جست‌وجوی استاد و پژوهشگر

Martin Harterinkمشاهده پروفایل

پژوهشگر

• Neurobiology
• Cell Biology
• Biophysics
• +۳ مورد دیگر

Martin Harterink is a researcher in the Department of Biology at Utrecht University's Faculty of Science. His work focuses on unraveling the mechanisms that shape and organize neurons using the nematode C. elegans as a model organism. He leads an independent research group supported by an NWO-VENI postdoc grant, investigating the role of the neuronal cytoskeleton, particularly microtubule organization and motor protein dynamics. His research highlights include groundbreaking studies on microtubule polarity, axon/dendrite development, and intercellular signaling in neuronal robustness. Key collaborators include Casper Hoogenraad, Lukas Kapitein, and Anna Akhmanova, with whom he has co-authored multiple high-impact publications. PhD in C. elegans Wnt signaling (Hubrecht Institute) NWO-VENI grant recipient Leading C. elegans neurobiology research group Martin's team includes PhD students Lisa Anderer and Yaren Canten. His work integrates advanced genetic techniques and microscopy to study microtubule dynamics, with implications for understanding neurological disorders and cellular transport mechanisms.

• Remote Sensing
• Geospatial Sciences
• Environmental Science
• +۳ مورد دیگر

Dr. Barnali Das is a Teaching Assistant Professor in the Department of Geography and Geospatial Sciences at Kansas State University. Her research focuses on remote sensing applications in coastal and agricultural systems, with particular emphasis on mangrove dynamics, coral reef habitability, and crop yield forecasting. Her work spans three interrelated fields: Coastal ecology (mangrove carbon mapping, shoreline change analysis) Agricultural monitoring (soil moisture modeling for drought early warning, biophysical vs. agro-climatic predictors for crop yields) Geospatial science (machine learning for canopy parameter retrieval, cloud computing in environmental analysis) Recent publications highlight her expertise in: Marine ecosystem assessment (Andaman Islands, Arabian Sea) Coastal zone management (Maharashtra, Panama) Data-driven agriculture solutions (Sub-Saharan Africa) Her research demonstrates a commitment to interdisciplinary environmental science through advanced geospatial technologies.

Ann Larssonمشاهده پروفایل

مدرس ارشد

• Biohydrodynamics
• Marine Ecology
• Cold-Water Coral Biology
• +۴ مورد دیگر

Ann Larsson is a Senior Lecturer at the Department of Marine Sciences, University of Gothenburg. Her research focuses on biohydrodynamics, particularly how water flow influences marine organisms and their ecological interactions. Key projects include studies on olfactory navigation in Norway lobster, flow effects on barnacle settlement, and restoration of cold-water coral reefs. Current projects: Olfactory navigation in Norway lobster (Nephrops norvegicus), applications for creel fishery. Past work: Fouling-release coatings, sediment impacts on Lophelia pertusa, marine pollution mitigation. Research Interests: Biohydrodynamics, cold-water coral ecology, antifouling technology, and ocean acidification effects. Her work bridges fluid dynamics with marine conservation, emphasizing ecological interactions and sustainable solutions. Recent Publications: Contributions span topics like Desmophyllum pertusum embryonic survival under acidification, copper release rate optimization for antifouling, machine learning applications in marine image analysis, and flow regime impacts on coral larval behavior. Contact: Email: ann.larsson@marine.gu.se | Visiting address: Tjärnö 45296 Strömstad, Sweden.

Britta Trappmannمشاهده پروفایل

پژوهشگر

• biomaterials
• synthetic hydrogels
• cell-matrix interactions
• +۴ مورد دیگر

Britta Trappmann is a researcher at the Max Planck Institute for Molecular Biomedicine and a member of the Cells in Motion Cluster of Excellence. She leads the Bioactive Materials Laboratory , focusing on biomaterials , synthetic hydrogels , and the interplay between cell-matrix interactions and cellular mechanotransduction to understand angiogenesis and tissue engineering . Trappmann’s research develops synthetic extracellular matrices with tunable properties (mechanics, degradability, adhesiveness) to study cell migration , endothelial cell behavior , and vascular morphogenesis . Her work bridges biomedical engineering , cell biology , and materials science , emphasizing interdisciplinary collaboration. Her 15 most recent publications span angiogenesis (e.g., Adv Sci 2024, Nat Commun 2021), cell mechanotransduction (e.g., Angew Chem Int Ed 2006), and biomaterials engineering (e.g., Nat Mater 2012). These studies often employ 3D organotypic cell culture models and synthetic hydrogels to dissect how material properties influence cell behavior , including endothelial cell migration , collective cell dynamics , and vascular junction stability . Trappmann is a board member of the CiM-IMPRS Graduate Programme , mentoring junior scientists. Her lab utilizes advanced tools like spinning-disc microscopes to observe 3D cell migration in real-time and creates engineered tissue platforms for angiogenesis studies. She emphasizes translating basic research into medical applications , envisioning implantable artificial tissues .

Jorge Z. Torresمشاهده پروفایل

استاد

• Biochemistry
• Systems Biology
• Cell Division
• +۵ مورد دیگر

Jorge Z. Torres is a Professor at the University of California, Los Angeles (UCLA) in the Department of Chemistry & Biochemistry. His research focuses on mitotic spindle formation, ubiquitin ligases, and small molecule targeting for cancer therapy. Academic affiliation: UCLA Department of Chemistry & Biochemistry Research areas: Cell division, Systems biology, Chemical biology Research Interests: The Torres lab investigates mitotic spindle assembly mechanisms, disease-linked ubiquitin ligases, and chemical screens for cell division inhibitors. Key work includes proteomic analyses of spindle proteins, characterization of microtubule-associated enzymes, and development of software tools like CANVS for interaction data visualization. Publication Trends: Recent articles emphasize spindle assembly regulation (2025), cilia length modulation (2024), and biochemical mechanisms of ubiquitination (2023). Earlier work covers phospho-regulation (2020), phase separation (2020), and comprehensive reviews on katanin family proteins (2021) and Plk1 inhibition strategies. Lab Activities: The lab develops chemical inhibitors (e.g., MI-181, Leusin-1) using virtual screening and pharmacophore modeling. Techniques include human cell lines, in vitro systems, and multi-omics approaches to map protein interactions and drug effects.

Shijiao Huangمشاهده پروفایل

استادیار

• Aging Biology
• Neural Signaling
• Pharmacological Interventions for Age-Related Diseases
• +۳ مورد دیگر

Dr. Shijiao Huang is an Assistant Professor at the Department of Biochemistry and Molecular Biophysics, Kansas State University . Her research focuses on understanding how neural signaling modulates aging and health , with a particular emphasis on pharmacological interventions for age-related diseases like cancer. She employs multidisciplinary approaches including molecular biology, genetics, neuroscience , and biochemistry using C. elegans and cell culture models. Education: B.S. in Biology, Nanchang University (2005) Ph.D. in Cell Biology, Peking University (2012) Her work explores the role of neural environmental cues in physiological health, stress resistance, and metabolic longevity. She has contributed to studies on C. elegans aging, Golgi dynamics, and pharmacological tools for longevity research. Scientific Awards include the Midwest Aging Consortium Symposium Travel Award (2023), Best Poster Awards at Midwest C. elegans meetings (2019, 2023), and recognition as a Postdoc180 Finalist (2019). Dr. Huang’s lab is based in Chalmers Hall, Room 66 , and she collaborates with institutions like the Leiser Lab and Midwest Aging Consortium . Contact: shijiaoh@ksu.edu

• Machine Learning
• Natural Language Processing
• Quantum Computing
• +۳ مورد دیگر

Shivam Adarsh is a PhD Fellow in the Machine Learning section at the University of Copenhagen's Department of Computer Science (DIKU), actively contributing to the SCIENCE AI Centre. Based at Universitetsparken 1 in Copenhagen, he engages in interdisciplinary research spanning theoretical foundations and real-world applications of artificial intelligence. His research focuses on Machine Learning, Natural Language Processing, Quantum Computing, Medical Image Analysis, Sustainability Applications, and Remote Sensing. Key projects include cross-cultural recipe adaptation using Retrieval-Augmented Generation, emotion-aware conversational AI, quantum-enhanced biomolecular simulations, and environmentally sustainable AI development. His work bridges computational theory with practical implementations in healthcare, environmental monitoring, and cultural systems. Analysis of his 2025 publications reveals dominant themes in Natural Language Processing (35% of works) and Quantum Computing (27%), with significant emphasis on Explainable AI and Medical Applications. His research consistently integrates multiple disciplines—such as combining quantum algorithms with drug discovery or embedding cultural diversity metrics into recommendation systems—demonstrating a systems-thinking approach to complex problems. As part of DIKU's Machine Learning group led by Professor Yevgeny Seldin, he utilizes the department's powerful compute cluster and participates in the TreeSense Centre for Remote Sensing and Deep Learning of Global Tree Resources. The group's collaborative environment spans medical data analysis, sustainability modeling, and biological data interpretation, with strong ties to Denmark's national AI initiatives.

• Biophysics
• Biomedical Engineering
• Spectroscopy
• +۳ مورد دیگر

Dr. Caroline Smith is a researcher affiliated with the University of Manchester , working within the School of Chemistry and Department of Chemical Engineering . Her work focuses on biophysics, biomedical engineering, and spectroscopy, particularly in cancer research applications. Collaborated with Professor N S Scrutton, Dr R L Williams, and others Received research grants from BBSRC and EPSRC Professional memberships: European Society for Biomaterials, Society of Chemical Industry, Royal Society of Chemistry Her research involves advanced optical and infrared imaging techniques, machine learning for cancer diagnostics, and biophysical studies of tissue properties in oral squamous cell carcinoma. Recent publications (2022-2024) demonstrate expertise in FTIR spectroscopy, photothermal imaging, and image fusion technologies applied to cancer diagnostics and prognosis prediction. She has contributed to interdisciplinary collaborations spanning chemical engineering, medicine, and data science, with a focus on developing novel tools for biological redox chemistry and biomedical implant studies.

Joseph Bakerمشاهده پروفایل

استاد

• Computational Biochemistry
• Molecular Dynamics Simulations
• Biophysics
• +۳ مورد دیگر

Joseph Baker is a Professor of Chemistry at The College of New Jersey (TCNJ), where he leads the Baker Computational Chemistry Lab within the School of Science. His research focuses on Computational Biochemistry , Molecular Dynamics Simulations , and Biophysics , with an emphasis on bacterial adhesion pili, protein structure-function relationships, and High Performance Computing (ELSA Cluster) . He earned his Ph.D. in Physics from the University of Arizona in 2011. Research Interests : Computational modeling of biomolecular systems, protein mechanics, bacterial surface structures, AI-driven peptide design, and biomechanical stability. Recent Trends : His 2025–2024 publications highlight collaborations with students on histatin-5 interactions, SARS-CoV-2 nanobodies, and force-induced pilus dynamics using tools like ProteinMPNN and Martini coarse-grained simulations. Scientific Recognition includes multiple MUSE Awards , the Barbara Meyers Pelson Award , and the American Chemical Society Outreach Volunteer of the Year Award . He mentors undergraduate and graduate students, including Giovanny Parada , and has secured over $2 million in grants from NSF , NASA , and NIH to study protein resilience and enhance computational infrastructure.

• Mathematical Biology
• Computational Biology
• Fluid Mechanics
• +۶ مورد دیگر

Dr. Katerina Kaouri is a Reader (Associate Professor) in Applied Mathematics at Cardiff University's School of Mathematics, serving as the departmental Director for Impact and Engagement. She specializes in mathematical and computational biology, with a focus on calcium signaling in embryogenesis, epidemic modeling for airborne transmission, and industrial mathematics applications. Developed pandemic response models for Welsh Government (2020-2021) Lead GW4's inFer academia-clinic network for IVF improvement Co-founded Mediterranean Science Festival and SciCo Cyprus Research Interests: Her work bridges deterministic/stochastic modeling with real-world challenges across biology, engineering, and public health. Key projects include: Epidemic simulator development with Oxford University Mechanochemical modeling of calcium dynamics in IVF Non-Newtonian blood flow drug delivery simulations Environmental physics models for pandemic mitigation Recent Article Trends: Her 2022-2025 publications demonstrate convergence of: Computational epidemiology (airborne transmission modeling) Reproductive medicine (AI applications in ART labs) Biomechanics (apical constriction, viscoelastic coupling) Environmental engineering (windcatcher ventilation systems) Scientific Awards: Cardiff University Outstanding Contribution Awards (2022, 2019) 2023 Cardiff Excellence Awards Finalist (Innovation & Enterprise) 2021 Cyprus Madame Figaro Woman of the Year nominee Supervision: Currently mentoring 3 PhD students and multiple MMath/MSc researchers with international collaborators including Oxford, Nottingham, Barcelona, and Pittsburgh universities.

Stefan Mogkمشاهده پروفایل

مدرس پزشکی

• Parasitology
• Molecular Biology
• Medical Education
• +۳ مورد دیگر

Dr. Stefan Mogk is a Medical Educator and Study Coordinator for Biochemistry in Medicine at the University of Tübingen's Faculty of Medicine. He has a long-standing research focus on African trypanosomes and their mechanisms of central nervous system invasion, particularly related to sleeping sickness pathogenesis. Teaches biochemistry courses for human/dental medicine students Active research on parasitic disease transmission Recipient of 2023 Teaching Award His research combines molecular parasitology with medical education, focusing on: Mechanisms of blood-brain barrier crossing by trypanosomes Host-pathogen interactions in tropical diseases Competency-based medical curriculum development Scientific publications reveal consistent contributions to understanding: Trypanosome neuroinvasion pathways Biochemical education for medical students Structural biology of parasitic proteins His team has published extensively on parasitic diseases and educational methodologies, with recent work in 2025 focusing on brain infection mechanisms. 2023 Teaching Award from Faculty of Medicine Guest Editor for 2023 special issue on Host-Pathogen Interactions at Blood-Brain Barriers Dr. Mogk supervises students in laboratory rotations and thesis projects, with recent alumni working on: Trypanosome transmigration efficiency Parasitic effects on neurological systems Biocompatibility testing methods

Louis Rossiمشاهده پروفایل

استاد

• Applied Mathematics
• Numerical Methods
• Computational Fluid Dynamics
• +۳ مورد دیگر

Louis Rossi is a Professor and the inaugural Dean of the University of Delaware Graduate College, affiliated with the Department of Mathematical Sciences in the College of Arts & Sciences. His research focuses on numerical methods, computational fluid dynamics, and swarm dynamics, with applications to fluid flows, ecological systems, wireless networks, and robotics. He has advised students such as Riu Fang, Zhenyu He, and Claudio Torres in these domains. Research interests span mathematical biology, environmental modeling, network protocols, and control systems. Notable projects include modeling predator-prey interactions, optimizing wireless sensor networks, and analyzing information transfer in swarms. Rossi has developed computational tools like BlobFlow for fluid simulations and contributed to slime mold-inspired routing algorithms for sensor networks. His educational efforts include organizing international study programs, such as a mathematical modeling trip to Melbourne, and enhancing foundational math courses. Rossi’s work bridges theoretical mathematics with practical applications, emphasizing interdisciplinary collaboration and computational innovation.

Paul Campagnolaمشاهده پروفایل

عضو هیئت علمی

• Biomedical Engineering
• Cell Biology
• Medical Imaging
• +۳ مورد دیگر

Paul Campagnola is an Affiliated Professor in the Department of Physics at the University of Wisconsin-Madison. His research focuses on advanced optical imaging techniques, particularly second harmonic generation (SHG) microscopy, to study collagen architecture alterations in diseases such as ovarian cancer, idiopathic pulmonary fibrosis, and lichen sclerosus. He specializes in developing biomimetic models and computational tools to analyze extracellular matrix dynamics and cell-matrix interactions. His work bridges physics, biomedical engineering, and oncology, emphasizing translational applications in diagnostics and therapeutics. Education: No explicit education details provided. Research Interests: Optical microscopy innovations for biomedical applications Collagen structure analysis in disease progression 3D tissue imaging and modeling Machine learning for image data interpretation Recent Research Trends: Recent articles emphasize SHG imaging applications in cancer pathology, fibrotic diseases, and biomaterials. Studies highlight collagen's role as both a structural and functional biomarker, with focus on computational modeling and multiscale imaging techniques. Grants & Advising: No grants or advisees explicitly listed. Active in interdisciplinary collaborations involving physics, engineering, and clinical medicine. Labs & Teams: Engaged in tissue engineering and biophotonics research groups, though specific lab affiliations are not detailed in provided text.

• Nanostructure Physics
• Biomedical Engineering
• Biophysics
• +۳ مورد دیگر

Ornella Cavalleri is an Associate Professor at the University of Genoa's Department of Physics for Life Sciences, Environment and Cultural Heritage. She holds roles in academic governance, including President of the Joint Commission of Teachers and Students, and Director of the Graduate School. Her research focuses on bio-organic nanostructures, nanosystems physics, and protein aggregation, with a particular emphasis on biomedical applications like boron neutron capture therapy for glioblastoma. She leads the OptMatLab research group and teaches courses in physics, biophysics, and medical physics across undergraduate and graduate programs in Pharmacy, Dental Surgery, Biology, and Physics. Her educational contributions include courses such as FISICA CON ELEMENTI DI FISICA MEDICA (Medical Physics Elements) and BIOFISICA (Biophysics) for Pharmacy and Physics degree programs. Cavalleri’s work integrates advanced microscopy techniques (AFM, SEM, XPS) with spectroscopic ellipsometry to investigate biomaterial interfaces, nanolithography, and molecular interactions. Key research themes include developing biomimetic vesicles for targeted cancer therapy and studying protein-DNA interactions at nanoscale interfaces. Recent publications highlight advancements in boron-loaded bio-vesicles for glioblastoma treatment, AFM-based nanolithography for biosensor design, and osteointegration of porous niobium oxides. Her interdisciplinary approach bridges physics, biology, and engineering, with applications in oncology, biomaterials, and diagnostic tools. Despite no explicitly listed awards, her extensive publication record reflects significant contributions to nanomedicine and biophysical instrumentation.

Xiaokun Shuمشاهده پروفایل

استاد

• Physical Biology
• Chemical Biology
• Structural Biology
• +۴ مورد دیگر

Xiaokun Shu is a Professor in the Department of Pharmaceutical Chemistry at the University of California, San Francisco (UCSF), School of Pharmacy. His research focuses on designing tools for visualizing and manipulating dynamic cell signaling in vivo, with applications in understanding biological processes and developing therapeutics. He leads the Shu Lab, which integrates physics, chemistry, and engineering to create novel fluorescent reporters and biological tools. Education: PhD in Biophysics (University of Oregon, 2007), MS in Computational Physics (Fudan University, 2003), BS in Theoretical Physics (Sichuan University, 2000). Research interests include physical biology, chemical biology, protein engineering, and drug discovery. The lab develops tools like fluorescent reporters for proteases, kinases, and protein interactions, as well as singlet oxygen-based technologies for proximity labeling and cell ablation. These tools are applied to study developmental biology, cancer, and viral infections (e.g., SARS-CoV-2). Key achievements include the NIH Director's New Innovator Award (2012), tenure at UCSF, and leadership in NIH-funded projects. His work has been published in top journals like Nature , Cell , and Science . Grants include NIH R01 and U01 grants for studying phase separation, kinase signaling, and protease activity. Collaborations span academic and industry partners, with tools shared via Addgene and other repositories. The Shu Lab emphasizes interdisciplinary approaches and fun-driven scientific exploration, inspired by Richard Feynman's philosophy.