جست‌وجوی استاد و پژوهشگر

• Quality control in gene expression
• Translation
• Protein misfolding
• +۴ مورد دیگر

Thomas Bentin serves as Associate Professor in the Department of Cellular and Molecular Medicine within the Faculty of Health and Medical Sciences at the University of Copenhagen. His research focuses on chromosome biology, gene expression quality control, and bacterial resistance mechanisms, utilizing advanced technologies including Cas9-derived chromosome imaging systems. His primary research interests span Quality control in gene expression Translation fidelity and protein misfolding Synthetic antibiotic development Chromosome dynamics and cancer-associated loci CRISPR-based genome editing tools His work integrates molecular engineering with clinical applications, particularly in antimicrobial development and chromosome stability. Analysis of his recent publications reveals a strong trend toward translational research bridging basic molecular mechanisms with therapeutic applications. His work spans antimicrobial peptide development, CRISPR technology refinement, and fundamental studies of protein folding in antibiotic resistance. Key thematic areas include bacterial chromosome dynamics, engineered genetic systems, and novel approaches to combat drug resistance. Professor Bentin actively mentors bachelor's, master's, and PhD students in research projects while teaching cell biology and molecular biology to medical students. His current research is supported by The Carlsberg Foundation, with significant collaborations including the Center for Chromosome Stability and Professor Ian D. Hickson's team. His laboratory develops innovative technologies including chromosome locus-specific live-cell imaging systems and engineered genetic tools for studying DNA topology, mRNA transcription, and peptide nucleic acid interactions. Recent work focuses on cancer-associated chromosomal loci and antimicrobial development with reduced resistance potential.

David Hendrixمشاهده پروفایل

استاد

• Bioinformatics
• Computational Biology
• Biological Data Science
• +۳ مورد دیگر

David Hendrix is a Professor in the Department of Electrical Engineering and Computer Science at Oregon State University, affiliated with both the College of Engineering and the College of Sciences. His research focuses on computational biology, bioinformatics, and machine learning applied to RNA and DNA analysis. He leads the Hendrix Lab, which develops algorithms to study non-coding RNAs and integrates structural predictions with genomic data. His work bridges molecular biology and computational techniques, addressing gene regulation and RNA function. Education : Postdoc, CSAIL, Massachusetts Institute of Technology Postdoc, University of California, Berkeley Ph.D., Physics, University of California, Berkeley B.S., Applied Mathematics & Physics, Georgia Institute of Technology Research Interests : The lab investigates RNA secondary structures, machine learning for bioinformatics, and non-coding RNA mechanisms. Key projects include developing tools like mRNN (predicting coding potential) and bpRNA (RNA structure analysis), supported by grants and collaborations. Articles Trends : Recent work emphasizes RNA structure prediction, machine learning in genomics, and applications in plant and viral biology. The lab’s methods are applied to hop genetics, cancer biology, and aging-related transcriptomics. Awards : 2022 Wayne & Gladys Valley Foundation BioHealth Fellow 2021 College of Science Dean’s Early Career Achievement Award 2019 University Mentoring and Professional Development Award Advising & Grants : Dr. Hendrix oversees a lab focused on interdisciplinary projects, with funding from NIH and NSF. Students and postdocs collaborate on computational tools and biological data integration. Labs/Teams : The Hendrix Lab collaborates with bioinformatics, molecular biology, and engineering groups, emphasizing open-source software and data-driven discoveries.

• Neuroscience
• Neural Circuits
• Sensory Processing
• +۵ مورد دیگر

Michael Harvey is a Lecturer in the Medicine Section at the Faculty of Science and Medicine, University of Fribourg. He holds a dual role as Technical Officer within the same section, focusing on academic and technical support. His research primarily centers on neurophysiological mechanisms, particularly the interplay between basal forebrain, thalamus, and cortical networks in regulating sensory processing and behavioral states. Dr. Harvey’s work emphasizes neural circuit dynamics, including optogenetic modulation of brain regions like the visual thalamus and basal forebrain. His studies explore how these areas govern attention, sleep architecture, and default mode network activity. Key topics include frequency-specific modulation of auditory cortex, temporal coding in somatosensory systems, and the role of ventral pallidum in transitioning between internal and external behavioral states. His publications span 20 years, with a focus on neural network regulation, thalamic gate control, and neurophysiological adaptations across species. While no formal awards are listed, his contributions to understanding cortical-laminar dynamics and optogenetic applications highlight innovative methodological approaches. No students or grants are explicitly mentioned in the provided information.

• Neuroscience
• Molecular Biology
• Neurodevelopmental Disorders
• +۳ مورد دیگر

Hong Li is an Associate Research Scholar in the Department of Neuroscience at Yale University's Yale School of Medicine. Their research focuses on molecular mechanisms of cortical developmental malformations in neurodevelopmental and psychiatric disorders, employing animal models and integrative methodologies including molecular biology, genetics, morphology, and transcriptomics. Dr. Li holds a DPhil from the University of Helsinki (2007) and an MD from Anhui University (1997). Their work aims to advance understanding of neuropsychiatric diseases and develop therapeutic strategies. Educational Background: DPhil in Neuroscience, University of Helsinki (2007) MD, Anhui University (1997) Research Interests: Investigating molecular pathways underlying cortical development abnormalities, with emphasis on translational research to bridge basic science and clinical applications. Techniques include advanced genetic engineering, transcriptomic profiling, and cross-disciplinary approaches combining neuroscience and molecular biology. Advising & Grants: No specific grants or trainees listed in available materials, though their publications suggest collaborative research in quantum computing, embedded systems, and telecommunication networks. Recent work includes cross-domain contributions to quantum error correction systems and LLM-based robotic applications. Professional Contributions: Active in systems engineering, publishing on operating systems design, FPGA-based quantum decoders, and secure memory management. Their work bridges biomedical research with computational and hardware innovations.

• Colorectal Surgery
• Oncology
• Surgical Outcomes Research
• +۳ مورد دیگر

Dr. Haddon Pantel is an Assistant Professor of Surgery (Colon and Rectal) at Yale School of Medicine. He specializes in treating benign, inflammatory, and cancerous diseases of the colon, rectum, and anus, including diverticulitis and inflammatory bowel disease. He completed his MD at the University of Vermont Larner College of Medicine, followed by general surgery residency and colon and rectal surgery fellowship at Lahey Clinic. Research Interests: His work focuses on surgical outcomes, colorectal cancer management, and healthcare cost analysis. Key topics include low anterior resection syndrome, mismatch repair deficient colon cancer, and anal cancer screening in HIV-positive men who have sex with men. Publications: Recent work explores surgical practice patterns, CT-based cancer staging, and pelvic floor therapy for post-surgical complications. Notable studies address cost-effectiveness of regionalized rectal cancer surgery and predictive factors for bowel dysfunction after proctectomy. Affiliations: Active in departments such as the Cancer Prevention and Control Center, Hepatic Arterial Infusion Program, and Oligometastatic Cancer Program. Board certified in General Surgery and Colon and Rectal Surgery. Education & Mentorship: Contributes to surgical education through residency training and program directorship studies. Advocates for early colorectal cancer screening, emphasizing colonoscopy as a preventive measure.

• Developmental Biology
• Molecular Genetics
• Embryology
• +۶ مورد دیگر

Caroline Hoppe is an Associate Research Scientist in the Genetics Department at Yale School of Medicine, Yale University. She holds a PhD in Developmental and Molecular Biology from the University of Manchester (2019) and a BSc in Biochemistry and Cell Biology from Jacobs University (2015). Her research focuses on developmental genetics, transcriptional regulation, CRISPR technologies, and molecular imaging. She collaborates with prominent researchers such as Antonio Giraldez and Mina Kojima on topics like maternal-to-zygotic transition and embryonic development. Key research areas: Embryology, Drosophila genetics, genomic regulatory elements, and bioinformatics. Notable work includes live imaging techniques for mRNA and transcription dynamics, CRISPR-Cas9 applications, and analysis of BMP signaling gradients. Her publications span developmental biology to cancer genomics, with a focus on molecular mechanisms driving embryonic development and genetic regulation in model organisms. She has contributed to tools like the MS2/MCP system for transcription visualization and GEARs for protein function studies.

Mark Eramianمشاهده پروفایل

استاد

• Image Processing
• Medical Image Analysis
• Image Segmentation
• +۵ مورد دیگر

Mark Eramian is a Professor in the Department of Computer Science at the University of Saskatchewan. His research focuses on image processing, medical image analysis, and computer vision, with significant contributions to plant phenotyping and medical diagnostics. He leads a lab emphasizing equity, diversity, and inclusivity, outlined in the Lab Code of Conduct . His work spans applications in agriculture, such as automated plant trait analysis using UAV and multispectral imaging, and medical imaging, including thyroid nodule classification and ovarian follicle segmentation. He collaborates with organizations like the Canadian Food Inspection Agency and is part of the Plant Phenotyping and Imaging Research Centre (P2IRC), funded by the Canada First Research Excellence Fund. Eramian teaches courses in image processing, computer vision, and algorithms. His lab actively develops open-source tools for image analysis, including texture enhancement methods and segmentation algorithms. Current projects include self-supervised learning for phenotyping and semi-automated seed classification. Prospective students are encouraged to apply through the university's graduate program, selecting 'Computer Vision and Image Processing' as their focus area. His lab emphasizes collaboration, learning, and ethical conduct, with ongoing work in phenomics and medical imaging technologies.

• Machine Learning
• Deep Learning
• Neural Architecture Search
• +۳ مورد دیگر

Paul Temple is an active researcher at the Faculty of Computer Science, University of Namur, specializing in machine learning applications for software systems. His work bridges artificial intelligence, deep learning optimization, and configurable software engineering. Research focuses on energy-aware neural architecture search , variability-intensive systems , and constraint-integrated machine learning . Key contributions include developing genetic algorithms for balancing AI performance/consumption (SmartTune project) and RNN-based log analysis for software variants (VaryMinions). Fingerprint analysis reveals expertise in machine learning (100%), computer codes (75%), constraints (56%), neural networks (39%), and decision trees (37%). Notable projects include VeriLearn (2018-2022) verifying AI systems and SmartTune (2021-2025) for hyperparameter optimization. Recent publications (2023-2025) demonstrate consistent output in top venues like Empirical Software Engineering and Pattern Recognition. His h-index of 165 indicates significant scholarly impact. Academic activities include 6 oral presentations (2017-2020) on topics like adversarial configurations for software product lines and ML-enabled configurable systems. Supervised Work (2) suggests mentorship of junior researchers.

• Neuroscience
• Neurogenetics
• Olfactory System
• +۳ مورد دیگر

Ivan Rodriguez is a Full Professor at the University of Geneva's Faculty of Science, leading the Laboratory of Neurogenetics. His research focuses on understanding the molecular and cellular mechanisms underlying neural circuits governing innate behaviors in mammals, particularly through the olfactory and vomeronasal systems. His work combines genetic, physiological, and computational approaches, including the development of transgenic mouse models and single-cell technologies. Key projects include studying the claustrum’s role in memory and sensory integration, the evolution of chemoreceptors, and the impact of pathogens on neural behavior. Research Interests Dr. Rodriguez’s lab investigates neural circuits in the olfactory system, claustrum, and vomeronasal organ. Specific topics include: Neuronal coding and plasticity in sensory systems Genetic and molecular mechanisms of olfactory receptor choice Pathogen detection and immune-to-olfactory receptor evolution Claustrum function in memory and inter-areal communication Key Collaborations His team includes researchers such as Sabine Fièvre (Ambizione Fellow), Daniel Rossier, and Alan Carleton, focusing on projects like genetic tool development for the claustrum and SARS-CoV-2 entry mechanisms in olfactory tissues. Recent work highlights the claustrum’s critical role in working memory and long-term memory consolidation. Grants & Lab The laboratory employs advanced techniques like single-cell RNA sequencing and optogenetics. Current projects are supported by grants from Swiss National Science Foundation and EU funding, though specific grant details are not explicitly stated in the provided texts. Publications Recent contributions span Nature , Neuron , and Cell , with a focus on sensory systems, neural circuits, and evolutionary biology. Notable papers include studies on claustrum function, vomeronasal receptor evolution, and SARS-CoV-2 receptors in olfactory tissues.

Linxi Liuمشاهده پروفایل

استادیار

• Nonparametric Statistics
• Statistical Genetics
• Bayesian Statistics
• +۴ مورد دیگر

Linxi Liu is an Assistant Professor of Statistics at the University of Pittsburgh’s Dietrich School of Arts and Sciences, Department of Statistics, and serves as Seminar Coordinator. She previously held a Term-Assistant Professorship at Columbia University (2016–2020) and earned her Ph.D. in Statistics from Stanford University in 2016. Her research focuses on Nonparametric Statistics, Bayesian Methods, Multiple Hypothesis Testing, Statistical Machine Learning, and Statistical Genetics. These areas intersect computational methods with applications in genomics and causal inference, particularly in identifying causal variants in genome-wide association studies. Recent publications highlight contributions to Bayesian unsupervised tree models, knockoff-based methods for causal variant identification, and high-dimensional statistical testing. Her work bridges theoretical advancements with practical applications in biomedical research. Dr. Liu teaches a range of courses including Intermediate Probability, Statistical Computing, and Advanced Statistical Methods. Her CV and webpage provide additional details on her academic contributions and current projects.

Varghese Peterمشاهده پروفایل

مدرس

• Speech Perception
• Language Development
• Auditory Cognition
• +۳ مورد دیگر

Dr. Varghese Peter is a Lecturer in Psychology at the University of the Sunshine Coast's School of Health. He holds a PhD from Macquarie University and degrees from the University of Mysore in India. His research focuses on speech perception and language development in infants/children, auditory cognition, and neural oscillations in speech processing. Dr. Peter uses EEG, psychophysics, and linear neural encoding models to investigate how environmental and genetic factors influence language acquisition. He has held academic positions at Western Sydney University and Macquarie University. Education : PhD (Macquarie University), MSc (University of Mysore), BSc (University of Mysore) Affiliations : School of Health, Discipline of Psychology His research explores topics such as maternal input quality, bilingualism, and genetic risks (e.g., dyslexia) on speech development. He also studies auditory perception impairments in conditions like dyslexia and hearing loss. Dr. Peter has secured research grants including the $495,500 'Perceptual and cognitive optimisation of visual augmented reality displays' and the $20,000 'Effect of age and background noise on cortical EEG entrainment to natural conversation'. Awards : Vice Chancellors Excellence in Research Interdisciplinary Group Award (2020) Director of Research Award for Team Research (2019) Society for Neurobiology of Language Travel Award (2009) Teaching areas include Introduction to Psychology and Personality Assessment. His work bridges developmental neuroscience and clinical applications, with recent publications focusing on cortical entrainment in dyslexia and neural mechanisms of speech perception in infants.

• Breast Cancer Development
• Long Non-Coding RNAs
• Epithelial-Mesenchymal Transition
• +۴ مورد دیگر

Maria Perander is a Professor at the Department of Medical Biology at UiT The Arctic University of Norway , affiliated with the RNA and Molecular Pathology (RAMP) research group. Her research focuses on long non-coding RNAs (lncRNAs), particularly their roles in breast cancer development, therapy resistance, and cellular stress responses. Her work includes two key projects: (1) identifying lncRNAs regulating epithelial-mesenchymal transition (EMT) in breast cancer, and (2) studying the function of NEAT1 lncRNA and paraspeckles in stress responses. She uses RNA sequencing and experimental assays to investigate EMT-associated lncRNAs and their dysregulation in tumors. NEAT1’s role in heat shock responses and autophagy is a central theme, linking stress adaptation to cancer therapy resistance. Recent publications highlight her contributions to understanding EMT subtypes, NEAT1 isoform dynamics, and the interplay between inflammation and tumor progression. She collaborates extensively with groups like the RAMP team and the Breast Cancer-associated NEAT1 project. No awards are explicitly listed, but her prolific publication record underscores her research impact. Office: MH øst L9.251, Tromsø.

Koen van Benthemمشاهده پروفایل

استادیار

• Multiscale Eco-Evolutionary Processes
• Population Ecology
• Biostatistics
• +۳ مورد دیگر

Koen van Benthem is an Assistant Professor in the Faculty of Science and Engineering at the University of Groningen, affiliated with the Groningen Institute for Evolutionary Life Sciences. He leads the Van Benthem group, focusing on Data Science and Biostatistics. His research emphasizes multiscale eco-evolutionary processes and recovering individual-level insights from population data. He holds a PhD in population ecology from the University of Zurich and has prior experience at institutions including Bielefeld University. Education: BSc/MSc in Natural Sciences from Radboud University Nijmegen, followed by a PhD in Zurich. Teaching roles include coordinating Biostatistics II Big Data Management in Ecology and Evolution Quantitative Research Skills and contributing to Advanced Statistics and Biological Modelling courses. Research interests focus on: Multiscale interactions in ecological and evolutionary dynamics Individual heterogeneity and its population-level implications Applications of statistical and computational methods in ecology Recent articles explore topics like nonlinear averaging in population interactions, island biogeography of Asteraceae, and niche mechanisms. His work bridges theoretical models with empirical systems, such as fur seal density patterns and Arctic charr migration. He supervises student research projects and collaborates on grants like 'Teaching coding effectively through interactive formative assessments' (2023–2025). Labs/Teams: Leads the Van Benthem group, integrating data science and biostatistics into ecological research.

• Neurophysics
• Quantum Biology
• Biomedical Imaging
• +۶ مورد دیگر

Albrecht Haase is an Associate Professor in the Department of Physics at the University of Trento, Italy, and Head of the Neurophysics and Biophotonics Laboratory within the Center of Mind/Brain Sciences (CIMeC). His research focuses on neurophysics, quantum biology, and advanced imaging techniques applied to insect models. He holds habilitations in Experimental Physics (2016) and Applied Physics (2018). Education: PhD in Physics (2005), University of Heidelberg, Germany Diploma in Physics (2000), Freie Universität Berlin, Germany External Diploma Thesis at University of Innsbruck, Austria (1999–2000) Research Interests: Neurophysics, quantum biology, neural network dynamics, multiphoton microscopy, olfaction, magnetoreception, and insect sensory systems. He uses cutting-edge imaging tools to study odor coding, neuroplasticity, and the effects of pesticides on insect brains. Key Projects: Development of bioimaging facilities at CIMeC’s Manifattura campus, optogenetic manipulation of olfactory networks, and investigations into magnetic field perception in insects. His work bridges physics, neuroscience, and ecology. Professional Affiliations: German Physical Society (DPG), Italian Physical Society (SIF), Italian Society of Neuroscience (SINS), and bee research associations EurBee and COLOSS.

• Artificial Intelligence
• Evolutionary Computation
• Machine Learning
• +۵ مورد دیگر

Prof. Franz Rothlauf is a Professor of Information Systems at the University of Mainz, serving as Chief Information Officer (since 2016) and Academic Director of the Executive MBA program (since 2013). He holds a Diploma in Electrical Engineering from the University of Erlangen (1997), a Ph.D. in Information Systems from the University of Bayreuth (2001), and a Habilitation from the University of Mannheim (2007). His research focuses on metaheuristics, evolutionary computation, neural networks, and combinatorial optimization, with key contributions to genetic programming and algorithm design. He has authored influential books like Design of Modern Heuristics and Representations for Genetic and Evolutionary Algorithms . His professional roles include Editorial Board memberships for journals like Evolutionary Computation Journal and ACM Transactions on Evolutionary Learning and Optimization , and leadership in ACM SIGEVO, including serving as Chair since 2019. He has organized major conferences like GECCO 2009 and EvoWorkshops series, and his work spans algorithm design, optimization, and applications in healthcare and logistics. Key research trends include advancing evolutionary algorithms, symbolic regression, and anomaly detection in healthcare. His recent work explores AI-driven program synthesis and ethical AI. He has advised numerous graduate students and contributed to editorial and academic leadership roles, emphasizing interdisciplinary collaboration and innovation.