جست‌وجوی استاد و پژوهشگر

• Medical Statistics
• Epidemiology
• Bayesian Network Analysis
• +۵ مورد دیگر

Mariaclelia Di Serio is a Full Professor of Medical Statistics (MEDS-24/A) at Vita-Salute San Raffaele University, Milan. She has held this permanent position since 2007 and served as Associate Professor at the same institution from 2005-2015. Since 2005, she has directed the University Centre for Statistics in Biomedical Sciences (CUSSB) at San Raffaele Science Park. International collaborations with institutions in Norway, Netherlands, Switzerland, Australia, Israel, and UK Executive Committee member of the International Biometric Society (2023-2026) Corresponding Member of Istituto Lombardo Accademia di Scienze e Lettere (2020-present) Her research focuses on Bayesian networks for complex disorders, longitudinal data modeling in oncology/virology, and bioinformatics for genomic analysis. She pioneered methods for competing risks dependence structures and Simpson paradox in survival analysis. Recent publications examine gene therapy safety , joint latent class models for clinical subgroups, and network-based approaches to healthcare data sharing. She contributes to statistical methodology for COVID-19 prognosis and platform trials in biomedical research. 2016: Awarded Nature Communications publication for HIV replication modeling 2015: Elected President of International Biometric Society (Italian region) As a tenured educator since 1998, she teaches Biostatistics at the Faculty of Medicine and contributes to multidisciplinary research in medical data science and public health .

Abdel Rahman Abdel Fattahمشاهده پروفایل

پژوهشگر

• Mechanobiology
• Tissue Engineering
• Extracellular Matrix (ECM) Dynamics
• +۷ مورد دیگر

Abdel Rahman Abdel Fattah is a Principal Investigator at CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences in Vienna, Austria. He previously held a postdoctoral position at CeMM (2022–2024) and KU Leuven (Belgium) (2018–2022). Education: BSc and PhD in Mechanical Engineering from McMaster University (Canada) Current Role: Lab Head at CeMM since 2024 Research Interests focus on multiscale mechanobiology, specifically how cells use mechanical forces and extracellular matrix (ECM) dynamics to coordinate tissue organization. His group combines bioengineered mechanical stimulation tools with advanced imaging and computational models to study: Dynamic Cellular and ECM Interactions in health and disease Mechano-Transcriptomic Mapping using spatial transcriptomics and atomic force microscopy (AFM) Computational Modeling of tissue organization via reaction-diffusion systems and positional information theory Disease Applications: Traumatic brain/spinal cord injuries and liver fibrosis Publications highlight interdisciplinary work across mechanobiology, bioengineering, and vascular pathology, with a focus on magnetic actuation, organoid modeling, and ECM dynamics. Articles appear in Nature Communications , Cell Reports , and Lab on a Chip . Recent studies (2024–2025) explore force-mediated vascular lesion growth and transcriptional hallmarks of aging using single-cell analysis. Technological Innovations include: Magnetic Microactuators for local organoid stimulation 3D Soft Microfluidic Systems for perfused tissues Diamagnetophoresis-Based Bioprinting Single-Cell Transcriptomic Atlases for mechanical stress responders

• Computational Biology
• Bioinformatics
• Mass Spectrometry Data Analysis
• +۵ مورد دیگر

Attila Kertesz-Farkas is a Hungarian-born academic currently serving as Assistant Professor at the Faculty of Computer Science, Department of Data Analysis and Artificial Intelligence, at the National Research University Higher School of Economics (HSE) in Moscow. Since 2021, he has also been Head of the Research and Educational Laboratory of Artificial Intelligence for Computational Biology. He joined HSE in 2015 after completing postdoctoral positions at the University of Washington and the International Centre of Genetic Engineering and Biotechnology. His educational background includes: Doctor of Science (2022) from National Research University Higher School of Economics PhD (2010) from University of Szeged Master's degree in Computer Science (2004) from University of Szeged Kertesz-Farkas's research focuses on the intersection of artificial intelligence and computational biology, particularly in mass spectrometry data analysis. His work spans computational proteomics, human gait analysis, and medical applications of machine learning. He develops novel algorithms for peptide identification, protein classification, and single-cell analysis, with applications ranging from cancer research to environmental contamination analysis. His research group actively explores how deep learning can improve the analysis of biological data that is inherently non-human readable. His scientific contributions have been recognized with several awards including a Letter of thanks from the Rector of HSE (December 2022), a Letter of gratitude from the Faculty of Computer Science (September 2021), and the Best presentation award at ICMLC 2023 conference. As an academic supervisor, Kertesz-Farkas mentors multiple PhD students working on diverse projects including generative models for mass spectrometry data, human gait control systems for prosthetics, and deep learning applications for single-cell analysis. His research is supported by the allowance for defending a doctoral dissertation (2022-2025) and various research projects at HSE. He leads the Laboratory of Artificial Intelligence for Computational Biology, which focuses on developing AI methods specifically tailored for biological data analysis problems. The laboratory conducts research in computational proteomics, medical applications of machine learning, and the development of tools for mass spectrometry data interpretation.

• Mucosal Immunology
• Intestinal Immunology
• Barrier Immunology
• +۴ مورد دیگر

William Winston Agace is a Professor in the Department of Immunology and Microbiology at the Faculty of Health and Medical Sciences, University of Copenhagen. He leads the Barrier Immunology Group and is affiliated with the Skin Immunology Research Center. His research focuses on understanding the cellular and molecular mechanisms regulating immune responses at barrier surfaces, primarily the intestine. His primary research areas include: Mucosal Immunology Intestinal Immunology Barrier Immunology Inflammatory Bowel Disease Dendritic Cells Fibroblasts Gut-Skin Axis Professor Agace leads several major research initiatives including the Center for Intestinal Immune Regulation (CIIR), which investigates how intestinal fibroblasts regulate intestinal immune function in health and disease. He is also part of the Gut Cell Atlas Consortium, generating a single cell transcriptional and proteomics atlas of immune niches in the human gut. Additionally, he investigates immune crosstalk along the Gut-Skin axis, exploring connections between intestinal and skin inflammation in patients with inflammatory bowel disease. His scientific work has resulted in numerous publications in high-impact immunology journals, with research spanning from fundamental mechanisms of mucosal immunity to potential therapeutic applications for inflammatory diseases. Professor Agace collaborates with researchers across institutions including Hvidovre Hospital, Technical University of Denmark, University of Calgary, and Stanford University.

Wei Sunمشاهده پروفایل

استاد

• Biostatistics
• Computational Biology
• Genomics
• +۵ مورد دیگر

Dr. Wei Sun is a Professor in the Biostatistics Program within the Public Health Sciences Division at Fred Hutchinson Cancer Center, with additional appointments as Member of the Immunotherapy Integrated Research Center (IIRC) and Translational Data Science Integrated Research Center (TDS IRC). He holds affiliated professor positions in Biostatistics at both the University of North Carolina at Chapel Hill and the University of Washington. His educational background includes: PhD in Statistics from University of California at Los Angeles (2007) MS in Statistics from University of California at Los Angeles (2004) BS in Statistics from Peking University, Beijing (2002) Dr. Sun specializes in developing statistical and computational methods for multi-omics data integration, with emphasis on cancer genomics, proteomics, and immunomics. His work pioneers deep learning applications for T cell receptor analysis, HLA typing, neoantigen prediction, and tumor microenvironment characterization using single-cell and spatial transcriptomic technologies. Current research bridges biostatistics with AI-driven cancer diagnostics. His recent publications (2021-2023) demonstrate leadership in cell-type-specific computational frameworks for RNA-seq and spatial omics, with significant contributions to neural network models for immunogenomics and foundational methods for eQTL mapping. Work consistently targets translational applications in tumor heterogeneity and liquid biopsy development. Major recognitions include: Elected Fellow of the American Statistical Association (2017) Junior Faculty Development Award from UNC-Chapel Hill (2010) As Principal Investigator, Dr. Sun leads multiple NIH-funded projects including deep learning for single-cell transcriptomics, statistical methods for gene-phenotype associations using MorPhiC resources, and liquid biopsy consortium coordination for cancer early detection. His grants emphasize cross-institutional collaboration with UW and UNC. He directs the Sun Lab at Fred Hutch—a MorPhiC-affiliated research group focused on creating open-source computational tools for tumor immunology and precision oncology, with active partnerships across the Immunotherapy and Translational Data Science Integrated Research Centers.

• Plant Cell Biology
• Plant Physiology
• Structural Cell Biology
• +۵ مورد دیگر

Dr. Michael Melzer is Head of the Research Group Structural Cell Biology at the Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) in Gatersleben, Germany, a position he has held since 1999. His research focuses on plant cell structure and function, particularly in barley and related cereal crops, with emphasis on cellular mechanisms underlying stress responses, photosynthesis, and developmental processes. Dr. Melzer earned his PhD from Julius-Maximilians-Universität Würzburg (1990-1995), following a Diploma degree from University of Konstanz (1987-1990) and an Intermediate diploma from University of Regensburg (1984-1986). After completing his doctoral studies, he conducted postdoctoral research at IPK Gatersleben from 1995 to 1998 before establishing his independent research group. His research program investigates fundamental cellular processes in plants, with particular focus on chloroplast biology, vascular development in cereal spikes, grain quality traits, and molecular mechanisms of drought tolerance. Recent work employs advanced techniques including single-nuclei sequencing, multi-omics approaches, and detailed anatomical analyses to understand cell-type specific functions in plant stress responses and development. His laboratory has made significant contributions to understanding strigolactone signaling in drought response, vitamin biosynthesis in chloroplasts, and the cellular basis of barley grain development. Analysis of Dr. Melzer's publication record reveals a consistent research trajectory focused on plant cell biology with increasing emphasis on stress responses and crop improvement applications. His most recent publications (2023-2025) demonstrate continued innovation in methodologies and expansion into data management infrastructure for plant research. The interdisciplinary nature of his work bridges molecular biology, biochemistry, anatomy, and physiology to address fundamental questions in plant science with potential applications for sustainable agriculture. Dr. Melzer maintains extensive collaborations with researchers across IPK Gatersleben and internationally, as evidenced by his co-author networks spanning multiple institutions. His contributions to the field are recognized through publications in high-impact journals including Plant and Cell Physiology, Journal of Experimental Botany, The Plant Cell, and BMC Plant Biology. As leader of the Structural Cell Biology research group, Dr. Melzer oversees investigations into cellular mechanisms that underpin plant growth, development, and environmental adaptation. His current research directions include elucidating the cellular basis of drought tolerance in cereals, investigating vitamin biosynthesis pathways, and understanding developmental programs in cereal endosperm, with implications for improving crop resilience and quality in changing climate conditions.

James Koltesمشاهده پروفایل

دانشیار

• Bioinformatics
• Genetics & Genomics
• Phenomics
• +۳ مورد دیگر

James Koltes is an Associate Professor in the Department of Animal Science at Iowa State University. His research focuses on leveraging genetics, genomics, and bioinformatics to address challenges in livestock production, particularly improving feed efficiency and sustainability in dairy and swine systems. He holds a PhD in Genetics (with a Statistics minor) from Iowa State University and a BS in Dairy Science and Genetics from the University of Wisconsin-Madison. Dr. Koltes leads projects such as the Farm Animal Genotype-Tissue Expression (FarmGTEx) initiative and the Resilient Dairy Genome Project, aiming to enhance understanding of genomic and phenotypic relationships in livestock. His work integrates multi-omics data, including transcriptomics and epigenomics, to identify genes and pathways influencing feed efficiency, methane emissions, and other critical traits. Collaborative efforts involve international teams through initiatives like the ruminant telomere-to-telomere (rt2t) consortium and the FAANG (Functional Annotation of Animal Genomes) project. Key areas of research include analyzing dietary fatty acid impacts on animal physiology, developing FAIR-compliant data ecosystems for agricultural genomics, and applying high-throughput phenotyping technologies. His lab emphasizes translational research, with applied outcomes like improving dairy cattle breeding decisions and mitigating environmental impacts. Education and outreach activities include student internships (e.g., summer feed efficiency genetics programs) and creating educational resources on animal genetics via YouTube. Research Themes: Functional genomics, feed efficiency, precision livestock farming Key Tools: Single-cell transcriptomics, genomic selection models, sensor-based phenotyping Collaborations: USDA-NIFA, NRSP8, international dairy and beef cattle networks His publications highlight advancements in genomic annotation, microbiome associations with feed efficiency, and epigenetic regulation of livestock traits. Current projects aim to bridge gaps between basic genetic research and agricultural industry applications, fostering sustainable livestock systems.

• Astrobiology
• Biogeochemistry
• Microbial Ecology
• +۳ مورد دیگر

Elizabeth Trembath-Reichert is an Assistant Professor in the School of Earth and Space Exploration at Arizona State University (ASU). She holds affiliations with the Water Institute and the Microbiology (PhD) program. Her research integrates geochemical, genomic, and statistical methods to study microbially mediated processes in extreme environments, focusing on global biogeochemical cycles and microbial activity in hot springs, deep subsurface, and atmospheric systems. She explores astrobiological questions through terrestrial and oceanic analogs, such as hydrothermal vents and permafrost. Education & Background: While specific degrees are not detailed, her work reflects expertise in geobiology, microbiology, and environmental chemistry. She has conducted fieldwork in locations like New Zealand's Waikite Valley, Hawaii's Lo'ihi Seamount, and Antarctica's permafrost regions. Research Interests: Her work emphasizes microbial sulfur metabolism, microbial survival strategies in extreme environments, and the role of microbes in carbon and nitrogen cycles. She investigates life detection methodologies in planetary analogs, including atmospheric sampling via high-altitude balloons (HERA platform) and subseafloor drilling projects. Her group combines single-cell omics, stable isotope probing, and transcriptomics to dissect microbial ecophysiology. Grants & Collaborations: Her projects involve interdisciplinary collaborations, such as the SUBSEA expedition to Lo'ihi Seamount and the North Pond subseafloor study. Funding sources likely include NASA Astrobiology Institute and NSF grants given her focus on astrobiology and deep biosphere research. Labs & Teams: She leads the Trembath-Reichert Lab, focusing on geobiological and astrobiological research. Affiliations with ASU's Water Institute and School of Life Sciences enable cross-disciplinary projects on environmental microbiology and microbial ecology.

• Single-Cell Genomics
• Computational Biology
• Multi-Omic Integration
• +۲ مورد دیگر

Kelly Street is an Assistant Professor of Population and Public Health Sciences in the Division of Biostatistics at the Keck School of Medicine, USC. His research develops computational methods for high-dimensional genomic data with focus areas in: Single-cell RNA sequencing trajectory analysis Multi-omic integration of chromatin structure and gene expression Cancer immunology and tumor microenvironment profiling Dr. Street created widely-used tools like Slingshot for cell lineage inference. Recent work includes spatial analysis of immune exhaustion in transplant rejection and normalization frameworks for ATAC-seq data.

Paul Cohenمشاهده پروفایل

استاد بالینی

• Gynaecological Cancers
• Ovarian Cancer
• Chemotherapy Resistance
• +۴ مورد دیگر

Paul Cohen is a Clinical Professor in the Division of Obstetrics and Gynaecology at the UWA Medical School, The University of Western Australia. He is also a Consultant at The Western Australian Gynaecological Cancer Service and a Clinical Research Fellow at the Harry Perkins Institute of Medical Research. His academic roles include editorial board memberships for International Journal of Gynecological Cancer and Scientific Reports . Education : Doctor of Medicine (MD), University of Auckland (2010), thesis: The Role of Oestrogen Receptor Beta in Ovarian Granulosa Cell Tumours BM BCh (Medicine), MA (Physiological Sciences), BA (Physiological Sciences), University of Oxford (1997–2001) Research Interests : Cohen’s work focuses on chemotherapy resistance in high-grade serous tubo-ovarian cancer, clinical trial design, and improving patient outcomes through innovations like the pathological chemotherapy response score (CRS). He leads national and international trials, including the Getting the MOST out of follow-up randomized controlled trial, and investigates genetic susceptibility (e.g., HELB gene in ovarian cancer). Recent Article Trends : His 2024–2025 publications emphasize genetic epidemiology, clinical trial implementation, and precision oncology, with contributions to understanding HPV-associated cancers and spatial transcriptomics in tumor microenvironments. Awards : 2024: UWA Medical School Excellence in Research (Mid-Career) 2022: UWA Excellence in Teaching Award 2021: Top Reviewer, International Journal of Gynecological Cancer Advising & Grants : Supervised 4 PhD, 3 MSc, and 3 MD students Principal Investigator for grants totaling over AUD 10M from MRFF, ANZGOG, and Cancer Research Trust Labs/Teams : Collaborates with ANZGOG, OTTA Consortium, and the Harry Perkins Institute of Medical Research. Leads the OVARIAN study and ADELE trial on endometrial cancer treatments.

Wenbo Guoمشاهده پروفایل

استادیار

• Machine Learning
• Cybersecurity
• AI Security
• +۳ مورد دیگر

Wenbo Guo is an Assistant Professor and Zhu Chair in the Department of Computer Science at the University of California, Santa Barbara (UCSB). He holds a PhD from Pennsylvania State University and a Master's from Shanghai Jiao Tong University. His research focuses on the intersection of machine learning and security, particularly in AI agents, LLM code reasoning, and agent security/safety. He actively explores reinforcement learning for security applications, explainable AI, and robustness of large models. Guo's work includes designing foundation models for security problems, developing tools like PatchPilot and Co-PatcheR for software engineering, and defending against adversarial attacks. He leads the Agent Security team at Virtue AI, a startup addressing frontier AI security. His honors include the IBM Fellowship Award, Google ML Junior Faculty Award, and multiple conference recognitions. Education: PhD (Penn State), MS (Shanghai Jiao Tong) Affiliations: UCSB Computer Science, Virtue AI (Head of Agent Security) Labs: BAIR Lab (UC Berkeley), RDI Center Grants include the UCSB Faculty Research Grant (2025), Google ML Award (2025), and Amazon Research Award (2024). He advises on cybersecurity challenges in AI and collaborates with industry partners like DARPA and FAR AI. His CTF engagements include Shellphish and Geekpwn competitions, emphasizing practical security testing.

Stephanie Hicksمشاهده پروفایل

دانشیار

• Single-cell genomics
• Spatial transcriptomics
• Computational methods development
• +۳ مورد دیگر

Dr. Stephanie Hicks is an Associate Professor in Biomedical Engineering and Biostatistics at Johns Hopkins University, with affiliations in multiple centers including the Malone Center for Engineering in Healthcare and the Center for Computational Biology. Her research focuses on developing computational methods and open-source software for analyzing single-cell and spatial transcriptomics data to enhance understanding of human health and disease. She holds a PhD from Rice University and completed postdoctoral training at Dana-Farber Cancer Institute and Harvard. Education: B.S. Mathematics (LSU), M.A./Ph.D. Statistics (Rice University), Postdoc in Biostatistics/Data Science (Dana-Farber/Harvard). Research interests span scalable computational methods, machine learning, and biomedical data science. Notable contributions include tools like SpotSweeper for spatial transcriptomics quality control and the spatialLIBD package for spatial data visualization. Awards include Fellow of the American Statistical Association, COPSS Emerging Leader Award, and Myrto Lefkopoulou Lectureship. She co-hosts the Corresponding Author podcast and actively promotes open science through initiatives like R-Ladies Baltimore. Labs/Teams: Leads the Hicks Lab, collaborates across departments at Johns Hopkins, and engages in interdisciplinary projects in spatial genomics and computational biology.

• Mass Spectrometry
• Lipidomics
• Metabolomics
• +۳ مورد دیگر

Reuben Young is an Associate Research Fellow at the University of Wollongong's School of Chemistry and Molecular Bioscience within the Faculty of Science, Medicine and Health. His work focuses on advancing mass spectrometry-based technologies for lipidomics and metabolomics, particularly in studying disease mechanisms such as osteoarthritis, cancer, and neurodegenerative conditions. Key research themes include spatial metabolite imaging, lipid isomer characterization, and development of novel analytical techniques like ozone-induced dissociation and MALDI-2 oversampling. His research has been supported by grants such as 'Sparking and fading: Spatially linking the complex metabolic activities of neurotransmitters and lipids during cell death' (2023-2024), investigating neurodegeneration mechanisms, and an equipment grant for mass spectrometry facility maintenance (2023). He collaborates extensively with peers globally, evidenced by co-authorships on over 30 publications. Recent publications emphasize lipidomic profiling in cancer progression, enzymatic activity mapping in osteoarthritis, and peptide-based cancer therapies. His work bridges fundamental analytical chemistry with biomedical applications, contributing to both instrumentation innovation and disease biomarker discovery.

Martin Hansenمشاهده پروفایل

دانشیار

• Environmental Contamination & Chemicals
• Metabolomics
• Mass Spectrometry
• +۶ مورد دیگر

Martin Hansen is an Associate Professor at the Department of Environmental and Resource Engineering , Technical University of Denmark (DTU). His research focuses on environmental contamination, metabolomics, and Greenland Ice Sheet biological darkening. He leads projects like PestNet and PharmaRisk , and supervises PhD students in non-target chemical analysis. Key Research Areas: Metabolomics, Mass Spectrometry, Ice Sheet Biogeochemistry, Environmental Risk Assessment Current Projects: Computational non-target chemical analysis, Drinking water quality monitoring, Pesticide risk evaluation His 2025 articles emphasize non-target chemical screening , Greenland Ice Sheet microbial ecology , and molecular networking . He collaborates with researchers across Europe and contributes to SDGs like Clean Water (6) and Climate Action (13).

• Neuro-Oncology
• Glioblastoma Research
• Immunotherapy Development
• +۳ مورد دیگر

Dr. Ian F. Parney is a Professor of Neurosurgery and Vice Chair for Research at the Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota. He holds a joint appointment in the Department of Immunology and serves as Mayo Clinic Enterprise Chair for Neurosurgery Research. He is affiliated with the Mayo Clinic School of Medicine Admissions Oversight Committee and multiple national neurosurgical organizations. Education: MD and PhD from the University of Alberta, postdoctoral training at UCSF Brain Tumor Research Center. Specializes in malignant brain tumor surgery, immunotherapy development, and neuro-oncology clinical trials. Active in education, supervising students, residents, and fellows. Research focuses on glioblastoma immunology, improving surgical techniques (intraoperative MRI, awake brain surgery), and developing immunotherapies like tumor vaccines. Leads clinical trials for brain tumor vaccines and immune therapies. Awards include Best Doctors in America (2007, 2009), Governor General's Gold Medal (1999), and multiple research fellowships. Serves on committees for professional societies like AANS/CNS Tumor Section and Society for Neuro-Oncology. Leadership roles include chairing neurosurgery research committees and coordinating national brain tumor research networks.