جست‌وجوی استاد و پژوهشگر

Rex Yingمشاهده پروفایل

استادیار

• Graph Neural Networks
• Geometric Representation Learning
• Explainable AI
• +۳ مورد دیگر

Rex Ying is an Assistant Professor in the Department of Computer Science at Yale University's School of Engineering & Applied Science. He leads research in graph neural networks, geometric representation learning, and explainable AI, with applications spanning physical simulations, biology, knowledge graphs, and recommender systems. His lab actively recruits PhD students interested in geometric deep learning, graph neural networks, and trustworthy AI. Dr. Ying received his PhD in Computer Science from Stanford University under Jure Leskovec, with a thesis titled "Towards Expressive and Scalable Deep Representation Learning for Graphs." Prior to that, he graduated from Duke University in 2016 with highest distinction, majoring in Computer Science and Mathematics. His research focuses on three interconnected areas: advancing graph neural network architectures for improved expressiveness, scalability, and interpretability; innovating in geometric representation learning for data with diverse characteristics; and developing real-world applications across scientific domains. He has pioneered influential algorithms including GraphSAGE, PinSAGE, and GNNExplainer, and developed the first billion-scale graph embedding services at Pinterest as well as graph-based anomaly detection algorithms at Amazon. His recent publication trends show a strong focus on hyperbolic geometry for foundation models, non-Euclidean representation learning, and multimodal applications in computational biology. The research demonstrates increasing integration of geometric deep learning with large language models and foundation model architectures. KDD 2022 Dissertation Award 2019 Baidu Scholarship in Artificial Intelligence Dr. Ying actively serves the research community as a committee member for major conferences including AAAI, ICML, NeurIPS, ICLR, KDD, and WebConf for over seven years, and as area chair for LoG 2022. He co-leads the open-source PyTorch Geometric project and has organized numerous workshops on graph learning. His industry collaborations include Pinterest, Amazon, Facebook AI Research, DeepMind, Siemens, SLAC National Accelerator Laboratory, and Saudi Aramco. He teaches "Deep Learning for Graph-Structured Data" at Yale and mentors students in developing cutting-edge graph learning algorithms. His research lab collaborates with both academic institutions and industry partners to advance the state-of-the-art in graph representation learning, with particular emphasis on geometric deep learning and its applications to scientific discovery and real-world systems.

• Stem Cell Biology
• Genetic Engineering
• Epigenetics
• +۵ مورد دیگر

Konstantinos Anastassiadis is a Professor at the Center for Molecular and Cellular Bioengineering (CMCB) of Dresden University of Technology , leading the Stem Cell Engineering group at the Biotechnology Center (BIOTEC) . His research focuses on unraveling molecular pathways regulating stem cell self-renewal and lineage commitment, with a strong emphasis on genetic engineering tool development and epigenetic mechanisms during cellular reprogramming. The lab utilizes mouse and human embryonic stem cells, neural stem cells, mesenchymal stromal cells, and induced pluripotent stem cells (iPSCs) in their investigations. Core Research Areas: Molecular regulation of stem cell fate Epigenetic mechanisms (e.g., UTX/UTY histone demethylases) Genetic engineering tool development (Flp, Dre, Vika recombinases, CRISPR protocols) Conditional immortalization systems for rare cell expansion Publications highlight his contributions to understanding: Role of histone methyltransferases (MLL1, MLL2, Setd1b) in hematopoiesis and cancer Epigenetic regulation during mouse development and spermatogenesis Genetic tools for protein tagging, transposon-mediated BAC transgenesis Interactions between stem cells and niche microenvironments Transcriptional and mechanical markers during reprogramming Collaborations span immunology , developmental biology , and bioinformatics . The lab actively participates in teaching activities at CMCB and maintains a focus on translational applications of stem cell research.

Karl Griswoldمشاهده پروفایل

استاد

• Protein engineering
• Directed evolution
• Biotherapeutics
• +۲ مورد دیگر

Karl Griswold is a Professor of Engineering at Dartmouth College's Thayer School of Engineering, where he leads the Griswold Research Group focused on protein engineering and biotherapeutics development. His interdisciplinary work spans chemical, biological, and engineering disciplines to address critical challenges in drug-resistant infections and protein therapeutics. Education: BS in Chemistry from Southwest Texas State University (1995) PhD in Chemistry from the University of Texas at Austin (2005) Research Focus: Professor Griswold's laboratory specializes in protein engineering, directed evolution, and biotherapeutics development , creating novel biomolecules with superior functionality compared to natural proteins. The group develops high-throughput screening methods, protein deimmunization strategies, enhanced expression systems, and antibacterial agents targeting drug-resistant infections. Their work has significant translational potential for treating conditions like MRSA and Pseudomonas aeruginosa infections. Scientific Recognition: Wallace H. Coulter Foundation Early Career Translational Research Award in Biomedical Engineering (2008) NIH Biotechnology Training Grant (2000-2003) Royston M. Roberts - Regents Fellowship, University of Texas (1999) DOW Chemical Foundation Scholar, Texas State University (1991-1995) Senior Fellow, National Academy of Inventors Research Leadership: As co-founder and CEO of Stealth Biologics, Professor Griswold translates academic research into commercial applications. His work has secured NIH funding and Dartmouth Innovations Accelerator support, with research featured in Chemical & Engineering News, Vermont Public Radio, and the New Hampshire Union Leader for developing alternatives to traditional antibiotics. Research Environment: The Griswold Research Group maintains extensive collaborations across disciplines including clinical medicine, immunology, structural biology, and chemical engineering. This interdisciplinary approach prepares trainees for careers at the intersection of multiple scientific fields, with research focusing on Biomolecular Antimicrobial Therapies, Deimmunizing Protein Therapeutics, and Gene Library Construction Technologies.

Omer Bayraktarمشاهده پروفایل

پژوهشگر

• Neural Diversity
• Spatial Transcriptomics
• Glia Biology
• +۳ مورد دیگر

Omer Bayraktar is a Group Leader at the Wellcome Sanger Institute , leading research in the Cellular Genomics Programme. His work focuses on decoding human brain cellular diversity using spatial transcriptomics , imaging , and functional screening to study neural complexity in health and disease. Bayraktar's educational background includes a PhD from HHMI under Chris Doe, investigating neural diversity development in Drosophila , followed by postdoctoral work at University of California, San Francisco and University of Cambridge as a Life Sciences Research Foundation Fellow. He developed a spatial transcriptomic pipeline during his postdoc to analyze astrocyte heterogeneity in the cerebral cortex. His research explores neural cell type mapping , glial-neuronal interactions , and cellular pathways in neurodevelopmental disorders . Recent publications emphasize 3D tissue mapping , multi-omic integration , and computational tools like Cell2fate and WebAtlas. His work bridges neurogenetics and computational biology to advance understanding of human tissue ecosystems. Bayraktar's lab collaborates with the Human Cell Atlas initiative and develops technologies such as automated histology pipelines and highly-multiplexed smFISH for molecular cell typing. His team also investigates glia-based therapies and astrocyte functional heterogeneity in neurodevelopmental contexts. Key scientific contributions include: Discovering astrocyte layer patterns independent of neuronal laminae Developing cell2location for spatial cell mapping Characterizing Drosophila neural stem cell models with human relevance Notable awards include the Life Sciences Research Foundation Fellowship during his postdoctoral training. His current group includes a PhD student , Senior Data Scientists , and Bioinformaticians .

Markus Heinonenمشاهده پروفایل

پژوهشگر ارشد

• Machine Learning
• Probabilistic Modeling
• Bayesian Inference
• +۵ مورد دیگر

Markus Heinonen is an Academy Research Fellow at Aalto University's Department of Computer Science within the School of Science. His academic position is tied to Harri Lähdesmäki's Professorship, focusing on probabilistic machine learning. He holds a Doctoral degree in Engineering and Technology from the University of Helsinki (2013). His research integrates probabilistic modeling , deep learning , and differential equations , with applications in computational biology, drug discovery, and biophysics. Key themes include Gaussian processes, Bayesian inference, generative models, and their use in understanding complex biological systems like immune cell behavior (e.g., T cell receptor analysis in aplastic anemia) and molecular design. He leads major projects such as the Deep Learning with Differential Equations initiative (2020–2025), exploring continuous-time models and physics-informed neural networks. His work bridges theory and application, evidenced by collaborations in diffusion models , optimal transport , and single-cell analysis . Publications span over 65 peer-reviewed outputs, with recent emphases on robust neural network training, multi-target molecular prediction, and interpretable drug design frameworks. His research contributes to UN Sustainable Development Goal 3 (Good Health) through advancements in disease modeling and therapeutic development. He has undertaken visiting research roles at the University of California, San Francisco (2017) and Telecom ParisTech (2013–2014). Media highlights include recognition for work on TCR-epitope prediction and AI-driven enzyme engineering.

• Biophysical Immunology
• Mechanobiology
• Microscopy Technology
• +۳ مورد دیگر

Marco Fritzsche is a Professor of Biophysical Immunology at the University of Oxford. He serves as the Scientific Director of the Oxford-ZEISS Centre of Excellence and leads the Biophysical Immunology Laboratory (www.bpi-oxford.com), which operates at the intersection of biophysics and immunology. BSc in Mathematics (2003–2006), University of Saarbrücken BSc in Physics (2003–2006), University of Saarbrücken MSc in Theoretical Physics (2006–2008), University of Saarbrücken PhD in Experimental Physics and Biology (2008–2012), University College London His research focuses on biophysical and mechanobiological mechanisms governing immune responses in health and disease. The BPI Laboratory develops advanced microscopy technologies to study these processes, integrating theoretical physics with experimental immunology. Recent publications highlight his work in quantitative imaging of biomolecular organization , traction force microscopy for immune cell dynamics, and trans-synaptic vesicle analysis in T-cell interactions. His studies bridge disciplines like biophysics, immunology, and cell mechanics. Rosalind Franklin Kennedy Trust Research Fellow The BPI Laboratory collaborates with institutions such as the Howard Hughes Medical Institute Janelia Farm and the Rosalind Franklin Institute . His roles include leadership in the Oxford-ZEISS Centre of Excellence and contributions to cutting-edge immunology research.

Kenneth Hoehnمشاهده پروفایل

استادیار

• Computational Immunology
• Evolutionary Biology
• B Cell Biology
• +۵ مورد دیگر

Kenneth Hoehn is an Assistant Professor in the Department of Biomedical Data Science at the Geisel School of Medicine, Dartmouth College. As a computational immunologist with expertise in evolutionary biology, he develops computational evolutionary approaches to trace cellular lineages, particularly B cells, in contexts such as infection, vaccination, cancer, and autoimmune diseases. His research focuses on understanding adaptive immunity in conditions like COVID-19 Food allergies Myasthenia gravis through collaborations with experimental teams. Key projects include: Phylogenetic modeling of B cell responses Evolutionary signatures in immune repertoires Tracking B cell dissemination in autoimmune diseases Epigenetic regulation of memory B cells Recent publications highlight trends in single-cell immunology , phylogenetic inference , and computational tools for analyzing B cell dynamics. His lab at Dartmouth integrates evolutionary genetics with high-resolution immune profiling.

Michael Lampsonمشاهده پروفایل

استاد

• Cell and Developmental Biology
• Evolution
• Cell biology of meiotic drive
• +۷ مورد دیگر

Michael Lampson is Professor of Biology at the University of Pennsylvania's School of Arts and Sciences, with secondary appointments in the Department of Cell and Developmental Biology. He serves as faculty in the Cell and Molecular Biology (CAMB) and Biochemistry and Molecular Biophysics (BMB) Graduate Groups, and is affiliated with the American Society for Cell Biology (ASCB). Ph.D., Cornell University, Weill Medical College, 2002 AB, Harvard College, 1994 Dr. Lampson's research program focuses on fundamental mechanisms of chromosome biology, with particular emphasis on cell division, centromere inheritance, and meiotic drive. His lab investigates how selfish genetic elements can violate Mendel's First Law through meiotic drive, the stability of centromere chromatin through the germline, and the role of repetitive satellite DNA in chromosome segregation. Using innovative approaches including mouse model systems, optogenetic tools, and biochemical techniques, his work bridges cell biology, genetics, and evolutionary biology to address questions with implications for reproductive biology, cancer, and genetic inheritance. Analysis of Dr. Lampson's recent publications reveals a strong focus on the intersection of centromere biology, meiotic drive, and chromosome segregation mechanisms. His work increasingly incorporates computational approaches alongside experimental systems to study evolutionary aspects of centromere function. The research demonstrates consistent innovation in methodology, particularly in developing optogenetic tools for precise manipulation of cellular processes. Key themes include the role of satellite DNA variation, mechanisms of non-Mendelian inheritance, and the stability of chromatin structures through cell division and development. Searle Scholar Award American Association for the Advancement of Science (AAAS) fellow Dr. Lampson's research is supported by multiple NIH grants including from NIGMS, NHGRI, NICHD, and NCI, as well as University of Pennsylvania funding sources including the University Research Foundation, Abramson Cancer Center, and several specialized research centers. He collaborates extensively with researchers across disciplines, including Ben Black (Biochemistry), Dennis Discher (Chemical Engineering), Dave Chenoweth (Chemistry), and Roger Greenberg (Cancer Biology), reflecting the interdisciplinary nature of his work. His lab has trained numerous graduate students and postdocs who have gone on to successful careers in academia and industry. The Lampson Lab maintains state-of-the-art facilities for cell biological, genetic, and biochemical research, with specialized equipment for live-cell imaging, optogenetic manipulation, and mouse genetics. The lab fosters a collaborative environment that bridges molecular, cellular, and evolutionary perspectives on chromosome biology.

Mona Singhمشاهده پروفایل

استاد

• Computational Biology
• Machine Learning
• Algorithms
• +۳ مورد دیگر

Mona Singh is a Professor of Computer Science at Princeton University, with affiliations to the Lewis-Sigler Institute for Integrative Genomics and the Department of Molecular Biology. She has been a faculty member since 1999. Ph.D., Massachusetts Institute of Technology, 1995 A.B. and S.M. degrees in Computer Science from Harvard University Her research focuses on computational molecular biology, integrating machine learning and algorithms to analyze biological networks, protein interactions, and mutational impacts. Key areas include DNA/RNA binding prediction, protein structure analysis, and network-based disease gene discovery. Her recent work highlights trends in protein language models, kinase-substrate prediction, and equitable MHC binding algorithms. These span sub-fields like structural bioinformatics, network biology, and functional genomics. Scientific Awards: Presidential Early Career Award for Scientists and Engineers (PECASE) Rheinstein Junior Faculty Award ACM Fellow (2019) ISCB Fellow (2018) She has taught an introductory computational biology course with Professor Coleen Murphy, covering sequence analysis, phylogenetics, and network reconstruction. Her group has developed tools like dPUC , nCOP , and DiffMut . Her lab collaborates with institutions including Carnegie Mellon, Duke University, and the Broad Institute, advancing applications in cancer genomics, metabolic disease, and precision medicine.

Aditi Dasمشاهده پروفایل

استاد

• Biochemistry and Chemical biology of Lipids
• Mechanism of Membrane proteins in Nanodiscs
• Enzymology of metalloproteins
• +۵ مورد دیگر

Aditi Das is a Full Professor in the School of Chemistry and Biochemistry at the Georgia Institute of Technology, College of Sciences. She leads the Das Laboratory, which focuses on the biochemistry and chemical biology of lipids, particularly studying cytochrome P450 enzymes and their role in lipid metabolism, endocannabinoid systems, and inflammatory pathways. Her educational background includes: B.Sc. in Chemistry from St. Stephen's College M.Sc. in Chemistry from Indian Institute of Technology, Kanpur (I.I.T) Ph.D. in Chemistry from Princeton University Postdoctoral research at Northwestern University (NSF-NSEC fellow) and Beckman Institute for Advanced Science and Technology, University of Illinois UC Professor Das's research interests center around understanding the physiological role of lipids in sustaining homeostasis and their implications in disease states such as neurodegenerative disorders, cancer, and cardiovascular diseases. Her laboratory specializes in: Enzymology of cytochrome P450s, particularly CYP2J2 epoxygenase Metabolism of ω-3 and ω-6 fatty acids and their derivatives Minor cannabinoid metabolism by cytochrome P450 enzymes Discovery of novel anti-inflammatory lipid metabolites and endocannabinoids Mechanistic studies of membrane proteins using nanodisc technology Her work bridges biochemistry, chemical biology, and pharmacology to uncover novel therapeutic targets related to lipid signaling pathways. Analysis of Professor Das's recent publications (2023-2025) reveals a strong focus on cannabinoid metabolism by cytochrome P450 enzymes, with particular emphasis on how these metabolic processes generate bioactive compounds that interact with the endocannabinoid system. Her research increasingly explores the therapeutic potential of omega-3 derived endocannabinoid epoxides in inflammatory and neurodegenerative conditions. The use of nanodisc technology for studying membrane proteins in near-native environments remains a consistent methodological thread throughout her work, enabling detailed mechanistic insights into enzyme function. Professor Das has received numerous prestigious awards recognizing her research excellence and teaching: 2024 NIH Outstanding Researcher Award (MIRA R35) for established investigators 2024 Vasser Woolley Faculty Fellowship 2023 Plenary Lecture at the International Society of the Study of Xenobiotics (ISSX) 2021 E.L.R. Stokstad Award 2019-2021 List of Teachers Ranked as Excellent 2019 Eicosanoid Research Foundation Young Investigator Award 2019 Zoetis Research Excellence Award 2019 Mary Swartz Rose Young Investigator Award 2015 National Scientist Development Award from the American Heart Association 2022 El Sohly Award from the American Chemical Society Professor Das actively mentors a diverse group of students and postdoctoral researchers, with several former lab members now holding faculty positions or working at prestigious institutions. Her laboratory has secured significant funding from NIH, NSF, and other sources to support research on lipid metabolism, cannabinoid pharmacology, and membrane protein biochemistry. Notable grants include an NIH R35 Outstanding Investigator Award (MIRA), an NIH R21 grant from NIDA, and multiple collaborative grants with other research groups. The Das Laboratory operates within the Petit Institute of Bioengineering and Biosciences (IBB) at Georgia Tech, utilizing state-of-the-art facilities for biochemical and biophysical studies. The lab specializes in nanodisc technology to study membrane proteins in near-native environments, with particular expertise in cytochrome P450 enzymes and their interactions with lipid substrates. Recent work has expanded into collaborative projects involving lipidomics, structural biology, and translational applications of lipid signaling research.

Laura Soltمشاهده پروفایل

دانشیار

• Autoimmune Disease
• Cancer Immunotherapy
• Immunometabolism
• +۵ مورد دیگر

Laura Solt, Ph.D. is an Associate Professor in the Department of Immunology and Microbiology at the Herbert Wertheim UF Scripps Institute for Biomedical Innovation & Technology in Jupiter, Florida. She also serves as Associate Dean of the Skaggs Graduate School of Chemical and Biological Sciences. Dr. Solt began her independent research career at Scripps Florida in 2013 and has established herself as a leading researcher in nuclear receptor biology within the immune system. Her research focuses on understanding the biologically relevant roles of nuclear receptors, particularly RORα and REV-ERBs, in the immune system with emphasis on TH17 cell development and autoimmune disease. Her lab employs a multidisciplinary approach combining molecular biology, genetic techniques, and chemical biology coupled with mouse models of autoimmunity and chronic inflammation. Dr. Solt's laboratory has made significant contributions to understanding how nuclear receptors regulate immune cell function, particularly in TH17-mediated inflammation. Her work has demonstrated roles for RORα and REV-ERBs in TH17 cell development and has developed synthetic ligands to these receptors for potential therapeutic applications in autoimmune diseases. Her extensive publication record shows a clear trajectory of research focused on nuclear receptor signaling in immunity, with recent work expanding into applications for cancer immunotherapy, neuroimmunology, and metabolic aspects of immune cell function. Her articles demonstrate expertise in both basic nuclear receptor mechanisms and translational applications. Ruth L. Kirschstein National Research Service Awards (2010-2013) Dr. Solt actively mentors graduate students including Adrianna Wilson (recipient of NIDDK F31 and Scheller Graduate Student Fellowship) and Sarah Mosure (recipient of NIH NRSA F31 award and Wendy Havran award). Her laboratory receives substantial funding from multiple NIH institutes (NIDDK, NCI, NIAID, NIGMS) as well as the Crohn's & Colitis Foundation. Current research directions include investigating the roles of NR2F6 in TH17 cells, exploring RORα function in CD8 T cells, and developing novel nuclear receptor modulators for therapeutic applications.

• Cardiovascular Research
• Hypertension
• Pharmacology
• +۵ مورد دیگر

Nancy J. Brown, M.D., is the Jean and David W. Wallace Dean of the Yale School of Medicine and holds the C.N.H. Long Professorship in Internal Medicine. Previously, she served as Chair of Vanderbilt Department of Medicine and Physician-in-Chief of Vanderbilt University Medical Center (2010–2020). Her academic career spans over three decades, with leadership roles in clinical care, research, and medical education. Education: MD, Harvard University (1986) AB in Molecular Biophysics and Biochemistry, Yale College (1981) Internship and Residency in Medicine, Vanderbilt University (1989) Fellowship in Clinical Pharmacology, Vanderbilt University (1991) Chief Resident, Vanderbilt University (1992) Research Interests: Dr. Brown’s work focuses on the renin-angiotensin-aldosterone system’s role in cardiovascular disease, hypertension, and thrombosis. Her lab has elucidated mechanisms linking aldosterone, bradykinin, and ACE inhibitors to inflammation, fibrosis, and cardiovascular risk. Current studies explore neprilysin inhibitors in heart failure and incretin-based therapies’ cardiovascular effects. Key Contributions: Identified genetic variants and African ancestry as risk factors for ACE inhibitor-associated angioedema Developed Vanderbilt’s Master of Science in Clinical Investigation program (2000) Advocated for physician-scientist development through leadership roles in NIH councils and professional organizations Recognition: Recipient of the Harriet Dustan Award, August M. Watanabe Prize, and Robert H. Williams Distinguished Chair of Medicine. Elected to the National Academy of Medicine and American Academy of Arts & Sciences. Labs/Teams: Leads the Yale School of Medicine’s cardiovascular research initiatives, focusing on translational studies of RAAS pathways and drug mechanisms.

Torben Baringtonمشاهده پروفایل

استاد بالینی

• Clinical Immunology
• Cellular Immunotherapy
• CAR T-cell Technology
• +۶ مورد دیگر

Torben Barington is a Clinical Professor at the Department of Clinical Research, Faculty of Health Sciences, University of Southern Denmark, and a Consultant at the Department of Clinical Immunology, Odense University Hospital. He has held this position since August 2001 and continues to be actively involved in research, teaching, and clinical leadership. MD, University of Copenhagen, 1987 Doctoral Thesis (dr.med.), University of Copenhagen, 1996 Specialist in Clinical Immunology, 1998 His research focuses on cellular immunotherapy of cancer , particularly using CAR T-cell and CAR NK-cell technologies, primary immunodeficiencies , and the B-lymphocyte repertoire and immunoglobulin genes . His work bridges fundamental immunology with clinical applications in oncology and immunodeficiency disorders. His recent publications (2024–2025) highlight advancements in CAR T/NK-cell characterization, cytotoxicity assays, clinical translation, and tumor microenvironment interactions. These works reflect a strong trend toward translational immunology , with emphasis on personalized cancer therapy , single-cell technologies , and clinical trial development . Scientific Awards: Aage og Edith Dyssegaards Fonds æreslegat (1993) Silver Medal, University of Copenhagen (1981) He has supervised over 30 thesis students and currently mentors several graduate students in CAR-based cancer immunotherapies. He serves as an examiner for PhD defenses at both the University of Southern Denmark and the University of Copenhagen. He is also actively involved in national scientific leadership, including as Chairman of the Scientific Committee of the Danish Blood Donor Organization since 2011 and as a member of the Advisory Board for Clinical Immunology in the Region of Southern Denmark since 2007. His research is conducted in collaboration with multidisciplinary teams focusing on cellular immunotherapy , clinical immunology , and translational hematology , often in partnership with Odense University Hospital and national blood and immunology networks.

• Cellular Biophysics
• Materials Science
• Cell Biology
• +۳ مورد دیگر

Prof. Joachim Spatz is a Full Professor of Biophysical Chemistry at Heidelberg University and Director of the Max Planck Institute for Medical Research. His academic career includes roles as Director at MPI for Metals Research (2004–2015) and Founding Director of the Institute for Molecular Systems Engineering (IMSE). He holds a PhD from Ulm University and habilitation in Physics, with postdoctoral training at the Institut Curie, Paris. His research spans cellular biophysics, materials science, and synthetic biology, focusing on mechanotransduction, cell-material interactions, and engineered biological systems. Education: 1989–1994: Dipl. Phys. (Physics), Ulm University & Colorado State University 1994–1996: PhD (summa cum laude), Ulm University 2000: Habilitation in Physics, Ulm University Research Interests: Spatz’s work integrates biophysics, materials science, and engineering to study cellular mechanics, synthetic cells, and mechanosensing. Key projects include developing synthetic cell models using microfluidics and exploring how mechanical forces regulate cell behavior in health and disease. Awards: 2017 Gottfried Wilhelm Leibniz Prize 2012 ERC Advanced Grant (with Prof. B. Geiger) 2002 Alfried Krupp Research Award Labs & Collaborations: Leads the Cellular Biophysics Department at MPI for Medical Research and collaborates with institutions like the Weizmann Institute and Jackson Laboratory. Active in interdisciplinary initiatives such as the Max Planck School Matter to Life.

• Immunology
• Virology
• Inflammation
• +۵ مورد دیگر

Santiago F. González is a Group Leader at the Institute for Research in Biomedicine (IRB) in Bellinzona, Switzerland, and an extraordinary professor at the University of Italian Switzerland (USI). He earned dual PhDs in microbiology (University of Santiago de Compostela, Spain) and immunology (University of Copenhagen, Denmark), followed by postdoctoral work (2007–2011) at Harvard Medical School's Immune Disease Institute under Michael Carroll. PhD in Microbiology, University of Santiago de Compostela PhD in Immunology, University of Copenhagen His research focuses on immune system dynamics during respiratory viral infections, vaccination, and cancer metastasis. Key areas include influenza recognition , lymph node inflammation , and immune cell behavior in vivo. He pioneered studies on C-type lectin receptors (e.g., SIGN-R1) in viral immunity and epigenetic modulators for inflammation. Recent publications highlight his work in epigenetic drug development , nanovaccines , and computational tools for immune cell tracking. His group uses two-photon intravital microscopy and spatial-temporal modeling to dissect immune responses. Scientific awards include three EU Marie Curie Fellowships (2004–2013), enabling his transition to independent research. His collaborations span Harvard, USI, and European institutions, with grants from the EU and Swiss research bodies. His lab at IRB, established via the 2013 Marie Curie Career Integration Grant , develops novel imaging approaches and therapeutic strategies for infectious and immune-mediated diseases.