformatics (details not explicitly stated). Research interests span computational methods in agriculture, genomics, and combinatorial optimization. He supervises doctoral candidates like Josef Eiglsperger and Jonathan Pirnay. His lab (Grimmlab) develops open-source frameworks for time series analysis and phenotypic data processing. Key projects include automated process design using reinforcement learning and machine learning for perishable product forecasting in horticulture. Publications highlight contributions to protein stability modeling, agricultural robotics, and data stream algorithms. Collaborations involve institutions like the University of Bayreuth and the Helmholtz Center Munich. His work emphasizes practical applications, such as reducing herbicide use through precision agriculture and enhancing biomanufacturing via AI-driven enzyme discovery. Grants and research projects funded include methods for flowsheet synthesis, generative AI in enzyme discovery, and sustainable resource management. He leads initiatives integrating machine learning with horticultural sales prediction and patient bed assignment optimization in hospitals.

Jonathan Hulveyمشاهده پروفایل

دانشیار

• Mycology
• Fungal Genomics
• Molecular Plant Pathology
• +۴ مورد دیگر

Dr. Jonathan Hulvey is an Associate Professor in the Biology Department at Eastern Connecticut State University. He holds a Ph.D. in Genome Science and Technology from the University of Tennessee, Knoxville. Prior to Eastern, he served as a Research Assistant Professor at UMASS Amherst and an Adjunct Professor at Holyoke Community College, where he focused on fungal genomics, plant pathology, and fungicide resistance. His research integrates mycology and microbiology, addressing topics like antibiotic screening in fungi, fungal resistance genes, and viral infections of insects. He emphasizes collaborative work with local businesses and schools, enriching classroom experiences. Teaching focuses on Microbiology and Mycology, with a philosophy prioritizing engagement and relevance. He employs diverse methods to accommodate varied learning styles, including literature review, data analysis, and lab experiments. Over six years at Eastern, he has mentored 3 Honors students and nearly 20 Independent Study students, fostering their research skills and curiosity. Publications highlight fungicide resistance mechanisms in pathogens like Sclerotinia homoeocarpa and Phytophthora capsici, often leveraging genomic and transcriptomic approaches. His work bridges fundamental research with practical applications in agriculture and environmental science. Collaborations with USDA and multiple universities underscore his commitment to interdisciplinary science. Dr. Hulvey values student mentorship, noting rewarding moments when students deepen their inquiry and experimental approaches. His lab provides unique research opportunities, blending mycology and microbiology to explore natural systems.

Christina A. Harringtonمشاهده پروفایل

استاد پژوهشی

• Genomics Technology
• Gene Expression Regulation
• Biomarkers
• +۳ مورد دیگر

Christina A. Harrington is a Research Professor in the Department of Molecular and Medical Genetics at Oregon Health & Science University (OHSU) and serves as the Associate Director of the Integrated Genomics Laboratory (IGL). She leads special projects in shared resources at the OHSU Knight Cancer Institute and has extensive experience in managing genomic technologies, including next-generation sequencing and microarray analysis. Her roles include overseeing the IGL's outreach and education initiatives, building on over two decades of leadership in gene profiling and DNA services. Dr. Harrington holds a Ph.D. in Molecular, Cellular, and Developmental Biology from the University of Colorado, Boulder, and a B.S. in Biology from the California Institute of Technology. Her research focuses on genomic technologies, gene expression regulation, and biomarker discovery, with applications in cancer, neurodegenerative diseases, and inflammatory conditions. She has pioneered RNA and DNA analysis techniques for biomedical research, including transcriptomic studies of archival samples and biomarker identification in cerebrospinal fluid. Her collaborative work spans multiple disciplines, including oncology, ophthalmology, and neurology. Recent studies highlight her contributions to population cohort recruitment for cancer research, molecular profiling of pediatric brain tumors, and identifying genetic risks in Oregon populations. Dr. Harrington’s expertise in core facilities management ensures accessibility of cutting-edge genomic tools to researchers. Her publications reflect a focus on translational research, biomarker validation, and advancing diagnostic methodologies. Key areas include Alzheimer’s disease biomarkers, orbital inflammation molecular pathways, and RNA-based diagnostics for uveitis and inflammatory diseases.