School of Medicine
Showing 2,541-2,560 of 13,070 Results
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Beverly Jazmine Delgado
Research Coordinator, Dermatology
BioI’m a Research Coordinator at Stanford University, with over three years of experience in medical research and technology development. My work at Wipe Out Melanoma - California (WOM-CA) focuses on the importance of healthcare access and levering technology for early detection of melanoma.
I’ve worked in human subject research involving wearable devices and led hands-on training for study procedures, including data collection and handling. I’m passionate about applying real-life solutions to modern social and healthcare challenges. I’m skilled in data & project management and fluently speak Spanish. -
Juan Delgado
Casual - Non-Exempt, Epidemiology and Population Health
Current Role at StanfordResearch Assistant - Urologic Cancer Epidemiology Lab
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Juan Antonio Delgado San Martin
Affiliate, School of Medicine - MDRP'S - Biodesign Program
BioI specialise in computational approaches to uncover insights from large mobile health datasets for cardiovascular risk assessment. I am also interested in survival models, PKPD modelling, language models (including data mining in EHR and genAI), and web app development for other researchers to use. I have extensive experience in industry implementing ML approaches and designing ML-centric industry-scale production software architectures, including MLOps & CICD.
In the academic domain, I share my time between Imperial College London and Stanford research projects. In the industrial domain, I help industrial startups like ValueBase and Aktana —and charities such as Cancer Research UK (CRUK)—extract greater value from advanced data analyses.
The rest of my time is dedicated to teaching companies how to design effective data ecosystems within Google Cloud on behalf of Google. -
Daniel James Delitto, MD, PhD, FACS
Assistant Professor of Surgery (General Surgery)
BioDr. Delitto is a board certified complex general surgical oncologist with a focus on conditions of the liver, pancreas, and stomach. He is an assistant professor in Stanford Medicine’s Department of Surgery.
His education includes a decade of postgraduate training in complex general surgical oncology, as well as a PhD in immunology with an emphasis on cancer biology. He completed a clinical fellowship at Johns Hopkins University and continued his research at the postdoctoral level in the laboratory of Dr. Elizabeth Jaffee. His research focus is on advancing the field of cancer immunology and harnessing his findings to improve immunotherapies.
He was the principal investigator of two studies examining the immune response to pancreatic cancer, including one funded by the National Cancer Institute.
Dr. Delitto has presented the findings of his research at conferences such as the American Association for Cancer Research, Society for the Immunotherapy of Cancer, American Association of Immunologists, American College of Surgeons, Academic Surgical Congress and Pancreas Club. In addition to cancer immunology, he has also presented work focused on cancer cachexia, surgical outcomes, translational experimental models and a variety of other oncologic topics.
He has published original work in Nature Communications, the Journal of the National Cancer Institute, Cancer Research, Clinical Cancer Research, and other high impact journals. He is also a reviewer for Annals of Surgery, Scientific Reports, Surgery, Tumor Biology, Journal of Surgical Research, PLOS ONE, and the Journal of Translational Medicine.
Dr. Delitto has earned numerous honors related to clinical excellence, teaching and research. He is board certified by the American Board of Surgery and a member of the Society of Surgical Oncology, American Association for Cancer Research and American Association of Immunologists. -
Scott L. Delp, Ph.D.
Director, Wu Tsai Human Performance Alliance at Stanford, James H. Clark Professor in the School of Engineering, Professor of Bioengineering and of Mechanical Engineering
Current Research and Scholarly InterestsExperimental and computational approaches to study human movement. Development of biomechanical models to analyze muscle function, study movement abnormalities, design medical products, and guide surgery. Imaging and health technology development. Discovering the principles of peak performance to advance human health. Human performance research. Wearable technologies, video motion capture, and machine learning to enable large-scale analysis.
