جست‌وجوی استاد و پژوهشگر

Xiaoqing Tangمشاهده پروفایل

استاد

• Diabetes Research
• MicroRNA Biology
• Pancreatic Beta-Cell Function
• +۴ مورد دیگر

Dr. Xiaoqing Tang is a Professor in the Department of Biological Sciences at Michigan Technological University (MTU) and serves as the Graduate Program Director for the Biological Sciences program. He holds a PhD from the Weizmann Institute of Science (Israel, 2003). His research focuses on the role of microRNAs (miRNAs) in pancreatic beta-cell function and diabetes pathogenesis, with a particular emphasis on miRNA regulation of insulin production/secretion and diabetes biomarker discovery. He has pioneered high-throughput miRNA array technologies and developed novel miRNA-based therapies for diabetes. Dr. Tang's lab investigates miRNA-mediated control of beta-cell identity, glucose responsiveness, and diabetic complications. Key areas include miRNA's role in beta-cell dedifferentiation, ALDH1A3 targeting, and MAP4K4 regulation. His work integrates molecular biology, bioengineering (e.g., composite bioadhesives), and systems biology approaches. He teaches advanced courses in genomics, molecular diagnostics, and biochemistry laboratory techniques. Notable contributions include identifying miR-30d and miR-483 as critical regulators of beta-cell function, discovering blueberry's protective effects on beta-cells in obesity models, and developing STTM (short tandem target mimic) technology for miRNA inhibition. Current efforts focus on translating miRNA discoveries into diagnostic tools and therapeutic strategies for diabetes. Dr. Tang actively mentors graduate students through MTU's Accelerated MS Program and collaborates on projects involving miRNA profiling in diabetic mouse models. His research has been published in journals like Non-Coding RNA , Biophysical Journal , and Endocrinology , with over 60 peer-reviewed articles to date.

• Data Science
• Healthcare Informatics
• Artificial Intelligence
• +۳ مورد دیگر

Xin Li is affiliated with Duke Kunshan University's Data Science Research Center, where they hold the role of Researcher. Their work focuses on interdisciplinary applications of data science and artificial intelligence, including healthcare informatics, autonomous systems, and medical decision support. Research interests span healthcare technology (stroke rehabilitation decision systems, medical imaging analysis), transportation (autonomous driving perception, vehicle scheduling), and computer vision (object detection, image segmentation). Notable contributions include developing interpretable decision support frameworks for critical-care rehabilitation and improving pothole detection algorithms for autonomous vehicles. Recent publications emphasize deep learning applications in time series analysis (power data evaluation), medical diagnostics (MRI-based liver function assessment), and agricultural monitoring (disease detection via drone imagery). Ongoing work explores reinforcement learning for multi-agent systems and wearable health technologies.

Shue Wangمشاهده پروفایل

استادیار

• Biosensors
• Single Cell Analysis
• Regenerative Medicine
• +۵ مورد دیگر

Dr. Shue Wang is an Assistant Professor and Interim Program Coordinator for Biomedical Engineering at the Tagliatela College of Engineering, University of New Haven. She holds a Ph.D. in Mechanical Engineering from the University of Arizona and conducted postdoctoral research at the University of Michigan. Her research focuses on biosensors, single-cell analysis, regenerative medicine, and tissue engineering, with a particular emphasis on applying micro-engineered tools to study biological systems at molecular and cellular levels. She leads the Wang Lab and is associated with the Biomaterials & Medical Device Innovation Laboratory (BMD iLab). Education: Postdoctoral Researcher, University of Michigan, Ann Arbor, MI Ph.D. in Mechanical Engineering, University of Arizona, Tucson, AZ B.S. in Electrical and Computer Engineering, Liaoning Technical University, China Research interests include: Biosensor development for real-time gene expression monitoring Single-cell analysis in microvascular systems Notch signaling and mechanobiology in angiogenesis 3D biomimetic environments for tissue engineering Lab-on-a-chip technologies Publications span high-impact journals such as Advanced Materials , Biomaterials , and Nature Communications , reflecting her expertise in nanobiosensors and mechanoregulation of tissue morphogenesis. Her work bridges engineering and biology to advance regenerative medicine and biomedical innovation.

Muad Abd El Hayمشاهده پروفایل

پژوهشگر

• Neuroscience
• Sensory Biology
• Cell Biology
• +۳ مورد دیگر

Muad Abd El Hay is a Researcher in the Havenith & Schölvinck Lab at Goethe University Frankfurt. His work focuses on sensory systems, temperature detection mechanisms, and neural circuits underlying internal state perception in animals. He specializes in developing neurotechnological tools like the DREAM Implant for chronic electrophysiological studies in mice. Research interests include cross-species facial feature analysis for behavioral insights, TRPV1/TRPM2 channel roles in thermoregulation, and immunological mechanisms in adipocytes and streptococcal infections. His lab develops innovative experimental platforms to study pain pathways and neural coding of sensory experiences. Recent studies highlight advancements in stem cell-derived sensory neuron models for mechanotransduction research, synaptic temperature sensor mechanisms, and molecular pathways in inflammatory responses. Collaborative work bridges neuroscience and biomedical engineering to address translational challenges in sensory biology.

Terhi Heinoمشاهده پروفایل

استاد مدعو

• Regenerative Medicine
• Cell Biology
• Bone Tissue Engineering
• +۷ مورد دیگر

Terhi Heino is an Adjunct Professor (Docent) and University Lecturer in Cell Biology at the Institute of Biomedicine, University of Turku, Finland. She holds dual roles in teaching and research within the Faculty of Medicine. Her research focuses on mesenchymal stromal cells (MSCs), bone and vascular biology, biomaterials, and translational regenerative medicine applications. She has a PhD in Cell Biology (2005, University of Turku) and postdoctoral training at the Karolinska Institutet (Sweden). She became a Docent in Cell Biology in 2013. Her teaching spans histology, cell biology, pharmacology, and regenerative medicine at undergraduate and postgraduate levels, with international experience in Sweden and EU-funded interdisciplinary projects. Education: PhD in Cell Biology, University of Turku (2005) Postdoctoral Training, Karolinska Institutet (Sweden), 2006–2007 Docent Title in Cell Biology, University of Turku (2013) Pedagogic Qualification, Faculty of Education, University of Turku (2009–2014) Research Interests: Stem cell biology, biomaterial-cell interactions, osteogenesis, angiogenesis, bioactive materials, and translational regenerative medicine applications. Her research group investigates MSC differentiation pathways, bioactive materials for bone healing, and immunomodulatory effects of biomaterials. Recent studies include bioactive glass effects on macrophages and Rcor2 regulation in MSC differentiation. Teaching contributions include curriculum development, mentorship in biomedical programs, and international entrepreneurship education projects. She actively collaborates with multidisciplinary teams in Finland and Sweden. Publications highlight advancements in biomaterial characterization, molecular mechanisms in bone healing, and interdisciplinary approaches to musculoskeletal research. No scientific awards explicitly mentioned, though her work reflects sustained academic contributions.

• Neuroscience
• Pharmacology
• Toxicology
• +۳ مورد دیگر

Cosar Uzun is a Researcher in the Department of Physiology and Pharmacology. His work spans interdisciplinary research in neuroscience, toxicology, and biomedical engineering, with a focus on rodent models, electromagnetic field effects, and wound healing mechanisms. He has contributed to understanding the role of KATP channels in cytotoxicity, the efficacy of plant extracts in diabetic wound management, and the biomechanical properties of tendon repair. Research interests include: Neurobehavioral analysis in anxiety models Electromagnetic radiation's impact on neurogenesis and gene expression Pharmacological interventions in allergic asthma and bone metabolism Comparative efficacy of electromagnetic therapies in nerve and tendon injuries His articles reveal a trend toward translational research bridging basic science and clinical applications, particularly in regenerative medicine and environmental toxicology. Ongoing work explores miRNA biomarkers in electromagnetic exposure and the biomechanics of soft tissue repair. No academic awards or grants are mentioned in the provided texts. Advising activities are not listed.

Meghan E. Hermanceمشاهده پروفایل

استادیار

• Vector Biology
• Arboviruses
• Tick-Borne Diseases
• +۵ مورد دیگر

Dr. Meghan E. Hermance is an Assistant Professor and Associate Director of the Laboratory of Infectious Diseases (LID) in the Department of Microbiology and Immunology at the University of South Alabama’s College of Medicine. Her research focuses on vector biology, particularly arthropod-borne viruses (arboviruses), with emphasis on tick-borne pathogens like Powassan virus, Heartland virus, and Deer tick virus. Dr. Hermance holds a Baccalaureate Degree from Texas A&M University and a Ph.D. from The University of Texas Medical Branch. Her work integrates tick-host-virus models to investigate transmission dynamics, immunomodulation at the skin interface, and neurotropic virus pathogenesis. She leads studies on the invasive Asian Longhorned tick ( Haemaphysalis longicornis ), assessing its capacity to transmit North American arboviruses and exploring co-feeding transmission mechanisms. Research highlights include developing small animal models for tick-borne virus pathogenesis, elucidating salivary protein roles in virus transmission, and investigating neuroinvasion pathways in flavivirus infections. Her lab utilizes state-of-the-art biocontainment facilities (ACL-2/3) for vector competence studies and aims to develop transmission-blocking vaccines targeting tick salivary proteins. Key contributions include identifying tick saliva’s role in facilitating viral neuroinvasion and pioneering community-engaged tick surveillance tools like tickMAP. Ongoing projects focus on transovarial transmission mechanisms and public health strategies to mitigate emerging tick-borne diseases.

• Evolutionary Algorithms
• Genetic Programming
• Semantic-Based Genetic Programming
• +۷ مورد دیگر

Dr. Edgar Galván is an Associate Professor in the Department of Computer Science at Maynooth University, Faculty of Science & Engineering. He holds a PhD in Computer Science from the University of Essex and has held senior research roles at institutions like University College Dublin and Trinity College Dublin. His research focuses on Evolutionary Algorithms, Genetic Programming, and their applications in optimization, games, and circular economy challenges. Education : PhD in Computer Science, University of Essex MSc (Hons) in Artificial Intelligence (Research), University of Veracruz BSc (Hons) in Computer Science, University of Veracruz Research Interests : Dr. Galván pioneers work in semantic-based Genetic Programming, neutrality and locality in evolutionary algorithms, and applications in combinatorial optimization and energy systems. He also explores AI-driven solutions for the circular economy, including material reuse and policy design. Grants & Projects : REBUILD (€449,879): Reimagining buildings as material banks for the circular economy (2024–2027) VISION (€149,874): Circular business models to reduce virgin material use in construction (2023–2026) Stochastic Bio-inspired Evolutionary Algorithms (€267,000): Dynamic optimization problems (2014–2017) Awards : Top 1% of researchers in Genetic Programming (UCL, 2020) Elected member of Mexico’s National Research System (2015) Marie Curie Fellowship (Irish Research Council, 2014) Professional Activities : Chair of ACM Genetic and Evolutionary Computation Conference committees, Programme Committee member for IEEE Congress on Evolutionary Computation, and Scientific Adviser for research councils in Ireland, France, and Mexico.

Tobias Moserمشاهده پروفایل

استاد

• Auditory Neuroscience
• Synaptic Physiology
• Neuroprosthetics
• +۵ مورد دیگر

Professor Tobias Moser is a leading neuroscientist and clinician-scientist at the University Medical Center Göttingen, where he serves as Director of the Institute for Auditory Neuroscience. He also leads research groups at the German Primate Center and the Max Planck Institute for Multidisciplinary Sciences, focusing on synaptic coding in the auditory system and innovative hearing restoration techniques like optogenetic cochlear implants and gene therapy. Education: MD from University of Jena (1995), postdoc training with Erwin Neher at Max Planck Institute for Biophysical Chemistry (1994-1997) Clinical training: Residency in Otolaryngology at University of Göttingen Medical Center His research bridges molecular neurophysiology and clinical translation, with a focus on hair cell ribbon synapses and their role in auditory coding. He pioneered the concept of auditory synaptopathy and developed advanced imaging and modeling approaches in collaboration with experts in nanobiophotonics and theoretical neurophysics. Scientific awards include the Heisenberg Fellowship (DFG) and INHABIT Artist-in-Residence. He is also a Spokesperson for the Multiscale Bioimaging Cluster of Excellence (MBExC) and the Else Kröner Fresenius Center for Optogenetic Therapies. His group has produced numerous high-impact publications in journals like Nature , Science Translational Medicine , and Nature Neuroscience . Prof. Moser's work exemplifies interdisciplinary collaboration, integrating molecular physiology, clinical audiology, and computational modeling. His InnerEarLab at Göttingen Campus remains a hub for auditory neuroscience research, training the next generation of scientists while advancing therapies for hearing disorders.

• Age-related macular degeneration
• Genetic epidemiology
• Ophthalmic genetics
• +۴ مورد دیگر

Johanna Margaret Seddon, MD, ScM, is a Professor at UMass Chan Medical School, holding multiple appointments across the T.H. Chan School of Medicine in the Department of Ophthalmology and Visual Sciences, Department of Population and Quantitative Health Sciences, and at the Morningside Graduate School of Biomedical Sciences in the Departments of Masters in Clinical Investigation, MD/PhD Program, and Population Health Sciences. University of Pittsburgh: BS in Chemistry/Physics Harvard University School of Public Health: MS in Epidemiology University of Pittsburgh School of Medicine: MD Dr. Seddon is a leading researcher in age-related macular degeneration (AMD), with a research focus spanning genetic epidemiology, complement system involvement in eye disease, nutritional factors affecting eye health, and development of risk prediction models. Her work integrates genomic data with clinical and imaging biomarkers to understand AMD progression and develop personalized prevention strategies. She has pioneered research on the role of rare genetic variants in complement pathway genes and their interaction with environmental factors in determining AMD risk. Analysis of her recent publications reveals a strong emphasis on integrating genetic, imaging, and clinical data to develop predictive models for AMD progression. Her research increasingly incorporates advanced computational methods including deep learning for retinal image analysis and sophisticated statistical approaches for risk prediction with hierarchical data structures. Her work spans basic science investigations of complement pathway genetics through to clinical applications of risk prediction models and preventive strategies. Development of AMD risk prediction algorithms incorporating genetic, demographic, and lifestyle factors Investigation of rare genetic variants in complement pathway genes (CFH, CFI, C4A) Analysis of nutritional factors and their interaction with genetic susceptibility in AMD Development of screening tools for AMD risk assessment Application of AI and deep learning to retinal imaging analysis Dr. Seddon's research has significant implications for personalized medicine approaches to AMD prevention and management, with potential to transform clinical practice through genetically-informed risk stratification and targeted interventions.

• Genetics
• Molecular Biology
• Computational Biology
• +۳ مورد دیگر

Daniel P Higgins is a Lecturer at the T.H. Chan School of Medicine, UMass Chan Medical School, affiliated with the Program in Molecular Medicine. His research bridges computational biology and molecular genetics, focusing on stress response mechanisms and gene regulation. Education: Bachelor of Arts in Computer Science, Assumption College Master of Science in Computer Science, Georgia Institute of Technology Dr. Higgins’s work centers on leveraging computational tools to study genetic networks and metabolic pathways , particularly in Caenorhabditis elegans . His recent studies examine oxidative stress adaptation, S-adenosylmethionine (SAM) metabolism, and mitochondrial function. He developed the WormCat platform for genome-scale data analysis, advancing functional annotation in nematode genetics. The most recent publications highlight a focus on transcriptional regulation , GPCR signaling , and phosphatidylcholine-mitochondria interplay . His earlier work established foundational insights into SAM-dependent stress responses. Networks & Collaborations: Dr. Higgins collaborates with researchers like Amy Walker and Read Pukkila-Worley, contributing to interdisciplinary studies in systems biology. His work intersects with concepts such as genome annotation , molecular signaling , and bioinformatic tools .

Lynne E. Maquatمشاهده پروفایل

استاد

• RNA Biology
• Molecular Biology
• Genetics
• +۳ مورد دیگر

Lynne E. Maquat, Ph.D., is the J. Lowell Orbison Endowed Chair and Professor of Biochemistry & Biophysics at the University of Rochester School of Medicine and Dentistry (SMD). She serves as Founding Director of the Center for RNA Biology and holds appointments in Pediatrics and Oncology. Her research focuses on RNA metabolism, particularly nonsense-mediated mRNA decay (NMD), which she discovered in 1981. Maquat is a leading expert on mRNA surveillance mechanisms, including the pioneer round of translation and the role of EJC complexes. She earned her Ph.D. in Biochemistry from the University of Wisconsin-Madison (1979) and a B.A. in Biology from the University of Connecticut (1974). Her work has been recognized with numerous awards, including the Wolf Prize in Medicine (2021), Gruber Genetics Prize (2023), and Albany Prize in Medicine (2024). She is a member of the National Academy of Sciences and National Academy of Medicine. Her lab explores NMD’s role in diseases like Fragile X Syndrome and develops therapies targeting mRNA decay pathways. Key projects include studying EJC heterogeneity regulated by AKT signaling and defining mechanisms of microRNA degradation via Tudor-SN. The lab also investigates the functional roles of SINE elements and lncRNAs in post-transcriptional regulation.

• Transcriptional Genomics
• Genomic Technologies
• Chromatin Regulation
• +۴ مورد دیگر

Peggy Farnham, PhD, is the William M. Keck Professor of Biochemistry and Professor of Cancer Biology at the Keck School of Medicine of the University of Southern California (USC). She previously held roles at the University of Wisconsin-Madison and UC Davis. Her research focuses on chromatin regulation, transcription factor binding, and genomic technologies, with leadership in the ENCODE and PsychENCODE consortia. Dr. Farnham’s work has advanced understanding of epigenetic mechanisms in cancer and neurodevelopmental disorders. Education: Bachelor’s degree from Rice University, PhD from Yale University, postdoctoral training at Stanford University. Research Interests: Transcriptional genomics, genomic technologies, chromatin regulation, and their roles in cancer and disease. Key projects include ENCODE (encyclopedia of DNA elements) and NIH Roadmap Reference Epigenome Mapping Center initiatives. Publications: Over 300 peer-reviewed articles, including seminal work on ZFX transcription factors, epigenetic engineering, and cancer genomics. Recent studies explore mechanisms of chemoresistance, cisplatin resistance in bladder cancer, and 3D epigenomic mapping in prostate cancer. Awards: AAAS Fellow (2010), ASBMB Herbert A. Sober Award (2012). Labs/Teams: Director of the Farnham Lab, collaborating on projects in the ENCODE consortium and PsychENCODE. Active in training the next generation of genomic researchers.

Saurabh Sinhaمشاهده پروفایل

استاد مدعو

• Bioinformatics
• Genomics
• Regulatory DNA Analysis
• +۵ مورد دیگر

Saurabh Sinha is the Wallace H. Coulter Distinguished Chair in Biomedical Engineering and an Adjunct Professor at Georgia Institute of Technology's School of Computational Science and Engineering. His research focuses on computational methods to decipher how DNA encodes biological properties, particularly through regulatory DNA analysis using machine learning and statistical physics. He co-leads the NIH-funded KnowEng data platform and the NSF AI Institute for Chemical Synthesis (MoleculeMaker.org). Roles: Adjunct Professor (Biomedical Engineering), Wallace H. Coulter Chair Affiliations: Georgia Tech's School of Computational Science and Engineering, NSF AI Institute for Chemical Synthesis Research interests include regulatory DNA's role in embryonic development, cancer progression, and social behavior. Recent work addresses multi-omics integration, spatial transcriptomics, and AI-driven causal inference in omics data. Tools developed include CellSP, InSTAnT, and KnowEng. His work bridges computational methods and biological systems, with applications in precision medicine and synthetic biology. Projects include identifying non-coding DNA variants linked to disease and developing algorithms for tumor microenvironment analysis. Awards: Wallace H. Coulter Distinguished Chair appointment Advising and grants: Led over 30 researchers in KnowEng; co-PI of NSF AI Institute. Collaborations span genomics, oncology, and systems biology. Current efforts focus on spatial omics and multi-omics integration to understand disease mechanisms.

Joanne M. O'Mearaمشاهده پروفایل

استاد

• X-ray Fluorescence (XRF) Systems
• Elemental Body Composition
• Planetary Surface Exploration
• +۵ مورد دیگر

Joanne M. O'Meara is a Professor in the Department of Physics at the University of Guelph, where she holds full Professor rank and has been since 2002. She also maintains adjunct faculty status at McMaster University. Her research focuses on designing X-ray fluorescence (XRF) systems for in vivo elemental body composition measurements, with applications in occupational health and planetary science. She co-founded Royal City Science , a nonprofit dedicated to enhancing community science programming and building a local science center. Education: O’Meara earned her PhD in Physics from McMaster University (1999), followed by postdoctoral roles at MIT and Tufts University. She transitioned to academia as an Assistant Professor at McMaster before moving to the University of Guelph. Research Themes: Optimal design of XRF systems, water content analysis in Martian soils via Spirit rover data, and collaborations on strontium in bone for osteoporosis treatment. She has developed a Monte Carlo photon transport code to model XRF interactions in biological tissues and planetary materials. Awards: 2019 3M National Teaching Fellow, 2011 Medal for Excellence in Undergraduate Teaching (Canadian Association of Physicists). She has contributed to science education through roles like Editor of Science Corner in the Guelph Mercury (2017–2019), STEM Week coordinator, and curriculum committee member. Outreach & Media: Active in science communication through public lectures, articles, and partnerships. Her work bridges academia and community engagement, emphasizing accessible science education and public understanding of physics.