جست‌وجوی استاد و پژوهشگر

• Transparent and Reliable AI
• Precision Biomedicine
• Personalized Healthcare
• +۴ مورد دیگر

Dr. Tapabrata Chakraborty is a Principal Research Fellow at University College London (UCL) Cancer Institute and an Honorary Associate Professor in UCL's Department of Medical Physics and Biomedical Engineering. He serves as Lead Tutor for Information Engineering at the University of Oxford's Engineering Science Department and is a non-stipendiary Fellow of Linacre College, Oxford. As Theme Lead for the Alan Turing Institute's partnership with Roche, he drives advancements in transparent AI for precision healthcare. He is an invited expert on Responsible AI with the Global Partnership on AI (GPAI) and an Associate Editor for Springer Nature Computer Science . His research focuses on developing reliable AI systems for biomedicine, particularly leveraging multimodal data (imaging, clinicogenomics) in cancer research. He emphasizes explainable AI mechanisms, personalized uncertainty quantification, and ethical AI governance. His work has led to tools like 2dSpAn-Auto for spine analysis and frameworks like Pan-Ret for retinal disease detection. Education: PhD (details unspecified) Key Roles: Turing-Roche Partnership Lead, GPAI Advisor, HEA/IET Fellow His publications highlight breakthroughs in medical AI, including uncertainty quantification and multimodal data fusion. He advocates clinician-AI collaboration and policy-driven AI safety. Current projects include fair AI for skin lesion classification and drug discovery via synthetic data generation. Awards: HEA Fellowship, IET Fellowship Team Leadership: Oversees early-career researchers at Turing/UCL

Menggang Yuمشاهده پروفایل

استاد

• Causal Inference
• Observational Studies
• Risk Prediction
• +۷ مورد دیگر

Dr. Menggang Yu is a Professor of Biostatistics at the University of Michigan School of Public Health. He holds academic leadership roles, including former Director of the Biostatistics Core at UW Carbone Cancer Center and Associate Director of the Center for Health Disparities Research. His expertise spans causal inference, clinical biostatistics, and precision health, with a focus on cancer and chronic disease research. Education: PhD in Biostatistics (University of Michigan, 2004), MS in Applied Statistics (Bowling Green State University, 1999), BS in Computational Mathematics (Fudan University, 1996). Research interests emphasize causal inference, risk prediction, and treatment selection, particularly in clinical trials and observational studies. His work addresses methodological challenges in healthcare, including optimal surveillance strategies and subgroup analysis. Key awards include the Distinguished Student Paper Award (ENAR 2023) and ASA Biometrics Section Travel Awards (2017, 2018). He collaborates widely, contributing to high-impact journals like Biometrics , Journal of the American Statistical Association , and Cancer Cell . Grants and lab involvement include leadership roles in cores for cancer research and health disparities. Courses taught include survival analysis, causal inference, and clinical trial biostatistics.

• Microbiome Research
• Hepatology
• Genetic Epidemiology
• +۳ مورد دیگر

Xinlian Zhang is an Assistant Professor in Residence at the Herbert Wertheim School of Public Health & Human Longevity Science at UC San Diego. Their research focuses on microbiome dynamics, liver diseases (including NAFLD and alcoholic hepatitis), and statistical modeling in biomedical contexts. Collaborations include work with institutions like Altman Clinical and Translational Research Institute. Key research areas include the role of mycobiome and virome in liver pathology, host-microbiota interactions, and the application of advanced statistical methods to microbiome data. Zhang has contributed to studies linking microbiota composition to disease severity, drug responses, and psychological factors like loneliness. Publications emphasize interdisciplinary approaches, integrating virology, microbiology, and computational biology. Notable work includes analyzing fecal mycobiome in NAFLD patients and identifying virome signatures in alcoholic hepatitis. Co-authors include prominent researchers like B. Schnabl and R. Loomba. No specific awards or grants are listed, but their work has been cited widely (e.g., 87+ mentions for a 2020 Gastroenterology paper). Collaborations span institutions within the UC system and beyond, reflecting a network engaged in translational and computational biomedical research.

Evan Biederstedtمشاهده پروفایل

پژوهشگر

• Computational Biology
• Cancer Genomics
• Bioinformatics
• +۳ مورد دیگر

Evan Biederstedt is an Associate in Biomedical Informatics at Harvard Medical School, affiliated with the Gehlenborg Lab. He holds a Master of Science (MSc) and specializes in computational biology with a focus on cancer genomics. His work includes developing the Cell Annotation Platform (CAP) to enhance cellular state interpretation through metadata and molecular signature analysis. Biederstedt’s research spans single-cell analysis, spatial transcriptomics, and genomic tools for structural variant discovery. His contributions include scaling cross-tissue annotation models and haplotype-aware somatic variation analysis. Key areas of focus include bioinformatics tool development, cancer genomics, and genomic data integration. He has collaborated on projects like the Virus Discovery Codeathon and international hackathons for genomic analysis. Biederstedt’s GitHub profile showcases his open-source contributions. His publications highlight advancements in tensor decomposition for patient cohort analysis, spatial transcriptomics, and pangenome strategies. Biederstedt’s work bridges computational methods with biomedical applications, emphasizing scalable solutions for complex genomic data challenges.

Walter O’Dellمشاهده پروفایل

دانشیار

• Medical Imaging
• Radiation Oncology
• Biomedical Engineering
• +۳ مورد دیگر

Walter O’Dell is an Associate Professor in the Department of Radiation Oncology at the University of Florida. His research focuses on developing novel image analysis and computational techniques to improve cancer detection, treatment follow-up, and therapy, particularly in stereotactic body radiation therapy (SBRT). The O’Dell Lab emphasizes translational research with direct clinical applications in patient care, alongside animal and in-vitro studies to validate findings. Key research areas include 3D tumor detection for lung, brain, and breast cancers; finite element modeling for needle biopsy deformation analysis; and quantitative CT imaging to assess radiation-induced tissue damage. Additionally, the lab explores MRI techniques such as diffusion-weighted imaging and spectroscopy for modeling tumor spread in brain cancers, as well as cardiac MRI tagging to study chemotherapy and radiation effects on long-term cancer survivors’ hearts. His work bridges engineering and medicine, aiming to enhance treatment precision and patient outcomes through advanced imaging technologies. The lab’s efforts include potential applications in drug development for protecting healthy tissues during radiation therapy.

Claes Lundströmمشاهده پروفایل

استاد مدعو

• Medical Imaging
• Artificial Intelligence
• Digital Pathology
• +۴ مورد دیگر

Claes Lundström is an Adjunct Professor at Linköping University's Department of Science and Technology (ITN), affiliated with the Media and Information Technology (MIT) school. His primary research focuses on medical imaging, integrating machine learning, visualization, and human-computer interaction in clinical settings. He leads the technical side of digital pathology research at the Center for Medical Image Science and Visualization (CMIV), directing national-scale grants and serving as Arena Director for the Analytic Imaging Diagnostics Arena (AIDA). Since 2010, he has held dual roles as Research Director at Sectra AB and academic researcher, driving innovations that translate into commercial healthcare solutions. Lundström's work spans AI-driven diagnostics, uncertainty visualization, and precision orthopedics, with contributions recognized through leadership in major projects like the €70M BIGPICTURE initiative. His academic credentials include a PhD (2007) and Docent degree (2014), alongside extensive industry collaboration. Education: PhD in 2007 and Docent degree in 2014 from Linköping University. PhD: 2007 Docent: 2014 Research interests emphasize AI integration in diagnostics, particularly digital pathology and medical imaging workflows. His work addresses challenges like domain adaptation in AI models, uncertainty quantification in segmentation tasks, and interactive visualization tools for clinicians. Recent projects include the VAI-B platform for AI validation in breast imaging and the BigPICTURE collaboration for global pathology data sharing. Key grants include leadership roles in national-scale projects, such as the AIDA arena and SCAPIS study-based AI lab. His contributions to AI ethics and clinical adoption include studies on human-AI collaboration and quality assurance frameworks. Lundström also oversees labs like CMIV and AIDA, fostering cross-disciplinary research in medical imaging and AI.

Pouya Faridiمشاهده پروفایل

پژوهشگر ارشد

• Proteomics
• Cancer Immunotherapy
• Mass Spectrometry
• +۳ مورد دیگر

Dr. Pouya Faridi is a Senior Research Fellow at Monash University's School of Clinical Sciences and heads the Translational Antigen Discovery Laboratory. He holds a pharmacy doctorate and PhD from Shiraz University of Medical Sciences, Iran, followed by postdoctoral research at ETH Zurich and Monash University. His research focuses on developing mass-spectrometry and proteomics technologies for identifying cancer immunotherapy targets, with clinical applications in cancer vaccines. He co-directs the Monash Clinical Proteomics Facility and leads projects funded by NHMRC, Cancer Australia, and the Victorian Cancer Agency. **Education**: PharmD, Shiraz University of Medical Sciences, Iran PhD, Shiraz University of Medical Sciences, Iran **Research Interests**: Biomarker discovery via mass spectrometry Immunopeptidome analysis for precision oncology Development of novel cancer vaccines Proteomics-based theranostics **Awards & Grants**: Victorian Cancer Agency mid-career fellowship (2021) Australian Melanoma Research Foundation Early Career Award (2021) Lead investigator on NHMRC grants targeting tumor antigens Supported by Isabella & Marcus Foundation for pediatric brain tumor research **Labs & Teams**: Translational Antigen Discovery Laboratory (Monash) Co-director of Monash Clinical Proteomics Facility Collaborations with Hudson Institute of Medical Research

Ola Hermansonمشاهده پروفایل

استاد

• Neurodevelopment
• Neuro-oncology
• Epigenetics
• +۵ مورد دیگر

Ola Hermanson is a Professor of Neuroscience at the Department of Neuroscience, Karolinska Institutet. His research focuses on understanding transcriptional and epigenetic mechanisms governing brain development, function, and disease, including neurodevelopmental disorders and brain tumors like glioblastoma. He employs cutting-edge technologies such as 3D bioprinting, bioelectronics, and molecular biology to study neural stem cells and cancer stem cells. Education and Positions: Professor of Neuroscience, Karolinska Institutet (2021–present) Senior Scientist, Karolinska Institutet (2009–2021) Assistant Professor, Karolinska Institutet (2003–2009) Postdoctoral Training, UC San Diego (1997–2002) PhD in System Neurobiology, Linköping University (1991–1997) Medical School, Lund University (1987–1990) Research Interests: Neural stem cell differentiation, epigenetic regulation, glioblastoma and medulloblastoma biology, biomedical engineering, and biomaterials. His lab develops technologies like 3D printing and bioelectronics to advance precision medicine. Publications: Over 70 peer-reviewed articles in prestigious journals like Nature , Cell , and Molecular Psychiatry . Recent work includes lithium's role in reversing radiation damage in neural progenitors and bioprinting for tumor modeling. Awards: Includes the ENI Young Investigator Award (2005), Strategic Professorship (2021), and recognition from the Canadian Government for Sweden-Canada collaboration. Teaching and Outreach: Course coordinator for neuroscience education programs (FoLäk1/2, anatomy courses). Engaged in pedagogical innovation, including TBL-based learning and neurotech education through NeurotechEU. Labs/Teams: Leads the Molecular Neurodevelopment and Neuro-Oncology group at KI. Founded the imaging core facility CLICK and co-founded Celluminova (stem cell markers SME).

Aliah Hawariمشاهده پروفایل

پژوهشگر

• Cancer Genomics
• Computational Biology
• Metabolic Modeling
• +۳ مورد دیگر

Aliah Hawari is a Researcher in the Division of Cancer Sciences at the University of Manchester, affiliated with the Manchester Cancer Research Centre. She holds a PhD in Metabolic Modelling of Tomato Fruit Ripening from Oxford University (2010-2014), an MSc in Metabolic Modelling of Terpenoid Biosynthetic Pathways from Universiti Kebangsaan Malaysia (2007-2009), and a BSc in Bioinformatics (2003-2006). Her research focuses on computational biology, cancer genomics, and systems biology, with emphasis on early cancer detection in BRCA1/2 carriers through molecular profiling. Key areas include kinetic modeling, metabolic pathways, and ensemble modeling techniques. She actively supervises PhD students exploring topics like contralateral breast tissue analysis in genetic cancer predisposition. Recent work includes groundbreaking genomic analyses of colorectal cancers and advanced in silico models of biochemical pathways. Her contributions to defining informative priors for ensemble modeling have been widely adopted in systems biology research. Affiliated with the Manchester Cancer Research Centre and Healthier Futures initiative, her work aligns with global health goals in precision oncology and molecular diagnostics.

• Neurophysiology
• Neurosciences
• Transcranial Direct Current Stimulation (tDCS)
• +۳ مورد دیگر

Marco Cambiaghi is a Temporary Assistant Professor at the University of Verona, affiliated with the Department of Neurosciences, Biomedicine and Movement Sciences. His research focuses on neurophysiology, transcranial direct current stimulation (tDCS), fear memory consolidation, and neurodegenerative disorders. Current research grants include: Airalzh 2021: Early enriched environment to prevent transgenerational effects of prenatal stress in Alzheimer's Disease PRIN 2022: The brain anti-reward centre in autism spectrum disorder as a novel therapeutic target His methodological expertise includes behavioral analysis, in-vivo electrophysiology, histological analysis, and molecular biology techniques. He teaches in multiple degree programs including: Medicine and Surgery Pharmacy Obstetrics Nursing Physiotherapy Biotechnology He serves as a referent in AQ Terza Missione and participates in various academic governance bodies including the PhD Council in Neuroscience and the Degree Course Councils.

Steven Carrollمشاهده پروفایل

استاد

• Neurofibromatosis Type 1 (NF1)
• Malignant Peripheral Nerve Sheath Tumors (MPNSTs)
• Neurodegenerative Diseases
• +۲ مورد دیگر

Steven Carroll, MD, PhD, is a Professor and Chair of the Department of Pathology and Laboratory Medicine at the Medical University of South Carolina (MUSC). He holds the Gordon R. Hennigar, Jr., MD Endowed Chair in Pathology and directs the Biorepository & Tissue Analysis Shared Resource at MUSC Hollings Cancer Center, the South Carolina Alzheimer’s Disease Research Center, and the Carroll A. Campbell Jr. Neuropathology Laboratory. His research focuses on neurofibromatosis type 1 (NF1), malignant peripheral nerve sheath tumors (MPNSTs), and neurodegenerative diseases. BS in Vertebrate Zoology, Chemistry, and Anthropology, University of Memphis (1981) MD and PhD in Cell Biology, Baylor College of Medicine (1986-1988) Postdoctoral training in Anatomic Pathology and Neuropathology at Washington University in St. Louis (1988-1994) His research program investigates growth factor signaling in MPNST pathogenesis, particularly neuregulin-1 (NRG1) and erbB receptors . He explores genetic and epigenetic mechanisms of tumor progression and neurodegeneration, with a focus on R-Ras subfamily proteins and lysophosphatidic acid receptors . His work employs genetically engineered mouse models and human biospecimen networks for translational studies. Recent publications highlight his expertise in MPNST mouse models (2024), cross-species genomic analysis (2023), and ERBB3's role in oncogenesis (2019). Collaborations include the international Down Syndrome Biobanking Consortium and national biospecimen networks . Scientific Awards: Fellow of the American Society of Clinical Pathologists (FASCP) Fellow of the College of American Pathologists (FCAP) Dr. Carroll has been continuously funded by the National Institutes of Health (NIH) and Department of Defense (DoD) since 2001. He serves as Associate Editor for the American Journal of Pathology and Journal of Neuropathology and Experimental Neurology , and on the editorial board of Neuro-Oncology . His lab has developed key platforms for neurofibromatosis research and Alzheimer's disease proteomics .

Summer L. Gibbsمشاهده پروفایل

استاد

• Nerve-Specific Fluorophores
• Image-Guided Surgery
• Cyclic Immunostaining
• +۳ مورد دیگر

Summer L. Gibbs is a Professor and the Douglas Strain Endowed Professor of Biomedical Engineering at Oregon Health and Science University (OHSU). She specializes in developing novel contrast agents and imaging technologies for clinical translation, with a focus on nerve-specific fluorescence imaging and theranostic applications. Education: B.S., 2003, Whitworth College Ph.D., 2008, Dartmouth College (Thayer School of Engineering) Postdoctoral Fellow at Harvard Medical School and Beth Israel Deaconess Medical Center Research Interests: Her lab develops nerve-specific fluorophores (e.g., near-infrared agents) to improve surgical precision and reduce nerve injury. She also pioneers cyclic immunostaining (cyCIF) for multiplex microscopy, enabling spatial analysis of cancer phenotypes and treatment efficacy. Recent work includes imaging tumor margins, drug distribution, and hybrid cancer-immune cells as metastasis biomarkers. Labs/Teams: Her interdisciplinary team collaborates across biomedical engineering, oncology, and surgery to advance translational imaging tools for clinical use.

• Bioinformatics
• Computational Biology
• Pharmacogenomics
• +۵ مورد دیگر

Giuseppe Agapito is a Professor at the Department of Law, Economics and Sociology (DiGES) at the University of Camerino, where he teaches courses such as Elements of Computer Science and Data Analysis. He specializes in computational biology, bioinformatics, and health informatics, focusing on genomic data analysis, machine learning applications in healthcare, and parallel computing methodologies. His research integrates multi-omics approaches, pathway enrichment analysis, and predictive modeling for drug response and disease mechanisms. Notable contributions include tools like BioPAX-Parser and cPEA, which enhance genomic data interpretation. He actively collaborates in international studies, such as the 4CE consortium analyzing SARS-CoV-2 impacts. His work addresses challenges in privacy-aware bioinformatics, high-performance computing for genomics, and AI-driven medical diagnostics. Education details are not explicitly provided in the texts, but his academic profile reflects extensive expertise in interdisciplinary fields bridging computer science and biomedical research. He maintains an active research agenda with over 50 publications since 2018, emphasizing scalable data analysis, drug biomarker discovery, and computational methods for clinical outcomes prediction. His teaching responsibilities include IT management and data analysis modules within social science curricula, reflecting a commitment to digital literacy across disciplines. Research interests span bioinformatics tool development, genomic data preprocessing, and AI applications in healthcare, with a focus on translational research. Recent articles highlight advancements in fMRI classification using graph neural networks, privacy-preserving genomic pipelines, and edge-based deep learning for medical signal analysis. Awards and grants are not explicitly listed, but his sustained contribution to international research consortia underscores his field influence. He advises students and researchers on computational methodologies and hosts weekly office hours for academic consultations.

Anuraag Shrivastavمشاهده پروفایل

استاد

• Cancer Biology
• Cellular Signaling Pathways
• Oncology
• +۴ مورد دیگر

Dr. Anuraag Shrivastav is a Professor at the University of Winnipeg's Department of Biology, affiliated with the Richardson College for the Environment and Science Complex. His research focuses on cellular signaling mechanisms linked to cancer development, particularly studying biomarkers and therapeutic targets for colorectal, breast, and prostate cancers. His lab also explores renewable energy materials, including perovskite solar cells and nanomaterials like zinc oxide buckyballs. Research Interests: Dr. Shrivastav investigates oncogenic pathways involving N-myristoyltransferase (NMT), mTOR signaling, and STAT3/AP1 interactions. His work bridges basic science and clinical applications, developing diagnostic tools such as blood-based biomarker tests. Simultaneously, he pioneers advancements in energy materials through computational modeling and experimental synthesis of novel photovoltaic systems. Publications Trends: Over 2023-2025, his articles emphasize translational cancer research—identifying prognostic markers and therapeutic strategies—while maintaining a parallel focus on materials innovation for sustainable energy solutions. This dual focus reflects his interdisciplinary approach to scientific inquiry. Awards: No specific awards mentioned, though his extensive publication record indicates sustained research impact. He currently supervises graduate students and postdocs in both cancer biology and materials science domains. Lab/Team: His laboratory integrates molecular biology, computational modeling, and materials engineering, fostering cross-disciplinary collaboration. Active projects include NMT-based cancer diagnostics and next-generation solar cell development.

• Nuclear Medicine
• Radiology
• Cancer Imaging
• +۵ مورد دیگر

Dr. Orhan K. Oz is a Professor of Radiology and Chief of Nuclear Medicine at UT Southwestern Medical Center, holder of prestigious professorships, and Director of the Nuclear Medicine Residency program. He also serves as Medical Director of Nuclear Medicine at Parkland Memorial Hospital and leads multiple research and administrative roles. His clinical expertise spans nuclear medicine, radiology, thyroid/musculoskeletal diseases, and cancer imaging, with particular focus on neuroendocrine malignancies. Educated at Stanford University (MD/PhD), he has over 66 publications and pioneered imaging techniques like SPECT/CT-based diabetic foot infection scoring systems. Research interests include diabetic foot infections, novel imaging probes, and bone metabolism mechanisms. He co-directs the Preclinical Nuclear Imaging and Molecular Imaging Probe Labs. Administrative roles include leadership in radiation safety, IRB committees, and professional societies like SNMMI and RSNA. Dr. Oz reviews for journals such as Journal of Nuclear Medicine and frequently lectures globally. His work bridges clinical practice and innovation in diagnostic imaging and radiotherapy, including first-in-human studies in biology-guided radiotherapy (BgRT). His contributions have earned recognition through grants, awards, and committee leadership internationally. He actively addresses healthcare disparities through initiatives like electronic medical record integration for bone density reporting and advancing precision medicine in renal cell carcinoma.