جست‌وجوی استاد و پژوهشگر

Jennifer Rossمشاهده پروفایل

استاد

• Biophysics
• Soft Matter Physics
• Biological Condensed Matter Physics
• +۵ مورد دیگر

Jennifer Ross is a Professor of Physics and Associate Dean for Creativity, Scholarship, and Research at the College of Arts & Sciences of Syracuse University . As a biophysicist, she investigates how cells organize their interiors through self-assembly and active matter principles, focusing on the microtubule cytoskeleton and enzyme-driven systems using single-molecule imaging . Her research bridges fundamental physics with biological organization . Education: Ph.D. in Physics, University of California, Santa Barbara (2004) B.A. in Physics and Mathematics, Wellesley College (2000) Research Focus: Self-organization of cytoskeletal networks Active matter dynamics in biological systems Motor protein interactions and cargo transport Programming circadian materials via biomolecular systems Microtubule severing mechanisms Recent Article Trends: 2025 studies explore kinesin-driven cytoskeletal composites, urease-DNA origami engineering, and crosslinker-regulated network mechanics 2024-2023 work examines ionic strength effects on microtubules, programmable circadian materials, and motor-cargo dynamics Earlier studies analyze actin-microtubule composites, liquid crystal phase control, and severing enzyme mechanisms Scientific Awards: Fellow of the American Physical Society (APS) and American Association for the Advancement of Science (AAAS) Cottrell Scholar (2025) and STAR Award Margaret Oakley Dayhoff Award (Biophysical Society) Grants: Leads multiple NSF, Sloan Foundation, and Research Corporation grants for projects like "Energy and Entropy Sculpting" and "Explorations: SUPER-Tech SHIP" . Teaching: Offers courses in experimental physics, microscopy, and biophysics, including a globally adopted hands-on microscope-building curriculum. Lab: Heads the Bio-Active Matter Lab , studying how cells harness noisy systems for autonomous organization.

Shasha Chongمشاهده پروفایل

استادیار

• Transcriptional Regulation
• Intrinsically Disordered Proteins
• Single-Molecule Biophysics
• +۴ مورد دیگر

Shasha Chong is an Assistant Professor of Chemistry at the California Institute of Technology and a Ronald and JoAnne Willens Scholar. She earned her B.S. from the University of Science & Technology of China (2008) and Ph.D. from Harvard University (2014). Her research bridges chemistry, physics, and biology to investigate the molecular mechanisms of cellular processes, focusing on intrinsically disordered regions (IDRs) in transcription proteins. Research Focus: IDRs in transcriptional regulation, cancer biology, liquid-liquid phase separation, and single-molecule imaging techniques. Grants & Awards: CCE Innovation Award (2024), ALSF Innovation Grant, Mallinckrodt Research Grant, Margaret E. Early Medical Research Trust Grant. Collaborations: Caltech-City of Hope Biomedical Research Initiative Grant (2025). Teaching: Co-instructor for courses like Biochemistry Laboratory (Ch 11) and Advanced Topics in Biochemistry (BMB/Bi/Ch 174). Labs & Teams: Leads the Chong Laboratory at Caltech, focusing on interdisciplinary approaches combining single-molecule imaging, genome editing, and bioinformatics.

Regina Raganمشاهده پروفایل

استاد

• Nanomaterials
• Self-Assembly
• Surface-Enhanced Raman Scattering (SERS)
• +۴ مورد دیگر

Regina Ragan is a Professor in the Department of Materials Science and Engineering at the Samueli School of Engineering, University of California, Irvine. Her research focuses on nanomaterials, self-assembly, and surface-enhanced Raman scattering (SERS) for applications in optical communication, energy systems, and biomedical diagnostics. Education: Ph.D. in Applied Physics, California Institute of Technology, 2002 M.S. in Applied Physics, California Institute of Technology, 1998 B.S. in Materials Science and Engineering, University of California, Los Angeles, 1996 Her work integrates scanning probe microscopy and first-principles calculations to study thermodynamic driving forces in self-assembly and structure-function relationships. Recent publications highlight applications in antimicrobial susceptibility testing, environmental monitoring, and plasmonic device fabrication. The Ragan group develops low-cost diagnostic tools using SERS for telemedicine applications. Current lab members include graduate students and postdoctoral researchers working on nanoscale systems from atomic to mesoscale. Scientific Awards: NSF CAREER Award for fundamental studies of biological/inorganic interfaces Research Trends: Recent articles show a focus on SERS-based diagnostics, plasmonic nanoantennas, machine learning-assisted spectral analysis, and scalable synthesis of 3D graphene architectures. Subfields span quantum plasmonics, stress-activated materials, and biofilm monitoring.

Dayong Jinمشاهده پروفایل

استاد

• Nanotechnology
• Biomedical Engineering
• Photonics
• +۵ مورد دیگر

Distinguished Professor Dayong Jin is a leading academic in nanotechnology and biomedical engineering at the University of Technology Sydney (UTS). He holds roles including Director of the Institute for Biomedical Materials and Devices (IBMD), ARC Laureate Fellow, and Chair Professor at Southern University of Science and Technology (China). His research focuses on photonics, luminescent materials, and their applications in healthcare, including cancer detection, rapid diagnostics, and super-resolution microscopy. Key innovations include 'Nano Torch' technology for disease detection and 'Super Dots' nanocrystals for imaging and anti-counterfeiting. Education: PhD from Macquarie University (2007). Leadership: Established UTS's IBMD and multiple research hubs, including the ARC IDEAL Research Hub and Australia-China Joint Research Centre. Research Interests: Transforming nanophotonics into diagnostic tools, rapid antigen tests (e.g., for COVID-19), and biomedical devices. His work bridges physics, engineering, and biology to address global health challenges. Awards: Australian Museum Eureka Prize (2015), Prime Minister's Prize for Science (2017), ARC Laureate Fellowship (2021), and Fellow of the Australian Academy of Technology and Engineering. Grants: Overseeing funded projects on quantum biotechnology, deep-tissue imaging, and nanoscale thermometry. Active in interdisciplinary collaborations, including with Chinese institutions. Labs/Teams: Leads IBMD, the ARC IDEAL Hub, and the UTS-SUSTech Joint Research Centre, fostering innovation in wearable biomaterials and point-of-care technologies.

Suliana Manleyمشاهده پروفایل

استاد

• Super-resolution Microscopy
• Single-molecule Biophysics
• Protein Assembly
• +۵ مورد دیگر

Suliana Manley is a Full Professor at the École Polytechnique Fédérale de Lausanne (EPFL) , affiliated with the School of Basic Sciences and the Laboratory of Experimental Biophysics . She also holds teaching and research roles in EPFL's School of Life Sciences and Swiss Plasma Center , focusing on interdisciplinary biophysical studies. Education : PhD in Physics (2004), Harvard University Bachelor's in Physics & Mathematics (1997), Rice University Manley's research centers on super-resolution fluorescence imaging , single-molecule tracking , and quantitative biophysics . Key themes include: Understanding protein assembly dynamics at cellular membranes Elucidating viral assembly mechanisms (e.g., HIV-Gag) Developing 3D imaging algorithms and high-density data reconstruction tools like PALMsiever and FALCON Quantifying nanoscale organization in systems like telomeres and centrioles Her work bridges optical physics , computational image analysis , and cellular biology , with notable Nature and PNAS publications. Collaborations span bioengineering , genetics , and medical research . Scientific Awards : Featured in Nature Methods Research Highlights (3x) Very Important Paper and Cover Article (ChemBioChem, 2012) Postdoctoral Fellow, NIH and MIT Advising & Collaborations : Current PhD students in biophysics, cellular biology, and bioengineering Former students: Anna Archetti, Aleksandr Benke, Andrea Callegari, and others Co-founder of tools for high-density super-resolution microscopy and live-cell imaging Labs & Teams : Leads the Laboratory of Experimental Biophysics at EPFL, integrating physics-based methods into biological questions. The lab focuses on quantitative imaging , computational modeling , and software development for nanoscale analysis.

Daniel Sageمشاهده پروفایل

مدرس

• Biomedical Imaging
• Image Processing
• Deep Learning Applications
• +۵ مورد دیگر

Daniel Sage is a Lecturer and Scientific Advisor at École polytechnique fédérale de Lausanne (EPFL) , affiliated with the Biomedical Imaging Laboratory (LIB) under the College of Engineering (STI) and School of Life Sciences (SV) . He specializes in bioimage informatics , structured-illumination microscopy , and deep learning applications for biomedical imaging. His work spans algorithm development for single-molecule localization microscopy (SMLM) , fluorescence imaging , and 3D reconstruction . His research group has developed open-source tools like FlexSIM for light inhomogeneity correction, DeepImageJ for integrating deep learning in ImageJ, and Steer'n'Detect for orientation-accurate template detection. His publications focus on correcting multiple-blinking artifacts in PALM, optimal transport metrics for SMLM evaluation, and contextual feature analysis for xenograft cell classification. He mentors PhD students and contributes to interdisciplinary education through courses such as Bioimage Informatics and Fundamentals of Image Analysis , emphasizing practical software solutions and Java programming for bioimage processing. His collaborations include institutions like Howard Hughes Medical Institute and Centre National de la Recherche Scientifique (CNRS) .

Thomas Walterمشاهده پروفایل

استاد

• Biomedical Image Analysis
• Machine Learning
• Computational Pathology
• +۴ مورد دیگر

Thomas Walter is a Professor at Mines ParisTech and Director of the Centre for Computational Biology (CBIO) , a research group affiliated with the Institut Curie and INSERM . His work focuses on applying Machine Learning and Computer Vision to biomedical image analysis, particularly in high-content screening and computational pathology . He also serves as Deputy Director of the Computational Oncology (U1331) unit and leads the Statistical Learning and Modeling of Biological Systems team. PhD in Medical Image Analysis (2003, Mines ParisTech) Postdoctoral work at EMBL (European Molecular Biology Laboratory) Director of CBIO since 2018 Holder of a PRAIRIE Chair (Paris Artificial Intelligence Research Institute) since 2019 Dr. Walter's research bridges biomedical imaging , machine learning , and cancer genomics . Key areas include: Statistical reconstruction of biological networks Prediction of tumor progression at genomic/transcriptomic levels Development of deep learning methods for cell cycle analysis Integration of multi-omics data for precision oncology Tools for spatial transcriptomics (e.g., autoFISH, RNA2seg) Recent publications highlight his work in spatial transcriptomics , immunotherapy outcome prediction , and deep learning for digital pathology . His team has developed open-source tools like FISH-quant and pyHiM for single-molecule RNA imaging analysis. Scientific Honors: PRAIRIE Chair (2019) for AI research in life sciences Dr. Walter actively contributes to teaching deep learning for image analysis in multiple graduate programs across France, including courses at Mines ParisTech , Université Paris-Saclay , and Institut Curie . His software tools (FISH-quant, pyHiM) and methodological frameworks (e.g., Cut-Detector, PointFISH) have become standard resources in bioimage informatics.

Roderick Limمشاهده پروفایل

دانشیار

• Nuclear Pore Complex Transport
• Mechanobiology of Cells and Tissues
• Biomimetic Molecular Transport Systems
• +۵ مورد دیگر

Prof. Dr. Roderick Lim is an Associate Professor at the Biozentrum, University of Basel , where he leads a research group since 2014. His work bridges biophysics, nanotechnology, and molecular biology , focusing on the nuclear pore complex (NPC) and mechanobiology of cells . He develops biomimetic systems for selective molecular transport and ARTIDIS , a nanomechanical tissue diagnostic platform commercialized for breast cancer prognosis . Education : BSc (UNC Chapel Hill), PhD (NUS/IMRE Singapore), Postdoc (Swiss Nanoscience Institute) Positions : Argovia Professor (2014–present), Tenure Track Asst. Prof. (2009–2013), Postdoc (2004–2008) His research on NPC transport selectivity reveals how karyopherins modulate the FG Nup barrier via multivalent interactions, with implications for viral entry and Alzheimer’s disease . His ARTIDIS platform uses atomic force microscopy to detect cancer via tissue softness, linking hypoxia to metastasis . Recent 2025 publications explore bacterial nanoharpoon defense mechanisms and DNA origami-based NPC mimics . Scientific Awards : Pierre-Gilles de Gennes Prize (2008), A*STAR Fellowship (2004) Collaborations : NCCR Molecular Systems Engineering, NanoTera, KTI He mentors PhD students in institutions across Switzerland, Singapore, Sweden, and the UK , with alumni working on polymersome delivery, mechanotransduction, and pathogen transport . His lab pioneered high-speed atomic force microscopy for real-time NPC dynamics and plasmonic nanopores for synthetic biology applications.

• Virology
• Molecular Pathology
• Host-Pathogen Interactions
• +۵ مورد دیگر

Dr. Richard Y. Zhao is a tenured Professor in the Department of Pathology and Microbiology-Immunology at the University of Maryland School of Medicine. His research combines molecular biology, fission yeast genetics, mammalian biology, and virology to study virus-host interactions, particularly for HIV and Zika virus. He previously held academic positions at Northwestern University and Columbia University and has contributed to over 120 peer-reviewed articles. B.S., China Oceanography University (1981) M.S., Oregon State University (1995) Ph.D., Oregon State University (1991) Postdoctoral Training, Columbia University (1991-1992) Dr. Zhao's research focuses on: Virus-host interactions and pathogenicity High-throughput drug screening for antivirals Role of viral proteins in neuroinflammation and cancer Translational genomics in precision medicine His recent publications highlight SARS-CoV-2 ORF3a, Zika envelope proteins, and HIV protease inhibitors, emphasizing host-pathogen mechanisms across species. He has served on NIH panels and editorial boards for journals like Cell Research and Retrovirology . Scientific awards include: Fellow, American Academy of Microbiology (2019) Bernard L Mirkin Endowed Chair (2001-2004) Honorary Director, Shandong Gallo Institute (2009) Distinguished Service from SCBA (2015) Outstanding Service from CBA-USA (2016) Dr. Zhao also contributes to clinical diagnostics and personalized medicine through molecular testing and pharmacogenetics programs.

• Super-resolution microscopy
• 3D imaging techniques
• Biomedical Engineering
• +۳ مورد دیگر

Yiming Li is an Associate Professor in the Department of Biomedical Engineering at Southern University of Science and Technology's School of of Engineering. His research focuses on cutting-edge 3D super-resolution imaging techniques and their biological applications, with expertise spanning optical instrumentation, theoretical optics, and advanced imaging algorithms developed during his postdoctoral work at EMBL and Yale University. Education: Ph.D. in Biophysics, Karlsruhe Institute of Technology (2010-2015) M.Sc. in Medical Physics, Heidelberg University (2009-2010) B.Eng. in Biomedical Engineering, Shanghai Jiao Tong University (2005-2009) Research Interests: Dr. Li specializes in developing advanced 3D super-resolution microscopy techniques with particular expertise in single-molecule localization microscopy , point spread function engineering , and real-time 3D imaging systems. His work bridges optical physics and biological applications, enabling nanoscale observation of cellular processes. His software earned first place in the SMLM Challenge 2016, the field's most prestigious software contest. Publication Trends: Dr. Li's research shows a clear progression from fundamental algorithm development to comprehensive imaging system design, with increasing emphasis on real-time 3D applications. His publications in Nature Methods, Nature Communications, and other high-impact journals demonstrate consistent innovation in super-resolution microscopy, particularly in point spread function calibration, aberration correction, and biological applications at the nanoscale level. Scientific Awards: National Overseas High-level Talents (Youth Program) (2020) Shenzhen Overseas High-level Talents Category B EMBL-EIPOD Marie Curie Postdoc Fellowship (2016-2019) Karlsruhe School of Optics and Photonics Fellowship (2010-2013) International Symposium on Biomedical Imaging Travel Grant (2013) Professional Activities: As a PhD supervisor at SUSTech, Dr. Li mentors graduate students in biomedical engineering. He serves as a reviewer for top journals including Nature Methods, Light: Science & Applications, and Optics Letters. His laboratory maintains active international collaborations with EMBL, Yale University, Oxford University, and Cambridge University, facilitating cross-institutional research in advanced imaging techniques. Research Laboratory: Dr. Li leads an active research group focused on next-generation imaging technologies, operating under the website https://li-lab-sustech.github.io/ . His laboratory combines theoretical optics, software development, and biological applications to push the boundaries of what's possible in optical microscopy for cellular and subcellular observation.

Ghassan Hamarnehمشاهده پروفایل

استاد

• Medical Image Analysis
• Scientific computing
• Signal and image processing
• +۵ مورد دیگر

Ghassan Hamarneh is a Professor in the School of Computing Science at Simon Fraser University (SFU). His research focuses on medical image analysis, with expertise in super-resolution microscopy, explainable AI, and biomedical computing. He teaches courses in biomedical computing and scientific computing, emphasizing practical applications like signal processing and health informatics. Education: Ph.D. in Signal and Systems (Chalmers University, 2001), M.Sc. in Digital Communications (Chalmers, 1997), B.Sc. in Electrical Engineering (Jordan University, 1995). Research Interests include developing AI-driven tools for medical imaging, analyzing cellular structures using super-resolution techniques, and addressing ethical challenges in AI deployment. His work bridges computational methods with clinical applications, such as lesion segmentation, PET image analysis, and bias mitigation in medical algorithms. Recent publications highlight advancements in network analysis of molecular structures, debiasing AI models, and improving diagnostic accuracy through deep learning. His lab contributes to open-source software like SuperResNET and MCS-DETECT for super-resolution microscopy analysis. No scientific awards explicitly listed, but his extensive publication record reflects recognition in the field. Advising and grants information is not detailed in the provided texts. Active in teaching, including CMPT 340 (Biomedical Computing) and special research projects.

Lu Weiمشاهده پروفایل

استادیار

• Optical Spectroscopy
• Biophysics
• Bio-imaging
• +۷ مورد دیگر

Lu Wei is an Assistant Professor of Chemistry at the California Institute of Technology and an Investigator at the Heritage Medical Research Institute. She holds a B.S. from Nanjing University (2010) and a Ph.D. from Columbia University (2015), joining Caltech in 2018. Research Areas: Optical spectroscopy, Biophysics, Bio-imaging, Chemical probe development Education: B.S. Nanjing University (2010), Ph.D. Columbia (2015) Research Interests include next-generation optical imaging techniques based on nonlinear vibrational spectroscopy for live-cell dynamics. Her work spans super-resolution label-free imaging , quantitative polyQ aggregate analysis in Huntington’s disease, Raman-guided pharmacometabolomics for melanoma, and environmental sensing in subcellular systems. Recent Publications highlight trends in vibrational thermometry (2025), high-speed bond-selective imaging (2025), and photochromic Raman microscopy (2023), with applications from single-molecule to cellular biology . 2024 Margaret Oakley Dayhoff Award 2023 NSF CAREER Award 2022 Sloan Research Fellowship 2021 Scialog Fellow Students : 5 Ph.D. graduates (Dr. Jiajun Du, Dr. Kun Miao, Dr. Xiaotian Bi, Dr. Li-En Lin, Dr. Dongkwan Lee) and current advisees including Adrian, RJ, Phil, Yulu, Berea, and Kwan. The lab has received grants from the Chan Zuckerberg Initiative, NSF, Curci Foundation, and Eli Lilly. Labs & Collaborations : The Wei Lab at Caltech collaborates with Karthikeyan (metabolic imaging) and Mazmanian Labs (microbiome studies). They host interdisciplinary teams in physical chemistry and chemical biology.

• Molecular Biology
• Genetics
• Genomics
• +۲۱ مورد دیگر

Lea Atanasova is a Senior Researcher and Principal Investigator at the Institute of Food Technology, Department of Biotechnology and Food Science, University of Natural Resources and Life Sciences Vienna (BOKU). She holds a PhD (Dr. rer. nat.) and a Master’s degree (Mag. rer. nat.) and has extensive postdoctoral experience in fungal molecular biology and genomics. Her research is centered on mycoparasitic fungi such as Trichoderma and Clonostachys , with a focus on carbohydrate-active enzymes, signal transduction, gene expression, and ecological genomics. Her research interests span molecular biology, genetics, genomics, microbiology, mycology, and enzyme technology. She investigates the functional roles of genes and proteins in fungal biocontrol, nutrient acquisition, and host interactions. Her work integrates comparative genomics, transcriptomics, and functional proteomics to understand fungal evolution and ecological niches. The most recent publications highlight a strong trend in understanding fungal signaling pathways (e.g., TOR and MAPK), enzyme diversification (e.g., CDHs, pectate lyases), and the molecular mechanisms of mycoparasitism. Her work also extends to fungal secondary metabolites, host-microbe interactions, and advanced imaging techniques for protein localization. Scientific Awards: Carl Trygger scholarship for research at SLU (Uppsala, Sweden) GSA fungal meeting award, Genetics Society of America (Asilomar, CA, United States) FEMS Young Scientist Meeting Grant, Federation of European Microbiological Societies (Sant Feliu de Guíxols, Spain) Price Award for best Master-/Diploma research, Ecological Society of Germany, Austria and Switzerland (GFÖ) (Bayreuth, Germany) Austria National Park Research Award, Austrian Federal Ministry of Agriculture, Forestry, Environment and Water Management (Vienna, Austria) Ad Futura Special Achievements Fellowship for studies abroad, Slovene human resources development and scholarship fund (Ljubljana, Slovenia) Lea Atanasova has supervised several Master’s and Diploma theses on topics related to fungal biotechnology and enzymology. She leads an Austrian Science Fund (FWF)-funded project on GMC oxidoreductases in Clonostachys rosea . She is actively engaged in the scientific community, serving on editorial boards and as a guest editor. She has organized and chaired sessions at major conferences, including ECFG, and frequently presents her research internationally. She is a key member of the research community at BOKU, contributing to knowledge transfer through student supervision, editorial roles, and conference participation. Her work bridges fundamental fungal biology with applications in agriculture and biotechnology.

Peter Zijlstraمشاهده پروفایل

استاد

• Single-Molecule Sensing
• Plasmonics
• Nanophotonics
• +۴ مورد دیگر

Peter Zijlstra is a Full Professor in the Department of Applied Physics at Eindhoven University of Technology (TU/e), leading the Molecular Plasmonics group. His research focuses on single-molecule sensing using plasmonic and nanophotonic approaches to study biomolecular interactions in complex environments. He is a core member of the Institute for Complex Molecular Systems at TU/e, collaborating across disciplines like chemistry, biomedical engineering, and mathematics. Education: MSc in Applied Physics, University of Twente (2005) PhD from Swinburne University of Technology (2009), studying plasmonic nanoparticles in optical data storage Postdoctoral fellowship at Leiden University under Prof. Michel Orrit Research Interests: Developing novel sensing concepts via nanophotonics and super-resolution microscopy. Key areas include plasmon-enhanced fluorescence, real-time biomolecular dynamics, and applications in cancer management. His work contributes to UN Sustainable Development Goals through advancements in biosensing technologies. Awards: 2013 NWO Vidi Award for research on plasmonic imaging of enzymes in living cells Teaching & Activities: Teaches courses like Advanced Optical Microscopy and Electromagnetism Supervised 32 academic works Contributed to conferences and editorial roles for journals like npj Biosensing Labs & Collaborations: Molecular Plasmonics group website: www.molecular-plasmonics.nl Marie Curie ITN SuperCol project: www.supercol.eu

Andrea Pickelمشاهده پروفایل

استادیار

• Nanoscale Heat Transfer
• Luminescence Nanothermometry
• Super-Resolution Imaging
• +۷ مورد دیگر

Andrea Pickel is an Assistant Professor at the University of Rochester, holding joint appointments in the Department of Mechanical Engineering, Materials Science, and the Institute of Optics, while also serving as a Scientist at the Laboratory for Laser Energetics (LLE). She received her PhD in Mechanical Engineering from UC Berkeley (2019) and a BS from Carnegie Mellon University (2014). Her research focuses on nanoscale heat transfer, leveraging luminescent materials and super-resolution imaging to address challenges in thermal management, catalysis, and energy systems. Education: PhD, Mechanical Engineering, UC Berkeley, 2019 BS, Mechanical Engineering, Carnegie Mellon University, 2014 Research interests include luminescence nanothermometry, single-nanoparticle imaging, and high-temperature thermal metrology. Her work integrates experimental methods like stimulated emission depletion (STED) imaging and operando spectroscopy to advance understanding of energy transport at the nanoscale. Notable awards include the NSF CAREER Award (2022), ACS PRF Doctoral New Investigator Award (2020), and Furth Fund Award (2021). She was also named a Scialog Fellow in 2024. Advancing thermal measurement techniques, her group collaborates across disciplines to tackle applications in carbon capture, battery technology, and plasmonic photocatalysis. Current projects emphasize developing dual-mode sensing tools for real-time thermal and chemical monitoring. Labs/Teams: Active at the Laboratory for Laser Energetics (LLE) and leads the Pickel Research Group in the Department of Mechanical Engineering.