جستجوی استاد راهنمای دانشگاهی

• Biomedical Research
• Cystitis, Interstitial
• Drug Delivery Systems
• +۷ مورد دیگر

Darryl T. Martin is an Assistant Professor in the Department of Urology at the Yale School of Medicine and a member of the Yale Cancer Center. His research focuses on understanding the biological factors and molecular determinants that drive cancer progression and metastasis, particularly in urologic cancers. Dr. Martin is affiliated with the Cancer Signaling Networks program and the Janeway Society at Yale, demonstrating his integration into multiple research communities within the institution. Dr. Martin received his PhD from Memorial University of Newfoundland, where he trained as a cancer molecular biologist studying tumor growth and differentiation under the supervision of Drs. Robert Gendron and Hélène Paradis. He then completed postdoctoral training with Dr. Robert M. Weiss at Yale University School of Medicine, focusing on drug delivery and cancer progression, which laid the foundation for his current research program. Dr. Martin's research program investigates three main areas: defining distant metastasis by elucidating biologic factors and molecular determinants; modulating the tumor microenvironment to transform immunosuppressive conditions into immune-activated states; and enhancing tumor targeting using surface-modified nanoparticles. His work combines molecular biology, translational science, and nanomedicine to develop novel approaches for cancer treatment, with particular emphasis on prostate and bladder cancers. Analysis of Dr. Martin's recent publication record reveals a strong translational focus, bridging basic molecular mechanisms with clinical applications. His work spans genomic testing for prostate cancer, treatment optimization for bladder cancer variants, and nanoparticle-based drug delivery systems, demonstrating both breadth and depth in urologic oncology research. Dr. Martin is an active member of several professional organizations: American Association for Cancer Research (AACR) Society for Basic Urologic Research (SBUR) American Society for Biochemistry and Molecular Biology (ASBMB) The Martin Lab is currently funded by Department of Defense (DoD) and foundation grants, supporting research on cancer progression and metastasis. Dr. Martin collaborates extensively with clinical colleagues at Yale, reflecting the interdisciplinary nature of modern cancer research and his commitment to translating laboratory discoveries into clinical applications. Dr. Martin's laboratory focuses on developing practical applications for cancer treatment, particularly through nanoparticle systems that can deliver drugs to malignant tissues with high specificity. His research represents an important bridge between basic cancer biology and clinical oncology, with potential to improve outcomes for patients with urologic malignancies.

Agnes Flöelمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Sleep Physiology
• Brain Stimulation
• +۷ مورد دیگر

Prof Dr Agnes Flöel is a Professor at the University of Greifswald Medical School, where she leads research at the intersection of cognitive neuroscience, sleep physiology, and brain stimulation. Her work focuses on understanding neural mechanisms underlying memory formation and cognitive decline in aging, with particular emphasis on sleep-related processes and non-invasive brain stimulation techniques. Her research interests center on sleep physiology , cognitive neuroscience , and neurostimulation . Dr. Flöel investigates how slow oscillations, spindles, and delta waves interact during sleep to support memory consolidation, particularly in older adults and those with cognitive impairment. Her work extends to developing interventions combining cognitive training with transcranial direct current stimulation (tDCS) to enhance cognitive function in aging and early Alzheimer's disease. She also contributes to methodological advancements in sleep staging through deep learning approaches and addresses technical challenges in neuroimaging. Dr. Flöel's publication record demonstrates consistent productivity with multiple high-impact papers annually, primarily focused on sleep neuroscience, brain stimulation, and cognitive aging. Her work shows strong collaborative patterns with researchers across Germany, particularly within the SFB 1315 research consortium. Recent publications (2022-2024) increasingly incorporate computational approaches, deep learning, and multimodal neuroimaging to address fundamental questions about neural plasticity and memory. Her research has been supported through the Collaborative Research Center 1315 (SFB 1315) funded by the German Research Foundation, focusing on neuronal circuits in aging. Dr. Flöel serves as principal investigator for multiple clinical trials examining brain stimulation approaches for cognitive enhancement in older adults and those with mild cognitive impairment. Dr. Flöel leads a research group investigating sleep-brain interactions in aging, collaborating closely with computational neuroscientists, neurologists, and psychologists. Her team utilizes multimodal approaches including EEG, MRI, and behavioral assessments to understand neural mechanisms of cognitive decline and potential interventions.

Jon Stammersمشاهده پروفایل

پژوهشگر ارشد

• Artificial Intelligence
• Data Science
• Smart Manufacturing
• +۳ مورد دیگر

Dr Jon Stammers serves as the Senior Theme Lead for Data, Connectivity and AI within the Integrated Manufacturing Group at the Advanced Manufacturing Research Centre (AMRC), University of Sheffield. He joined the AMRC in 2013, initially working in the Machining Group's Process Monitoring and Control team, and has since taken on leadership of the Data, Connectivity and AI theme. Additionally, he has lectured at the AMRC Training Centre and is an active member of the Centre for Machine Intelligence and the IET Manufacturing Technical Network. Stammers holds an MEng and PhD in Electronic Engineering. His doctoral research investigated automated identification of urban and natural audio signals using time-domain feature extraction and ensemble neural network classifiers. His primary research interests focus on leveraging data from connected manufacturing processes to enable Smart Factories. This includes developing open-source data architectures, data visualization techniques, computer vision applications, AI and machine learning algorithms, data security measures, and data science methodologies. He is particularly interested in how AI can serve as a practical tool to enhance daily manufacturing operations and the broader societal impacts of technology adoption in industrial settings. Analysis of his recent publications reveals a consistent emphasis on machine tool health monitoring, anomaly detection in machining processes, and the integration of AI for predictive maintenance. His work bridges theoretical advancements in signal processing and machine learning with practical industrial applications, contributing to more efficient and reliable manufacturing systems. No scientific awards, prizes, or fellowships were mentioned in the provided information. Stammers has previously lectured at the AMRC Training Centre, contributing to workforce development in advanced manufacturing. While no formal PhD or Master's advisees are listed in the provided information, his role in training is evident through his educational contributions. He has secured significant research funding as Principal Investigator and Co-Investigator on multiple projects, including the ATI-funded "Securing Aerospace Manufacture in the UK" (£974,000), Innovate UK's "Data-driven manufacturing" (£111,000), EPSRC's "Autonomous Method for Detecting Cutting Tool and Machine Tool Anomalies" (£1.02M), and several others totaling over £2.5 million. His current projects span AI for machining design, hydrogen storage, and geospatial AI for housing layouts. Stammers leads the Data, Connectivity and AI theme at the AMRC, which focuses on enabling Smart Factories through innovative data and AI solutions. He is part of the Integrated Manufacturing Group, a key research team within the AMRC dedicated to advancing manufacturing technologies.