جست‌وجوی استاد و پژوهشگر

Fabio Lucianiمشاهده پروفایل

استاد

• genomics
• immunology
• computational biology
• +۶ مورد دیگر

Fabio Luciani is a Professor in Systems Immunology and Machine Learning at the School of Medical Sciences at UNSW Sydney, with visiting fellow positions at the Garvan Institute for Medical Research and Weill Cornell College of Medicine NY, USA. His interdisciplinary research program integrates immunology, genomics, and computational approaches to develop novel immunotherapies for cancer and autoimmune diseases. With a background spanning physics, theoretical biology, and biophysics, Luciani leads an interdisciplinary team with expertise in immunology, mathematical modeling, statistics, and bioinformatics. His research focuses on T cell responses using single-cell genomic technologies to understand immune responses in viral infections, autoimmunity, and CAR T cell therapies. He has developed landmark bioinformatic methods for combining single-cell transcriptome data with antigen receptor sequences and computational models for haplotype reconstruction. Luciani's work demonstrates a strong emphasis on translating molecular and genomic discoveries into clinical interventions, particularly in predicting side effects and identifying solutions for unmet clinical needs in immunotherapy. His research spans multiple collaborative projects including single-cell multi-omics analysis in coeliac disease with Prof Chris Goodnow's team at the Garvan Institute, and CAR T cell therapy response studies with clinicians at Westmead Hospital and Weill Cornell. His scientific contributions include over 140 peer-reviewed publications and successful acquisition of more than $20 million in research funding from organizations including ARC, NHMRC, JDRF, NIH, and private industry partners. He serves as Principal Investigator of the UNSW Future Institute of Cellular Genomics, which has secured $4.5 million over seven years for single-cell technologies in cellular genomics. As an academic supervisor, Luciani currently mentors 3 PhD students, 2 honours students, and 2 postdoctoral researchers, welcoming applications from students interested in bioinformatics, statistics, data science, immunology, and genomics. His work bridges theoretical approaches with experimental immunology to advance precision medicine and transform current immunotherapies into more precise and accessible solutions.

• Immunology
• Systems Biology
• Genomics
• +۴ مورد دیگر

Dr. Masahiro Ono is a Reader in Immunology at Imperial College London's Department of Life Sciences, within the Faculty of Natural Sciences. He leads research on T-cell regulation, focusing on autoimmunity, infections, and cancer. His lab pioneered the Tocky system, using Fluorescent Timer proteins to study T-cell activity dynamics in vivo. Dr. Ono holds affiliations with the CRUK Convergence Science Centre, Infection and Immunity, and Integrative Systems Biology. His academic journey includes an MD from Kyoto University (1993-1999) and a PhD in regulatory T cells (2002-2006). He was awarded a HFSP Fellowship (2009) and BBSRC David Phillips Fellowship (2012), establishing his UCL lab before joining Imperial in 2015. Research Interests : Dr. Ono's work bridges immunology, genomics, and systems biology. His lab explores T-cell activation mechanisms, tumor immunology, and bioinformatics tools for single-cell analysis. Key innovations include the Tocky system for real-time cell kinetics tracking and integrative approaches like GatingTree for cytometry data analysis. Awards : HFSP Fellowship (2009) BBSRC David Phillips Fellowship (2012) Grants & Advising : Dr. Ono's grants have supported projects on viral latency, tumor microenvironment modulation, and immune checkpoint therapies. His lab actively collaborates on translational research, though specific grant details are not listed here. Labs & Teams : His lab at Imperial focuses on Tocky-based technologies and interdisciplinary convergence science through the CRUK Centre. Collaborations span virology, oncology, and bioengineering to address unmet clinical needs in immunotherapy.

• Translational Cancer Research
• Cancer Biomarkers
• Tumor Biology
• +۱۱ مورد دیگر

Lars Andreas Akslen is a Professor at the Department of Clinical Medicine, University of Bergen, and serves as the Centre Director of CCBIO (Centre for Cancer Biomarkers). He is based at Haukeland University Hospital and leads a major translational cancer research group focused on biomarker discovery and validation. Position: Professor, Centre Director of CCBIO Institution: University of Bergen Department: Department of Clinical Medicine Location: Haukeland University Hospital, Bergen, Norway Email: lars.akslen@uib.no His research is centered on translational oncology, with a strong emphasis on identifying and validating novel biomarkers for improved biological classification and grading of malignant tumors. His work spans breast cancer , malignant melanoma , prostate cancer , and gynecologic cancers . By integrating human tumor sample analysis with experimental cell and animal models, his team aims to enhance the clinical utility of biomarkers in predicting aggressive tumor behavior and guiding personalized treatment strategies. The recent publications highlight a consistent focus on tumor microenvironment, immune biomarkers, imaging mass cytometry, AI in diagnosis, and age-related phenotypes in cancer. There is a strong trend towards high-dimensional spatial profiling and integration of molecular and clinical data to refine prognostic and predictive models. Lars Andreas Akslen has no listed scientific awards in the provided text. He leads the Tumor Biology Research Group (established in 1995) and the CCBIO center, indicating significant mentorship and leadership in cancer research. While specific students are not listed, his extensive collaboration network suggests active supervision of PhD and postdoctoral researchers. No specific grants are mentioned, but leadership of a national research center implies substantial funding acquisition. He is affiliated with CCBIO and the Tumor Biology Research Group, both based at the Department of Clinical Medicine, University of Bergen, and operating from Haukeland University Hospital. These teams focus on translational cancer biomarker research using advanced molecular and imaging technologies.

Philip Brunnerمشاهده پروفایل

استاد

• Hydrogeology
• Surface Water-Groundwater Interactions
• Numerical Modeling
• +۳ مورد دیگر

Philip Brunner is a Professor of Hydrogeology at the University of Neuchâtel's Faculty of Science since 2012. He is based at the Center for Hydrogeology and Geothermics (CHYN), leading the Laboratory of Hydrogeological Processes. His work centers on sustainable water resource management through quantitative tools. He earned his PhD from ETH Zurich, focusing on sustainable salt and water management in Western China's agricultural basins. Post-PhD, he conducted three years of postdoctoral research in Australia, developing new approaches for simulating river-aquifer interactions. Brunner's research spans surface water-groundwater interactions, numerical modeling, and remote sensing. He integrates methods from numerical modeling, remote sensing, scientific computing, and isotopic chemistry. His interdisciplinary collaborations with mathematicians, biologists, and physicists address challenges in agriculture, ecohydrology, engineering, and sustainable resource management. Recent publications highlight innovative tracer techniques (noble gases, microbes), low-cost monitoring systems, and advanced numerical models. His work tackles climate change impacts on ecosystems, groundwater in conflict zones, and sustainable practices in diverse environments including mountains and agricultural regions. He teaches courses such as Introduction to Hydrological Processes (Master), Numerical Modeling (Master), Remote Sensing (Master), and Introduction to Soil Physics (Bachelor, in French). His laboratory serves as a center for experimental and computational hydrogeological research.

John Reynoldsمشاهده پروفایل

دانشیار مدعو

• Biostatistics
• Oncology Clinical Trials
• Hematology
• +۱۲ مورد دیگر

John Reynolds is an Adjunct Associate Professor (Research) at the Australian Centre for Blood Diseases, within the Faculty of Medicine, Nursing and Health Sciences at Monash University. He is also affiliated with The Alfred Hospital, where he serves as Senior Expert Biostatistician in the Department of Clinical Haematology. His work bridges academic research and clinical practice, focusing on statistical design and analysis in hematology and oncology. Current Affiliation: Monash University & The Alfred Hospital Role: Adjunct Associate Professor (Research), Senior Expert Biostatistician Academic Background: PhD in Statistics with Minor in Genetics, North Carolina State University Prior Experience: Peter MacCallum Cancer Centre, Novartis AG, Deakin University John Reynolds' research is centered on biostatistics in clinical oncology, particularly in hematological malignancies. His primary areas of interest include the design and analysis of clinical trials across all phases, with a strong focus on multiple myeloma, chronic myeloid leukemia, and immune thrombocytopenia. He has contributed significantly to projects involving liquid biopsy, minimal residual disease assessment, and the integration of patient-reported outcomes in clinical decision-making. His early-career work involved statistical design in food and agricultural sciences, showcasing a broad methodological foundation. The recent publications and ongoing projects reveal a consistent trend in applying advanced statistical methods to improve risk stratification, treatment efficacy, and early detection in blood cancers. His work frequently appears in high-impact hematology journals such as Blood , Haematologica , and Blood Advances , reflecting his leadership in biostatistical applications in clinical research. He is actively involved in major research initiatives, including the GLAM study on genomic liquid biopsy in multiple myeloma and trials focused on alcohol use disorders. His contributions are primarily as a Chief Investigator in large collaborative studies, emphasizing his central role in trial design and data interpretation. Invited speaker, American Society of Hematology, Clinical Research Training Institute (2023–2025) Invited speaker, CML Opinion Leader Training (2023) Invited speaker, iCMLf - CML Preceptorship (2019) John Reynolds leads and contributes to numerous federally funded research grants, including projects supported by the Department of Health and Aged Care (Australia). His collaborative network spans institutions in Australia and internationally, with active roles in multi-center clinical trials. He is instrumental in mentoring and advising research teams on statistical rigor, trial design, and data analysis. His lab and team involvement is embedded within the Biostatistics Consulting Platform at Alfred Health and Monash University, where he supports a wide range of clinical research projects.

Conrad Bessantمشاهده پروفایل

استاد

• Bioinformatics
• Computational Biology
• Artificial Intelligence in Biomedicine
• +۵ مورد دیگر

Prof Conrad Bessant is a Professor of Bioinformatics at Queen Mary University of London (QMUL), affiliated with the School of Biological and Behavioural Sciences. He leads the MSc Bioinformatics program and is academic lead of the UKRI AI for Drug Discovery Doctoral Training Programme. His research focuses on automating scientific discovery in biomedicine using AI, machine learning, and network science. Key areas include drug response prediction, kinase networks, and health data analytics from online forums. Research interests span data science, computational biology, and AI applications in healthcare. He has contributed to projects on tumor microenvironment analysis, proteomics, and biomarker discovery in rheumatoid arthritis. His work integrates multi-omics data with machine learning to identify therapeutic targets and predict drug responses. Recent grants include AI-driven omics data integration (BBSRC), biomarker studies in ALS (Barts Charity), and collaborations with pharmaceutical companies like Exscientia and Merck. Publications highlight contributions to automated cell identification, kinase network modeling, and health informatics. He has pioneered tools like MRMaid for proteomics and Galaxy workflows for transcriptomics-informed analyses.

• Biomedical Engineering
• Stem Cell Research
• Nanotechnology
• +۶ مورد دیگر

Professor Stuart Reid FRSE serves as Head of Department and Royal Society Industry Fellow in Biomedical Engineering at the University of Strathclyde. He leads a multidisciplinary research team working at the intersection of medical science and advanced physics, with significant contributions to both regenerative medicine and gravitational wave detection technologies. His research encompasses two major thrusts: Nanokicking Technology: As co-inventor of 'nanokicking,' he developed a method using precisely controlled nanoscale vibrations to stimulate stem cells to differentiate into bone tissue. This groundbreaking work, published in ACS Nano (2013) and Nature Biomedical Engineering (2017), is now being translated to clinical applications through nanokick.com, with support from Find A Better Way charity for land mine injury treatment. Advanced Optical Coatings: His laboratory has pioneered the world's first high-energy ECR ion beam deposition facility, producing the lowest absorption sputtered amorphous silicon coatings (PRL 2018) for next-generation gravitational wave detectors. This work enables detectors to approach quantum noise limitations. Professor Reid's publications reveal a consistent trajectory from fundamental science to clinical and industrial applications, demonstrating exceptional translational impact across disciplines. His recent work increasingly focuses on commercialization and clinical translation of both nanokicking technology and advanced optical coatings. His scientific recognition includes: Appointment to the RSE Young Academy of Scotland (2014) Membership on the Royal Society's Research Grants Board (2020) 12 total prizes as documented in his academic profile Currently overseeing 49 research projects (16 active, 33 completed), Professor Reid directs significant research funding including the BIOME project (2025-2026) and EPSRC DTP research on extracellular vesicles. He established the Extreme Performance Optical Coatings testbed (www.epoc.scot) within the National Manufacturing Institute Scotland, creating a national resource for advanced optical coating development and testing.

Martin Fergieمشاهده پروفایل

مدرس

• Machine Learning
• Computer Vision
• Medical Imaging
• +۵ مورد دیگر

Martin Fergie is a Lecturer in Healthcare Sciences at the University of Manchester's Division of Informatics, Imaging & Data Sciences. His research focuses on applying machine learning and computer vision to medical imaging for disease outcome prediction, including breast cancer risk assessment via mammograms and multiplex immunofluorescence imaging for cancer outcomes. He holds a PhD in machine learning from the University of Manchester (2008–2012), followed by roles as CTO at DigitalBridge and CEO at Spotlight Pathology Ltd. He is actively involved in the InnovateUK ICURe program to reduce pathologists' workload through AI in digital pathology. Education: PhD in Machine Learning (University of Manchester, 2013), MSc/Molecular Pathology Teaching Role. Research interests include predictive modeling for disease outcomes, AI-driven pathology tools, and imaging biomarker development. Key projects include breast cancer risk prediction from mammograms and histology-based clinical outcome modeling for follicular lymphoma and head/neck cancers. Recent articles highlight advancements in AI for breast density assessment, extracellular matrix phenotyping, and H&E-to-multiplex immunohistochemistry translation. His work contributes to UN Sustainable Development Goals related to health and innovation. Awarded the 2023 Teaching Excellence Award (Highly Commended) for contributions to medical education. Collaborates on projects like the 'Developing targeted strategies for precision breast cancer prevention' initiative. External roles include Non-executive Director at VREvo Ltd and CEO at Spotlight Pathology Ltd. Associated with research platforms like Digital Futures and the Lydia Becker Institute.

• Cancer and Oncology
• Gynaecology, Obstetrics and Reproductive Medicine
• Immunology in the Medical Area
• +۲ مورد دیگر

Iva Filipovic serves as a Research Specialist in the Department of Laboratory Medicine, Division of Clinical Microbiology at Karolinska Institutet since 2025, following her Postdoctoral Research Fellowship (2019-2025) at the Department of Medicine Huddinge, Center for Infectious Medicine. She contributes to The Systems Virology Lab under Ujjwal Neogi, focusing on translational immunology in medical contexts. Her educational background includes: PhD in Physiology, Development and Neuroscience (Reproductive Immunology), University of Cambridge (2019) MSc in Immunology, Imperial College London (2015) BSc in Molecular Biology with Physiology, University of Belgrade (2014) Her research integrates tissue-resident immunology with systems approaches, examining innate lymphocytes in reproductive health, infectious diseases, and cancer. She employs advanced methodologies including RNA-Seq, single-cell analysis, and 29-color flow cytometry to investigate immune mechanisms in endometrial tissue, liver fibrosis, and viral pathogenesis. Current work emphasizes translational applications in sepsis, cholangiocarcinoma, and SARS-CoV-2 immunity. Analysis of her 15 most recent publications (2018-2025) reveals dominant themes in mucosal immunology, with significant contributions to understanding MAIT cells in sepsis, NK cell dynamics in reproduction, and immune biomarkers in cancer. Her work consistently bridges basic immunology with clinical applications through multi-omics approaches and large-scale collaborative studies like the Karolinska KI/K COVID-19 immune atlas. She actively participates in The Systems Virology Lab, contributing to Karolinska's infectious disease research infrastructure. Her technical expertise in high-dimensional immune profiling supports collaborative projects across virology, hepatology, and oncology research groups at Karolinska Institutet.

Tim Kacprowskiمشاهده پروفایل

استاد

• Medical Informatics
• Data Science
• Network Medicine
• +۹ مورد دیگر

Summary Prof. Tim Kacprowski is a Professor and Head of Data Science in Biomedicine at the Peter L. Reichertz Institute for Medical Informatics (PLRI), jointly affiliated with TU Braunschweig and Hannover Medical School. His research focuses on integrating computational methods with biomedical challenges, particularly in network medicine, federated learning, and alternative splicing analysis. Key projects include the development of the NeDRex platform for drug repurposing and the FeatureCloud framework for privacy-preserving federated learning in healthcare. Research Interests His work spans multiple domains: Network Medicine: Leveraging molecular networks for disease module identification and drug discovery. Data Science: Advanced analytics for biomedical data, including ECG monitoring, microbiome studies, and flow cytometry. Federated Learning: Developing decentralized AI systems to protect patient data while enabling collaborative research. Alternative Splicing: Investigating splicing patterns in diseases like cancer and kidney disorders. Publications Trends Recent publications emphasize tools for drug repurposing (NeDRex-Web), ethical AI in clinical decision-making, and microbiome dynamics in chronic diseases. His work bridges computational methods with clinical applications, addressing challenges in precision medicine and healthcare technology. Labs & Collaborations As head of the Data Science group at PLRI, he leads interdisciplinary teams advancing biomedical informatics. Collaborations span institutions in Germany and internationally, focusing on translational research and AI-driven healthcare solutions.

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

Professor Omid Kavehei is a Professor of Intelligent Microsystems in the Faculty of Engineering at the University of Sydney, serving as Deputy Head of the School of Biomedical Engineering. Previously, he held roles as a Research Fellow at the University of Melbourne and Lecturer at RMIT University. His research focuses on biomedical microsystems, nanotechnology, and brain-inspired hardware for healthcare applications, particularly epilepsy monitoring and seizure prediction. Education: PhD (specific institution not explicitly stated) His work bridges nanoelectronics and healthcare, aiming to develop low-power, brain-inspired devices for sensory perception and medical diagnostics. Key interests include neuromorphic engineering, wearable sensors, and AI-driven medical systems. Awards include the Ramaciotti Biomedical Research Award (2021), Microsoft AI for Accessibility Grant (2019), and multiple teaching/research excellence awards from the University of Sydney. His recent work explores neuromorphic cytometry for cell analysis, edge AI for ECG/EEG diagnostics, and closed-loop neurostimulation systems. Collaborations include the Sydney Nano Institute, Brain and Mind Centre, and industry partners like Microsoft. Current research students are advancing topics like bio-inspired algorithms for seizure detection, hardware-friendly machine learning models, and flexible sensor systems for aquatic environments. Grants include funding for neurophysiology platforms, quantum sensors, and semiconductor design. Labs/teams: Involved in the Centre for Drug Discovery Innovation and collaborations across engineering, neuroscience, and clinical domains.

Susann Müllerمشاهده پروفایل

دانشیار

• Microbial Ecology
• Flow Cytometry
• Environmental Biotechnology
• +۵ مورد دیگر

Prof. Dr. Susann Müller is Senior Scientist and Group Leader of the Flow Cytometry Working Group at the Department of Applied Microbial Ecology, Helmholtz Center for Environmental Research (UFZ) in Leipzig, Germany. Since 2011, she has held an Associate Professor position for Microbiology at Leipzig University’s Faculty of Life Sciences, bridging fundamental microbial ecology with environmental biotechnology applications through single-cell analytics. Education: 1985: Diploma in Biochemistry, Martin Luther University Halle-Wittenberg 1992: PhD, University of Halle-Wittenberg (Population dynamics of S. cerevisiae) 2003: Habilitation, Technical University Dresden (Multiparametric Cytometry) Her research pioneers microbial community flow cytometry to extract single-cell high-dimensional data, applying macroecological concepts to quantify stability metrics (resistance, resilience, displacement speed, elasticity) in engineered systems. Current focus includes bio-based circular economy initiatives: developing the carboxylate platform for sustainable chemical production and biological phosphate recovery from wastewater streams for resource valorization. Recent publications (2021-2025) reveal consistent innovation in flow cytometry applications, with emphasis on stability assessment in bioreactors, predator-prey dynamics in complex communities, and real-time monitoring of wastewater systems. She integrates ecological theory with multi-omics and data science to decode microbial assembly principles across environmental, agricultural, and industrial contexts. Professional roles: President, German Society of Cytometry (DGfZ, 2008-2010) Associate Editor, Microbiology for Cytometry Part A ISAC Educational Committee (2011-2012) and Scholars Program Committee (2013-2015) Current grants: PHOM project (SMWK InfraProNet 2024-2027): €449,160 for wastewater phosphorus recovery Z-PROJECT (DFG 2022-2025): €556,550 for bacterial biofilm analysis PROMICON (EU H2020 2021-2025): €200,000 for industrial microbiome consortia Moore Foundation (2020-2024): $23,000 for archaeal evolutionary tools Chinese Scholarship Council (2022-2026): Artificial community construction The Flow Cytometry Working Group under her leadership at UFZ develops standardized mock communities (Nature Protocols 2020), automated analysis tools (flowEMMi), and cytometric barcoding methods. It collaborates with Leipzig University, Technical University Dresden, and international partners including UC Santa Barbara, driving innovations in real-time environmental monitoring and wastewater treatment optimization.

Robert Nordonمشاهده پروفایل

دانشیار

• Biomedical Engineering
• Advanced Manufacturing
• Medical Technologies
• +۵ مورد دیگر

Associate Professor Robert Nordon is a faculty member at UNSW Sydney's Graduate School of Biomedical Engineering. He holds an MB BS, BMedSci, and PhD, with research focusing on advanced manufacturing and medical technologies. Since 2016, he has secured over $5M in research grants for projects in point-of-care diagnostics, cell/gene therapy manufacturing, and stem cell science. Research interests span three primary domains: Developing microfluidic single-use disposables for scalable clinical cell production Modeling cardiovascular development using stem cell-based microfluidic systems Creating computational tools for single-cell analysis and lineage tracking His publications (2017-2024) demonstrate strong emphasis on microfluidic device engineering, stem cell dynamics, and biomaterials development. Recurring themes include hematopoietic stem cell expansion, cardiac cell behavior, and peptide-based biomaterials. Significant grants include: ARC Linkage Grant LP160100570: Scaling microfluidics for cell manufacture (2016-2019) ARC Linkage Grant LP160100573: 3D microstructures for medical devices (2016-2019) ARC Linkage Grant LP190100029: Electrophoretic cell sorters (2020-2023) CRC-P: Microbioreactor for affordable cell/gene therapy (2021-2023) Current research trainees include Farzaneh Ziaee and Eric Du.

Attila Kumanovicsمشاهده پروفایل

استاد بالینی

• Molecular genetic pathology
• Immunology
• Primary immunodeficiency diseases
• +۵ مورد دیگر

Attila Kumanovics, M.D., is a Clinical Professor in the Department of Laboratory Medicine and Pathology at Mayo Clinic in Rochester, Minnesota, USA. A board-certified clinical pathologist (American Board of Pathology, 2011) and molecular genetic pathologist (American Board of Pathology, 2012), he focuses on molecular and cellular immunology testing and the diagnosis of inborn errors of immunity. Education & Certifications Board Certification – Molecular Genetic Pathology, American Board of Pathology, 2012 Board Certification – Clinical Pathology, American Board of Pathology, 2011 M.D. (institution & year not specified in text) Research Focus Dr. Kumanovics’ research integrates cutting-edge molecular genetic techniques with clinical immunology to uncover the genetic underpinnings of primary immunodeficiency diseases. His work spans: Molecular Genetic Pathology: Development and validation of next-generation sequencing assays for HLA typing and immunodeficiency gene panels. Primary Immunodeficiencies: Identification and characterization of novel monogenic defects affecting immune cell development and function. Diagnostic Immunology: Optimization of flow-cytometric and functional assays for immune cell subset analysis and autoantibody detection. Publication Impact With 61 peer-reviewed publications from 1995 to 2025, Dr. Kumanovics has produced an influential body of work that advances both basic understanding and clinical practice. Landmark papers include the 2024 Science Advances study on ITPR3 variants, multi-author reviews on primary immunodeficiency diagnostic guidelines, and technical articles on next-generation HLA typing and flow cytometry. His research trajectory illustrates a steady evolution from foundational immunology and mouse models toward high-resolution genomic diagnostics and international consensus guidelines. Scientific Awards & Recognition Board Certification – Molecular Genetic Pathology, American Board of Pathology (2012) Board Certification – Clinical Pathology, American Board of Pathology (2011) Active contributor to American Academy of Allergy, Asthma & Immunology working groups Collaborations & Teams Dr. Kumanovics collaborates extensively within Mayo Clinic’s Department of Laboratory Medicine and Pathology, serving as a key resource for molecular genetic pathology consultations. He participates in multi-institutional consortia such as the Primary Immunodeficiency Diseases Committee of the American Academy of Allergy, Asthma & Immunology, co-authoring diagnostic frameworks that are used worldwide. Details of specific laboratories or grant funding were not disclosed in the provided text.

Asolina Braunمشاهده پروفایل

پژوهشگر ارشد

• Skin Immunology
• Autoimmunity
• Psoriasis
• +۷ مورد دیگر

Dr. Asolina Braun is a Senior Research Fellow at the Department of Biochemistry & Molecular Biology, Monash University. She actively supervises PhD students and contributes to research in Skin Immunology Psoriasis Pathogenesis Immunopeptidomics Tissue-Resident Memory T Cells . Education : Biology, Hannover Medical School Doctoral Degree in Immunology (Hannover Medical School, Germany, 2011–2014) Postdoctoral Fellowship with Francis Carbone and Thomas Gebhardt (Germany, 2014–2018) Research Focus : Her work explores HLA-Cw6-dependent antigen presentation and TRM cell survival factors in psoriasis, aiming to develop tolerization strategies for autoinflammatory skin diseases. She also pioneered tactile science communication methods for psoriasis outreach. Key Projects : Leading Psoriasis Antigen Triggers (2023–2025) Investigating Influenza Immune Cross-Protection (2024–2027) Validating HLA-Cw6 Antigen Presentation (2020–2022) Awards & Roles : DFG Fellowship Treasurer, Australian and New Zealand Society for Immunology (2018–2022) Executive Committee Member Collaborations span institutions in Australia, Germany, and Denmark, with expertise in flow cytometry , mass spectrometry , and MHC-peptide interactions .