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Mark AdamsView profile

Academic

• Biochemistry and Cell Biology
• Oncology and Carcinogenesis
• Genomics
• +2 more

Dr. Mark Adams is a Senior Research Fellow at the Faculty of Health, School of Biomedical Sciences, Queensland University of Technology (QUT). With a PhD in Genomics from QUT and postdoctoral experience at the Translational Research Institute (TRI), his research focuses on exploiting cellular programs regulating genome instability, cell cycle, and growth to develop novel therapeutic strategies for lung cancers. Education: PhD (QUT), Bachelor of Applied Science (Honours) in Life Science (QUT), Bachelor of Applied Science in Biotechnology (QUT) His work published in journals like Nature Communications and Nucleic Acids Research explores: DNA repair mechanisms in cancer cells Therapeutic targeting of cell cycle regulators Spatial profiling of tumor microenvironments Computational approaches to drug discovery Scientific contributions include: Patent filings for cancer therapies Funding from NHMRC and Cancer Australia Over 10 major awards including the Young Tall Poppy Award Articles demonstrate expertise in: Lung cancer immunotherapy response prediction Novel protein interactions in DNA repair Metabolic regulation of DNA damage pathways Spatial heterogeneity in tumor biology Translational models for precision medicine

• Neurosciences
• Mental Health
• Neurobiology
• +6 more

Dr. Natalie Matosin is a Research Fellow and Director of the MINDS Lab (Mental Illness, Neurobiology, and Disorders of Stress) at the University of Sydney's Charles Perkins Centre. She holds prestigious fellowships, including the Sydney Horizon Fellowship and the Al & Val Rosenstrauss Rebecca L Cooper Medical Research Foundation Fellowship. Her research focuses on single-cell resolution analysis of brain cells to develop personalized therapies for brain illnesses such as mental disorders, dementias, and traumatic brain injury. She has established an independent laboratory at the University of Wollongong in 2018 before joining Sydney. Education: Dr. Matosin earned her PhD in neuroscience from the University of Wollongong in 2015. Postdoctoral training at UNSW Sydney and the Max Planck Institute of Psychiatry in Munich honed her expertise in next-generation sequencing and advanced histology techniques for analyzing postmortem human brain tissue. Research Interests: Her work integrates molecular biology, bioinformatics, and translational research to study stress physiology, synaptic pathology, and epigenetic mechanisms (e.g., DNA methylation of FKBP5). Key themes include the pathogenesis of psychiatric disorders such as schizophrenia and depression, as well as the impact of stress on brain structure and function. She emphasizes interdisciplinary approaches, leveraging spatial omics and multi-omic data to map disease mechanisms. Scientific Awards: Forbes 30 Under 30 in Europe (2020), TEDx speaker, NHMRC Fellow, International Brain Research Organisation Fellow, Humboldt Foundation Fellow. Advising & Grants: Matosin leads international collaborations and has secured grants including the Australian Research Council Discovery Projects (DP24), Sydney Horizon Fellowship (2023), and Faculty of Medicine and Health startup funding (2024). Her grants investigate adult neurogenesis, cortical aging effects, and stress-induced molecular changes in psychiatric disorders. While no specific advisees/students are listed, her lab (MINDS) actively engages in collaborative research across multiple countries. Labs & Teams: The MINDS Lab is central to her work, focusing on neurobiology of stress and mental health. Her team spans institutions in Australia, USA, Canada, Germany, Croatia, Iceland, and Sweden, emphasizing global partnership in translational neuroscience projects.

Peter O'TooleView profile

Professor

• Fluorescence Imaging
• Flow Cytometry
• Microscopy Technology Development
• +3 more

Dr. Peter O'Toole is Head of Imaging and Cytometry and a Professor in the Department of Biology at the University of York. He leads the Imaging and Cytometry Laboratory, a top European facility equipped with state-of-the-art equipment from collaborators like Carl Zeiss and Beckman Coulter. His research focuses on microscopy technology development, with expertise in fluorescence imaging, flow cytometry, and super-resolution techniques. He holds grants from Wellcome Trust, BBSRC, and others, including a £954k Wellcome Trust grant for hyperspectral imaging technology. O'Toole is also Vice President of the Royal Microscopical Society and chairs major microscopy conferences. His educational background includes a PhD in Cell Biophysics from the University of Essex (1998) and a BSc from the same institution (1994). Research interests include developing imaging tools for biomedical applications, immunometabolism, and live-cell analysis. He collaborates internationally on projects like PHENOSPOT and the UK Coronavirus Immunology Consortium. His lab supports cutting-edge projects such as spatial omics and therapeutic vaccine development for leishmaniasis. O'Toole organizes microscopy courses and has pioneered facility meetings for the microscopy community. Grants total over £20M, with recent focuses on deep learning in imaging, immune system metabolism, and hyphae characterization. Key roles include Director of the Bioscience Technology Facility and membership in grant panels for BBSRC, MRC, and Wellcome Trust. His team includes Senior Technicians and PhD students like Laura Wiggins, advancing imaging technologies and collaborative research.

• Machine Learning
• Biomedical Informatics
• Medical Genomics
• +3 more

Prof. Gunnar Rätsch is a Full Professor in the Department of Computer Science at ETH Zürich and Deputy Head of the Institute for Machine Learning. His research focuses on developing machine learning methods for biomedical applications, including genomics, medical imaging, and clinical decision support systems. He specializes in integrating multi-omics data, spatial transcriptomics, and time-series analysis to address challenges in precision medicine and critical care. His work emphasizes ethical AI frameworks, algorithmic fairness, and robust clinical prediction models. Key research areas include: Deep learning for medical imaging and histopathology Single-cell analysis and tumor profiling Reinforcement learning for treatment optimization in ICUs Multimodal data integration for clinical applications Recent work highlights advancements in: Standardizing single-cell cytometry readouts for clinical use Developing foundation models for critical care time-series analysis Creating interpretable survival models for ICU patients His contributions span foundational machine learning theory and applied healthcare technologies, with a focus on translational research to improve clinical outcomes. Current projects include the Tumor Profiler Study for multi-omic tumor analysis and ethical frameworks for clinical AI systems.

Yang LiuView profile

Assistant Professor

• Spatial Omics
• Cancer Research
• Neurological Diseases
• +5 more

Yang Liu, PhD, is an Assistant Professor in the Department of Pathology at Yale School of Medicine. He specializes in developing spatial multi-omics technologies, including DBiT-seq and Spatial-CITE-seq, which enable high-resolution analysis of RNA, proteins, and epigenetic markers in tissues. His research focuses on applying these techniques to study tumor microenvironments, neurological diseases, cardiovascular disorders, and developmental biology. Dr. Liu holds a PhD in Environmental Toxicology from the University of California, Riverside, and has conducted postdoctoral research at Yale since 2018 under Dr. Rong Fan. Education: PhD, Environmental Toxicology, University of California, Riverside (2017) MS, Computer Science, University of California, Riverside (2017) MS, Analytical Chemistry, Chinese Academy of Sciences (2011) BS/BE, Computer Science & Environmental Engineering, Huazhong University of Science & Technology (2008) His lab develops cutting-edge spatial omics tools to address complex biological questions. Recent work includes studying the CD24-Siglec axis in inflammatory diseases and investigating integrin-mediated signaling in cardiovascular pathologies. Dr. Liu has received prestigious awards including the NIH HuBMAP Jumpstart Award and R35 MIRA grant. Awards: SITC-SU2C Convergence Scholar Award (2019) NIH HuBMAP Jumpstart Award (2021) R35 Maximizing Investigators' Research Award (202X) Collaborations with clinicians and engineers at Yale advance translational research, particularly in leveraging spatial omics for precision medicine. His lab seeks to recruit graduate students and postdocs passionate about interdisciplinary technology development.

• Bayesian statistics
• Spatial statistics
• Shape analysis
• +3 more

Qiwei Li is an Assistant Professor of Statistics in the Department of Mathematical Sciences at The University of Texas at Dallas. He holds a Ph.D. in Statistics from Rice University (2016), an M.A. in Statistics from Rice University (2015), an M.Phil. in Information Engineering from The Chinese University of Hong Kong (2010), a B.Sc. in Economics from Peking University (2009), and a B.Eng. in Electronic Engineering from Tsinghua University (2008). His research focuses on developing AI-powered Bayesian statistical methodologies and machine learning approaches to analyze high-dimensional, spatial, and shape data. Key areas include Bayesian clustering, spatial transcriptomics, microbiome community detection, and integrative omics analysis. He is actively involved in advancing methodologies for spatial molecular profiling and disease-relevant gene discovery. Recent publications highlight contributions to spatial transcriptomics integration, microbiome analysis, and health outcome studies. His work bridges statistical theory with biomedical applications, addressing challenges in genomics, imaging, and clinical data interpretation. Dr. Li is seeking highly motivated Ph.D. and undergraduate students to join his research group, offering financial support. He emphasizes interdisciplinary collaboration and innovation in statistical methodologies for solving complex biomedical problems.

• Bioinformatics
• Genomics
• Proteomics
• +4 more

Rolando Garcia Milian is a Biomedical Sciences Research Support Librarian and Lecturer in Environmental Health Sciences at Yale School of Public Health. He oversees the Bioinformatics Support Program at Yale Medical Library, providing resources and training for omics data analysis. His academic roles include lectureship in Epidemiology and affiliations with the Center for Biomedical Data Science and the NIDA Neuroproteomics Center. Education: MLS from Southern Connecticut State University (2012) and a Biomedical Informatics Fellowship from Marine Biological Laboratory/National Library of Medicine (2012). Research focuses on bioinformatics support, proteomics, and toxicology, with contributions to studies on cancer genomics, neurodegenerative diseases, and immune responses to pathogens. Collaborations include work with departments across Yale School of Medicine and School of Public Health. Key research interests span molecular mechanisms in environmental health, genomic data integration, and translational bioinformatics. His Bioinformatics Support Hub aids researchers in data management and omics analysis. Recent work includes studies on breast cancer subtyping, cannabinoid effects on synaptic integrity, and immune checkpoint modulation by mosquito saliva. Grants and funding: Not explicitly listed but inferred through collaborative projects. Active in academic committees like the Institutional Animal Care & Use Committee and the Yale Superfund Research Center. Publications emphasize multi-omics approaches and translational research applications in oncology and environmental health. Labs/Teams: Bioinformatics Support Hub, Vasiliou Lab (collaborative), and the Medical Library Bioinformatics Support Program network. Engaged in interdisciplinary initiatives like the Autologous Humanized PDX Modeling Project and the 1,4-Dioxane Toxicity Research Group.

Bernd BodenmillerView profile

Professor

• Cancer Biology
• Systems Biology
• Imaging Mass Cytometry
• +3 more

Prof. Dr. Bernd Bodenmiller is a full Professor in Quantitative Biomedicine at the University of Zurich (UZH) and ETH Zurich. He leads the Department of Quantitative Biomedicine (DQBM) and holds a dual professorship between UZH and ETH. His research focuses on developing experimental and computational methods to study cancer biology at the single-cell level, particularly using imaging mass cytometry (IMC) to analyze tumor ecosystems. Education: Ph.D. in Systems Biology from ETH Zurich (2008) Postdoctoral training at ETH Zurich (2008-2009) and Stanford University (2009-2012) Research Interests: Bodenmiller’s lab investigates the regulatory systems governing cancer development, including tumor heterogeneity, immune interactions, and spatial organization of tumor cells. They pioneer technologies like IMC and 3D imaging to map cellular phenotypes and spatial networks in tumors. Key Contributions: The lab has developed tools such as the histoCAT software for IMC data analysis and contributed to understanding cancer-associated fibroblast heterogeneity. Their work bridges basic research with clinical applications, aiming to improve precision oncology through multi-omics approaches. Awards: Friedrich Miescher Prize (2019) ERC Consolidator Grant (2019)

• Proteomics
• Glycomics
• Mass Spectrometry
• +5 more

Hartmut Schlüter is a Professor at the Institute of Clinical Chemistry and Laboratory Medicine at the University Medical Center Hamburg-Eppendorf (UKE). His extensive research profile demonstrates leadership in proteomics, glycomics, and mass spectrometry with significant contributions to cancer research and clinical applications. As evidenced by his numerous publications in high-impact journals, Professor Schlüter maintains an active research program with collaborations spanning multiple disciplines and institutions. Professor Schlüter's research interests center on the application of advanced proteomic and glycomic techniques to understand disease mechanisms, particularly in cancer. His work spans multiple areas including extracellular vesicle analysis, N-glycosylation profiling, metabolomics, and the development of novel analytical methods. His research has significant implications for cancer diagnostics, biomarker discovery, and therapeutic development, with particular focus on breast cancer, prostate cancer, and various other malignancies. The interdisciplinary nature of his work bridges biochemistry, molecular biology, and clinical medicine to address critical challenges in disease detection and treatment. Analysis of Professor Schlüter's recent publications reveals a strong trend toward multi-omics approaches, particularly integrating proteomics with glycomics to understand cancer biology at a systems level. His work increasingly focuses on extracellular vesicles as diagnostic and therapeutic tools, with applications in liquid biopsy development for early cancer detection. The research also demonstrates growing interest in spatially resolved proteomics using advanced tissue sampling techniques like nanosecond infrared laser ablation, enabling unprecedented cellular-level analysis of tissue architecture. Professor Schlüter appears to be actively involved in mentoring and collaborative research, with numerous publications featuring multiple co-authors from diverse research groups. His work is supported by various research projects including international collaborations and funding from organizations such as the China Scholarship Council, DAAD, and Horizon 2020 Marie Sklodowska-Curie Actions. His laboratory appears to specialize in advanced proteomic and glycomic analysis, with particular expertise in mass spectrometry-based techniques. The research team has developed specialized methodologies for tissue sampling, proteoform analysis, and glycan characterization that have been applied across multiple disease contexts including cancer, cardiovascular disease, and neurological disorders.

Federica EduatiView profile

Associate Professor

• Systems Biology
• Oncology
• Computational Biology
• +5 more

Federica Eduati is an Associate Professor in Systems Biology for Oncology at the Department of Biomedical Engineering at Eindhoven University of Technology (TU/e). She leads a research group focused on developing interpretable computational models to understand differential patient responses to cancer therapies and create personalized treatment strategies. Her work integrates multi-modal data including omics, imaging, and microfluidics-generated experimental data to study tumor-immune interactions and signaling dynamics. Dr. Eduati holds a BSc in Biomedical Engineering (2006) and MSc in Bioengineering (2008) from the University of Padova, Italy (both cum laude), and completed her PhD in Systems Biology in 2013. Her postdoctoral training included an EMBL EIPOD Marie Curie fellowship split between EMBL-EBI (Cambridge) and EMBL-HD (Heidelberg). Her research focuses on: Developing multiscale spatial models of tumor microenvironments Creating patient-specific models for precision oncology Identifying predictive biomarkers for immunotherapy response Integrating computational modeling with microfluidics technology Decoding tumor-immune cell interactions through spatial omics Her publications demonstrate strong emphasis on computational oncology approaches including spatial modeling of tumor microenvironments, machine learning for biomarker discovery, integration of multi-modal data sources, and developing personalized therapy prediction systems. Recent work focuses on agent-based modeling, radiogenomics, and interpretable AI for clinical applications. Scientific awards and recognitions: Marie Curie Fellowship (EMBL EIPOD) Co-organizer of NIEHS-NCATS-UNC DREAM Toxicogenetics Challenge (2013) Multiple research outputs featured in press/media including expert commentaries on prostate cancer research and personalized cancer therapy She leads the Computational Biology group at TU/e and collaborates extensively with international research teams. Her lab develops advanced droplet microfluidics platforms for high-throughput drug screening and utilizes public data repositories for model validation.

Guanshi ZhangView profile

Assistant Professor

• Metabolomics
• Diabetic Kidney Disease
• Mitochondrial Biology
• +5 more

Dr. Guanshi Zhang is an Assistant Professor at the University of Texas Health Science Center at San Antonio (UTHSCSA), Department of Medicine, Division of Nephrology. He serves as Co-Director of the San Antonio Program for Undergraduate Research in Renal Science (SPURRS) and is actively seeking M.S. and Ph.D. students for his research program. Dr. Zhang is affiliated with the Center for Renal Precision Medicine, where he conducts cutting-edge research at the intersection of metabolomics, mitochondrial biology, and kidney disease. Dr. Zhang's research focuses on understanding how hyperglycemia and aging lead to cellular dysregulation in different organ systems, with particular emphasis on diabetic complications and aging-associated diseases. His laboratory employs advanced techniques including mass spectrometry imaging-based spatial metabolomics and lipidomics to investigate metabolic alterations in both human kidney disease and veterinary models. Early in his career, Dr. Zhang was trained in metabolomics, and during his postdoctoral training at the University of California San Diego, he expanded his expertise to mitochondrial biology of diabetic complications. His publication record demonstrates a dual focus: one strand of research examines diabetic kidney disease and metabolic alterations in human renal pathology, while another investigates metabolic biomarkers for diseases in dairy cows such as ketosis, mastitis, and lameness. His recent work has identified novel biomarkers and metabolic pathways involved in kidney injury, with particular attention to adenine metabolism, mitochondrial dysfunction, and spatial metabolomics in renal tissue. Dr. Zhang has made significant contributions to major collaborative efforts including the Kidney Precision Medicine Project. Dr. Zhang has contributed significantly to methodological advancements in mass spectrometry imaging, particularly regarding sample preparation and analysis reproducibility. His technical publications address critical issues that affect the reliability of spatial metabolomics data, providing essential protocols for the research community.

Jochen HampeView profile

Professor

• Liver Physiology and Disease
• Gastroenterology
• Hepatology
• +4 more

Prof. Dr. Jochen Hampe is W3 Professor for Internal Medicine and Gastroenterology at TU Dresden and Director of Medical Department 1, University Hospital Dresden. His Hampe Lab conducts systems medicine research focused on molecular mechanisms of liver physiology, regeneration, and diseases including hepatocellular carcinoma (HCC) and metabolic-associated steatotic liver disease (MASLD). Education and Career 2018: W3 Professor for Internal Medicine and Gastroenterology, TU Dresden 2013: W2 Professor for Gastroenterology, TU Dresden 2011: Extraordinary Professor, University of Kiel 2005: German Habilitation in Internal Medicine, University of Kiel 1996: MD thesis, Charité Medical School Berlin His research integrates genome-wide association studies (GWAS), single-nucleus sequencing (snRNA-Seq/snATAC-Seq), spatial transcriptomics, DNA-methylation analyses, and tissue-specific mouse KO-models with deep learning to characterize molecular changes in liver disease progression. Key disease targets include alcoholic cirrhosis, MASLD, gallstone disease, colorectal carcinoma, and inflammatory bowel disease, with emphasis on epigenetic changes and genetic risk variant validation. Publication trends (2015-2025) reveal evolving focus from genetic association studies toward AI-integrated multi-omics approaches, particularly in spatial transcriptomics for liver zonation and deep learning applications in medical imaging for cancer detection. Recent work increasingly emphasizes translational biomarker development for early disease detection. Scientific Awards Thannhauser Award, German Association of Gastroenterology (2007) Frerichs Award, German Association of Internal Medicine (2004) Ludwig-Heilmeyer Medal (2002) Julius Rosenbach Postdoctoral Scholarship (1997) DAAD Scholarship for UK Medical Studies (1993) Hampe actively mentors PhD students and leads a multidisciplinary team comprising postdocs, technicians, and bioinformaticians. His research is funded by European and German institutions including DFG and EU programs, supporting work at the interface of basic genomic research and clinical application. The lab maintains strong national/international clinic collaborations for cohort studies in complex liver diseases. The Hampe Lab operates state-of-the-art genomic and epigenomic facilities at TU Dresden, utilizing zonated liver analysis and AI-driven tissue imaging to develop personalized biomarkers. Current team includes 2 postdocs, 3 PhD students, technicians, and bioinformatics specialists working on MASLD progression and HCC early detection.

• Single-cell Biology
• Epigenetics
• Bioinformatics
• +7 more

Christoph Bock is a Principal Investigator at CeMM Research Center for Molecular Medicine and Professor of Medical Informatics at the Medical University of Vienna, where he also serves as Head of the Institute of Artificial Intelligence. He co-leads the Biomedical Sequencing Facility and plays a pivotal role in the Human Cell Atlas and the European Laboratory for Learning and Intelligent Systems (ELLIS). His lab integrates experimental and computational approaches to advance molecular medicine.

Kristin BergauerView profile

Researcher

• Marine Microbial Ecology
• Archaea Ecology
• Deep-sea Biology
• +7 more

Kristin Bergauer is a Junior Research Group Leader at the Ocean EcoSystems Biology Unit, RD3 , affiliated with GEOMAR Helmholtz Center for Ocean Research Kiel , Germany. She holds a Ph.D. in Bio-Oceanography (2010–2018) and an M.Sc. in Microbial Ecology (2006–2008) from the University of Vienna , mentored by Dr. Gerhard J. Herndl and Prof. Michael Wagner. Her research focuses on Marine Microbial Ecology , specializing in Archaea , Deep-sea Biology , Pelagic Nutrient Cycles , and Marine Metabolomics . She investigates vitamin cycling (e.g., B1), microbial interactions, and the role of chemoautotrophs in carbon fixation using multi-omics and BONCAT-FISH technologies. Her recent publications highlight VOC dynamics in coral reefs , vitamin B1 production in oxygen minimum zones, and metaproteomics of organic matter processing. She contributes to international programs like BioGeoSCAPES and FUTURO . Kristin mentors M.Sc. students and B.Sc. alumni , including Zoe Leonie Krause and Ana Kuonqui Fernandez. She participates in oceanographic expeditions (e.g., RV Alkor, RV Atlantic Explorer) for eDNA sampling and in situ pump deployments.

Minh Ngoc TranView profile

Researcher

• Bioinformatics
• Health Data Science
• Cancer Cell Biology
• +5 more

Dr Minh Ngoc Tran is a Researcher at the University of New South Wales (UNSW), affiliated with the Faculty of Medicine & Health Sciences. His work focuses on bioinformatics, health data science, and artificial intelligence applied to cancer research and molecular biology. Tran specializes in spatial analysis of cancer tissues, integrating single-cell sequencing with imaging to study tumor microenvironments and immune responses. His research also explores computational frameworks for multi-omics data and epigenetic mechanisms underlying aging and disease. Key areas of interest include colorectal cancer heterogeneity, SARS-CoV-2 pathogenesis, and translational bioinformatics for precision medicine. Tran's research employs advanced techniques such as spatial transcriptomics, multiplexed imaging mass cytometry, and AI-driven diagnostic models. His work bridges computational innovations with clinical relevance, particularly in oncology and infectious diseases. Recent projects include developing robust platforms for spatial multi-omics analysis and identifying early biomarkers for severe COVID-19 outcomes. While his articles emphasize cancer biology and immunology, they also highlight contributions to virology, epigenetics, and genomic technologies. Collaboration with interdisciplinary teams at UNSW and beyond drives his efforts to translate scientific discoveries into clinical applications.