جست‌وجوی استاد و پژوهشگر

Ruobo Zhouمشاهده پروفایل

استادیار

• Bioanalytical Super-resolution Fluorescence Imaging
• Single-molecule Detection
• Spatiotemporal Organizations of Biomolecules
• +۷ مورد دیگر

Ruobo Zhou is an Assistant Professor of Chemistry, Biochemistry and Molecular Biology, and Biomedical Engineering at Pennsylvania State University, holding affiliations in the Eberly College of Science and College of Engineering. His research focuses on developing advanced imaging techniques and interdisciplinary approaches to study biomolecular interactions and subcellular organization in health and disease. Zhou leads the Zhou Lab, which employs super-resolution microscopy, proteomics, and omics technologies to explore topics such as liquid-liquid phase separation in cancer and neurodegenerative diseases. Education: B.S. in Applied Physics (University of Science and Technology of China), Ph.D. in Physics (University of Illinois at Urbana-Champaign), Postdoc in Harvard University (Xiaowei Zhuang's lab). Key honors include the 2023 Scialog Fellow for Bioimaging and NIH MIRA Award (2021). He teaches CHEM540 (Biophysical Chemistry) and CHEM112 (Chemical Principles II). Research Interests: Super-resolution imaging, single-molecule detection, spatiotemporal biomolecule organization, liquid-liquid phase separation, neurobiology, RNA biology. Recent work includes discoveries about neuronal membrane skeletons and RTK signaling platforms, as well as proteomic analyses of cellular structures. Lab Team: Includes postdocs, graduate students, and undergraduates working on projects like transcriptome-scale imaging and phase separation mechanisms. Active in recruiting across physics, chemistry, biology, and engineering disciplines.

• Medical Imaging
• Magnetic Resonance Imaging (MRI)
• Nanoparticle Technology
• +۵ مورد دیگر

Olav Haraldseth is a Professor and Director of the MI Lab at the Norwegian University of Science and Technology (NTNU), affiliated with the Department of Circulation and Medical Imaging within the Faculty of Medicine. He holds a PhD in Medicine (1992, NTNU) and an MD (1984, University of Bergen). His research focuses on advanced MRI techniques, nanoparticle development for imaging and drug delivery, and image-guided regenerative medicine. He has led major initiatives including the SFI Medical Imaging Centre (SFI), Norwegian Research School in Medical Imaging (MedIm), and national and international imaging networks like NorMIC and EATRIS. His work spans preclinical and clinical applications, with contributions to neuroimaging, cardiovascular MRI, and molecular imaging technologies. Key roles include former Dean for Research at NTNU’s Faculty of Medicine (2006-07), Head of Department (2005-05), and Vice-Head (2002-05). He has pioneered methods such as manganese-enhanced MRI and dynamic contrast-enhanced MRI for studying brain injury, myocardial viability, and tumor response to therapy. His leadership extends to national committees and European infrastructure projects like Euro-BioImaging and EATRIS. Research interests emphasize translational applications: functional MRI for brain activity mapping, multi-modal nanoparticles for simultaneous imaging and therapy, and MRI guidance in stem cell transplantation and regenerative therapies. His work bridges engineering, biology, and clinical practice, with over 100 publications in high-impact journals like Neurochemical Research , ACS Nano , and Journal of Magnetic Resonance Imaging .

John Hughesمشاهده پروفایل

دانشیار

• Biostatistics
• Spatial Statistics
• Bayesian Methods
• +۴ مورد دیگر

John Hughes is an Associate Professor and Chair of the Department of Biostatistics and Health Data Science at Lehigh University's College of Health. He holds a PhD in Statistics from Penn State University and has over 29 years of experience in academia, with previous appointments at institutions like the University of Minnesota and the University of Colorado. His research focuses on methodological advancements in statistical modeling for dependent data, Bayesian methods, and statistical computing. His interdisciplinary work spans environmental health, bioimaging, magnetic resonance safety, and vaccine hesitancy. He has developed numerous software packages for R and Perl, including copCAR and batchmeans. Education: PhD in Statistics, Penn State University MS in Statistics, Penn State University MS in Applied Computer Science, Frostburg State University BS in Mathematics and Computer Science, Frostburg State University Teaching: Courses include Advanced R Programming, Biostatistics, Population Health Data Science, and Computational methods. His research interests emphasize spatial and spatiotemporal data analysis, with applications to public health and medical imaging. He has consulted for organizations such as the Minnesota Center for Chemical and Mental Health and Temple University. His software contributions include packages like krippendorffsalpha for agreement measurement and copCAR for spatial regression modeling. Recent work focuses on improving statistical inference methods, analyzing vaccination refusal patterns, and developing frameworks for copula-based agreement coefficients. His articles highlight innovations in Bayesian computation, spatial epidemiology, and nonparametric statistics. Dr. Hughes leads academic initiatives in biostatistics and health data science, fostering interdisciplinary collaborations and advancing statistical methodologies for real-world applications.

Hélène BERTRANDمشاهده پروفایل

دانشیار

• Bioorganic chemistry
• Bioinorganic chemistry
• Inorganic medicinal chemistry
• +۶ مورد دیگر

Hélène Bertrand is an Associate Professor at Sorbonne University, affiliated with the Department of Chemistry at École Normale Supérieure (ENS). She holds positions in the Biomolecules Laboratory (UMR7203) and has served as Visiting Faculty at Nanyang Technological University in Singapore. Her research focuses on bioorganic and bioinorganic chemistry, inorganic medicinal chemistry, and the development of platinum-based anticancer agents. She has supervised numerous PhD and postdoctoral researchers, contributing to advancements in drug discovery and imaging technologies. Education: PhD in Molecular Chemistry (2008, Université P. et M. Curie), postdoctoral training at University of London and Institut Curie. Membership: Board member of the French Society of Chemistry’s Bioinorganic Group, FrenchBIC, and FrenchLab Singapore. Key research interests include protein-protein interactions, rhenium tricarbonyl probes, and manganese spin-labels. Her work spans antiviral agents against influenza, mitochondrial tracking, and neurotoxicity mitigation in chemotherapy. Teaching: Leads courses in organic chemistry, bioinorganic chemistry, and drug discovery at Sorbonne University, co-responsible for the 'Sciences et Chinese Language' program.

Vivek Venkatachalamمشاهده پروفایل

استادیار

• Experimental Biophysics
• Neurophysiology
• Calcium Imaging
• +۴ مورد دیگر

Vivek Venkatachalam is an Assistant Professor of Physics at Northeastern University's College of Science, specializing in experimental biophysics and neurophysiology. His research focuses on developing tools to measure and manipulate whole-brain activity in freely behaving C. elegans, integrating advanced neurotechnology and microscopy techniques to study neural development and behavior. He earned a PhD in Physics from Harvard University (2012) and dual SB degrees in Electrical Science and Engineering and Physics from MIT (2006). His lab, based in Northeastern's Interdisciplinary Science and Engineering Complex, collaborates with the Institute for Chemical Imaging of Living Systems and the Biology Department. Key research areas include developmental neurophysiology of C. elegans from birth to adulthood, optogenetic manipulation, calcium imaging, and quantitative behavior analysis. The lab pioneered whole-brain imaging tools for C. elegans, enabling studies of neural activity patterns and their relationship to behavior. Current projects explore sensory integration, developmental decision-making, and neural circuit remodeling. His team includes PhD students Joshua Whitener, Mahdi Torkashvand, James Yu, and Maedeh Seyedolmohadesin, along with postdoc Dr. Jinmahn Kim. Venkatachalam's work bridges physics, biology, and engineering, with applications in understanding fundamental nervous system principles.

• Nanomedicine
• Cardiovascular Diseases
• Angiogenesis
• +۳ مورد دیگر

Papia Basu Thakur is a Researcher affiliated with the Greif Lab at Yale School of Medicine, Yale University. She holds a PhD in Biological Sciences from the CSIR-Indian Institute of Chemical Technology (2024). Her research focuses on nanomedicine and materials science, particularly in cardiovascular and neurological diseases. Key areas include developing nanoparticle-based therapies for ischemia, epigenetic mechanisms in neural recovery, and applications of metallic nanomaterials in angiogenesis and wound healing. Her work spans preclinical studies using animal models to evaluate nanoparticle efficacy, with a special emphasis on sex-specific differences in neuroinflammation and recovery post-ischemic injury. She has contributed to advancements in nanorod formulations (terbium, europium) for limb ischemia treatment and explored zinc oxide nanoparticles for cerebral ischemia. Her publications highlight interdisciplinary approaches integrating materials science with biomedical applications, such as fluorescence bioimaging and antibacterial nanotechnology. While no formal advising roles or grants are listed, her research demonstrates significant innovation in nanomedicine for translational medicine. She is part of the Greif Lab, which likely focuses on vascular and neurological disease mechanisms.

• Biomedical Image Processing
• Medical Image Analysis
• Bioimaging Sciences
• +۴ مورد دیگر

James Duncan is the Ebenezer K. Hunt Professor of Radiology and Biomedical Engineering, and Professor of Biomedical Engineering at Yale University's School of Medicine. He leads the Department of Biomedical Engineering as Department Chair and holds joint appointments in Diagnostic Radiology and Electrical Engineering. His research focuses on biomedical image processing, model-based image analysis, and medical imaging technologies. Notably, he pioneered techniques for anatomical object segmentation using Bayesian strategies and deformable motion tracking in cardiac imaging. Education: PhD from University of Southern California (1982), MS from UCLA (1975), BSEE from Lafayette College (1973). Research interests include medical image segmentation, motion tracking, image-guided surgery, and AI-driven medical imaging solutions. His team developed foundational methods for MRI/SPECT analysis and cardiac biomechanics modeling. Over 176 publications demonstrate his expertise in machine learning applications for healthcare, with recent work in domain adaptation, diffusion models, and low-dose imaging techniques. Awards include IEEE Fellow (2000), NIH BRP grants, and multiple R01 grants. His lab collaborates widely, advancing translational imaging technologies and interdisciplinary engineering-medicine initiatives. Major grants include sustained NIH funding since 1993. He mentors interdisciplinary teams and chairs the Yale Biomedical Imaging Institute. Current projects address AI in diagnostic imaging, cancer immunotherapy monitoring, and personalized cardiac modeling.

• Biomedical Imaging
• Radiology
• Medical Imaging Technologies
• +۳ مورد دیگر

Jiwei Gu is an Associate Research Scientist in the Department of Radiology & Biomedical Imaging at Yale University School of Medicine. Their primary appointment is within the Radiology & Biomedical Imaging department, with affiliations to the Bioimaging Sciences division and the PET Core facility. Gu’s research focuses on advancing biomedical imaging technologies and applications within radiology, leveraging expertise in diagnostic imaging and nuclear medicine. Affiliations include key roles in the PET Core, indicating specialization in positron emission tomography (PET) imaging techniques. Their work contributes to translational research initiatives within the Yale School of Medicine, though specific grant details or educational background were not explicitly detailed in the text.

Jan Ellenbergمشاهده پروفایل

عضو هیئت علمی

• Cell biology
• Systems biology
• Cell division
• +۷ مورد دیگر

Jan Ellenberg is a Senior Scientist at the European Molecular Biology Laboratory (EMBL) in Heidelberg, Germany, where he has held leadership roles since 2006. He serves as Head of the Cell Biology and Biophysics Unit and as Coordinator for the Centre for Molecular and Cellular Imaging at EMBL. Additionally, he has been pivotal in the Euro-BioImaging project since 2010, first as Scientific Coordinator and later as EMBL Delegate to the Euro-BioImaging Interim Board. PhD (summa cum laude) in biochemistry, 1998 (NIH, Bethesda, USA and Freie Universität Berlin, Germany) Diploma in biology, 1994 (Universität Hamburg, Germany) Ellenberg's research spans cell biology, systems biology, and advanced imaging technologies. His work focuses on cell division, nuclear biology, and the development of super-resolution and light-sheet microscopy. He investigates mitotic and meiotic processes, nuclear pore complex dynamics, and pre-implantation mammalian development, integrating biophysics with molecular biology. His contributions to imaging infrastructure and nuclear biology have garnered significant recognition. Key awards include the Allen Distinguished Investigator award (2017), ERC Advanced Investigator grant (2016), and an honorary doctorate from Åbo Akademi University (2016). He has also received prestigious medals such as the Walter Flemming Medal (2004) and the Matthias Jakob Schleiden Lecture (2015). 2017 Allen Distinguished Investigator 2016 ERC Advanced Investigator 2016 Honorary Doctor of Philosophy, Åbo Akademi University 2004 Walter Flemming Medal 2004 ELSO Early Career Award 2002 Nikon Fellow Ellenberg is a member of the European Molecular Biology Organization (EMBO) since 2006 and a founding member of the European Light Microscopy Initiative (ELMI). He has been involved in organizing major scientific meetings, including chairing the 2011 Program Committee of the American Society for Cell Biology (ASCB).

Peter Horvathمشاهده پروفایل

پژوهشگر

• Computational biology
• Artificial Intelligence
• Microscopy
• +۵ مورد دیگر

Peter Horvath is a Senior Researcher at Helmholtz Munich's AI4Health Institute and Director of the Institute of Biochemistry at HUN-REN Biological Research Centre (BRC) in Szeged, Hungary. He also leads the Biological Image Analysis and Machine Learning Group (BIOMAG) at BRC since 2014 and serves as CEO of Single-Cell Technologies Ltd. in Szeged. Education: DSc. (2023, Hungary) Ph.D. in Digital Image Analysis (2008, University of Nice, Sophia Antipolis, France) MSc in Computer Science and Mathematics (2003, University of Szeged, Hungary) Research Interests: His work integrates computational biology, artificial intelligence, and machine learning with bioimage analysis and single-cell technologies. Key areas include cancer research, proteogenomics, and the development of AI-driven systems for biological discovery and clinical applications, particularly in tumor cell division and neurobiology. Scientific Honors and Fellowships: He has received notable awards such as the Szent-Györgyi Talentum Prize (2019), Straub and Bolyai Plaquette Awards (2018), and the Momentum Award from the Hungarian Academy of Sciences (2018). Fellowships include the Finland Distinguished Professor program (2014), Marie Curie Fellowship (2007), and Bolyai Fellowship (2014). Research Funding: His projects have secured major grants from the Hungarian Academy of Sciences (HAS Momentum), Chan Zuckerberg Initiative (Deep Visual Proteomics), ELKH Excellence Programme, OTKA SNN, NRDIO, EU Horizon 2020, and TRANSCAN2021, focusing on AI-based diagnostics, single-cell analysis, and advanced microscopy techniques.

Teri Odomمشاهده پروفایل

استاد

• Nanofabrication
• Plasmonic Materials
• Nano-lasers
• +۴ مورد دیگر

Teri Odom is the Charles E. and Emma H. Morrison Professor of Chemistry and a courtesy Professor of Materials Science and Engineering at Northwestern University's McCormick School of Engineering. Her research focuses on nanofabrication, plasmonic materials, nano-lasers, and bioimaging, with applications in photonics, energy, and biomedicine. Notable achievements include over 200 publications, editorship of Nano Letters , and prestigious awards such as the NIH Director’s Pioneer Award and Vannevar Bush Faculty Fellowship. She leads the Odom Group, advancing nanoscale materials for optoelectronics and biomedical diagnostics. Odom’s work spans plasmonic lattices, quantum dot lasing, and antifouling nanoelectrodes. She holds affiliations with the PhD Program in Interdisciplinary Biological Sciences and collaborates with institutions like Argonne National Laboratory. Recent recognitions include the 2025 Kirkwood Award and Phi Beta Kappa Visiting Scholar appointment.

Hartmann Harzمشاهده پروفایل

پژوهشگر

• Chromatin Biology
• Epigenetics
• Cancer Biology
• +۳ مورد دیگر

Dr. Hartmann Harz is a Researcher affiliated with the Leonhardt Group at the Department of BioSysM within the School of Human Biology and BioImaging at LMU Munich. His research focuses on chromatin structure, epigenetics, and advanced microscopy techniques. He contributes to studies on genomic element detection, cancer biology, and cellular senescence. Key collaborations involve interdisciplinary projects with biochemists, immunologists, and computational biologists. Dr. Harz has published extensively on chromatin organization, molecular probes, and imaging technologies. Education: PhD in Molecular Biology (not explicitly stated but inferred from title) Research interests span nano-scale chromatin organization , enhancer-promoter interactions , and novel fluorescent labeling methods . His work bridges basic biology with applied technologies like super-resolution microscopy and CRISPR-based tools. Recent studies highlight contributions to understanding leukemia genetics and senescence induction mechanisms. Publications reflect interdisciplinary focus: 2024 studies on genomic element labeling (Cell Reports Methods), pediatric leukemia epigenetics (Blood Advances), and nucleosome spacing effects (Biophysical Journal). His work on BigStitcher software (2019, Nature Methods) revolutionized 3D imaging of large biological samples. Awards: None explicitly listed. Grants/Advising: Active in collaborative projects but no specific grants detailed in texts. Labs/Teams: Core member of the Leonhardt Group, contributing to BioSysM’s imaging and epigenetics initiatives. Collaborates with technical teams on microscopy and molecular probe development.

Wonmuk Hwangمشاهده پروفایل

استاد

• Computational Biophysics
• Molecular Biomechanics
• Molecular Motors
• +۵ مورد دیگر

Wonmuk Hwang is a Professor at Texas A&M University with joint appointments in Biomedical Engineering, Materials Science & Engineering, and Physics & Astronomy. As Principal Investigator of the Hwang Laboratory, he leads research in computational biophysics and molecular biomechanics. His lab focuses on understanding how biomolecules move, interact, and assemble to drive biological phenomena, with applications in therapeutic development and bio-inspired engineering. His research program spans four interconnected domains: Multiscale Modeling (water dynamics, biofilament mechanics, supramolecular assembly), Kinesin Motor Proteins (ATP-driven motility mechanisms), T-Cell Receptor Mechanobiology (force-dependent immune recognition), and Bioimage Analysis (computational tools for complex imaging datasets). The lab develops advanced algorithms including the Computer-Aided Feature Extraction (CAFE) platform for biological structures. Analysis of 15 recent publications (2021-2025) reveals dominant research threads: 1) Computational methods for electrostatic interactions and molecular dynamics (CHARMM enhancements, GLST cubature), 2) TCR mechanobiology exploring force-dependent discrimination mechanisms, 3) Viral protein dynamics (influenza NS1, HIV MPER), and 4) Developmental biophysics (zebrafish neurodevelopment). This reflects Hwang's dual focus on method development and biological applications. Professor Hwang mentors an active research group including 3 graduate students (Sofiya Bettencourt, James Gonzales, Yue Qiu) and 3 undergraduates (Nithanial John, Jomi Olufemi, Elaine Wu). His alumni hold positions at Vanderbilt University, IBM Research, Bristol-Myers Squibb, and academic institutions worldwide. The lab maintains extensive collaborations with experimental groups including those at NIH, Harvard, and Seoul National University.

Harini Hapuarachchiمشاهده پروفایل

پژوهشگر ارشد

• Quantum Technology
• Plasmonics
• Quantum Optics
• +۳ مورد دیگر

Dr. Harini Hapuarachchi is a Vice Chancellor’s Postdoctoral Research Fellow at the School of Science, RMIT University, within the STEM College. Previously, she served as a Research Fellow at the ARC Centre of Excellence in Exciton Science. Her research focuses on quantum systems such as nitrogen-vacancy centers in diamond, color centers in 2D materials, and semiconductor quantum dots, leveraging plasmonic interactions to advance quantum technologies. Her work spans theoretical and experimental studies in nanophotonics, quantum optics, and nanomaterials engineering. Research interests include plasmon-quantum emitter interactions, quantum control mechanisms, and the development of hybrid nanostructures for optoelectronic applications. Her contributions address challenges in quantum sensing, quantum computing, and biomedical plasmonic systems. Her publications explore topics such as nitrogen-doped diamond color centers, orientation-generalized plasmonic models, and quantum master equations. These studies highlight advancements in quantum emitter manipulation and plasmonic field engineering. She is open to supervising PhD and Master’s students in these areas. Dr. Hapuarachchi’s research has been applied to fields like temperature sensing via plasmonic nanoparticles and long-term water pipe condition assessment using semiparametric models. Collaborations include projects on nanohybrids for tumor imaging and IVF incubator design.

Ullrich Kötheمشاهده پروفایل

دانشیار

• Machine Learning
• Neural Networks
• Explainable AI
• +۶ مورد دیگر

Prof. Dr. Ullrich Köthe is an Associate Professor and group leader in the Visual Learning Lab Heidelberg at the University of Heidelberg . He focuses on Explainable Machine Learning , leveraging Invertible Neural Networks to enhance transparency and utility in image analysis and medical applications . He also maintains the widely used VIGRA image analysis library. Education: PhD in Informatics, University of Hamburg, 2000 Habilitation in Informatics, University of Hamburg, 2008 His research interests center around machine learning , image analysis , and scientific computing , particularly the development of robust algorithms for medical imaging , computer vision , and life sciences . His work on invertible neural networks and parameter-free segmentation has led to significant advancements in the field. Recent publications highlight his contributions to Bayesian inference , neural network interpretability , and stochastic modeling , with applications ranging from disease outbreak dynamics to connectomics . Key trends include generative models , parameter-free segmentation , and likelihood-free inference . Scientific Awards: DAGM 2003 Main Prize DAGM Best Paper Award 2008 He has supervised numerous Master and Bachelor theses in machine learning and image analysis , with teaching roles in Advanced Machine Learning and Explainable AI . His collaborative research grants include funding from HARMAN International (2024). He leads the Explainable Machine Learning subgroup and has contributed to open-source software projects like ilastik and VIGRA , which are critical tools in bioimage analysis .