Stanford University
Showing 51-100 of 205 Results
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Francisco M. De La Vega
Adjunct Professor, Biomedical Data Science
BioFrancisco De La Vega is a distinguished geneticist and computational biologist, and an experienced technical executive, widely recognized for his expertise in clinical and population genomics, and bioinformatics. Currently serving as the Vice President of Hereditary Disease at Tempus Labs, Francisco is spearheading the development of comprehensive germline genetic tests and conducting innovative research into racial disparities in cancer leveraging Tempus’ multimodal Real-World Data. His work focuses on uncovering the connections between genetic ancestry and cancer genome mutational profiles that may help explain the differences in cancer incidence and outcomes across races and ethnicities. In addition to his role at Tempus Labs, Francisco is an Adjunct Professor in the Department of Biomedical Data Science at Stanford University School of Medicine and is a member of the Board of Directors of the International Society of Computational Biology, serving from 2022 to 2025.
Francisco teaches BIODS-235: "Best practices for developing data science software for clinical and healthcare applications" every Winter quarter. -
Niki DeGeorge
Division Manager, Radiation Oncology
Current Role at StanfordNiki is the Division Manager for Medical Physics in the Department of Radiation Oncology.
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Tina M. Del Cont
Product & Program Manager, Stanford Profiles, Technology & Digital Solutions
Current Role at StanfordI am the Product Manager for Stanford Profiles and Project Manager of the Stanford Profiles University-Wide Project. I work directly with the Stanford Profiles development team in Stanford Medicine | Technology & Digital Solutions Application Development. On this project, I also work with a university-wide project team, the Stanford Profiles (formerly CAP) Working Group, made up of members from many of the Stanford schools and organizations. In June of 2014, we started the CAP Drupal Module Working Group. The purpose of this group is to review and improve the integration process with CAP by expanding and enhancing the CAP Drupal Module (CAPx) with an open-source contribution approach (an initiative started and led by SWS in collaboration with the CAP Drupal Module user community).
If you are interested in becoming part of the Stanford Profiles University-Wide Project, which includes the Stanford Profiles Public and Stanford-only View web sites or would like more information on integrating your web site with Stanford Profiles, contact me at tdelcont@stanford.edu. -
Erlynn Dela Cruz
Administrative Associate, Pediatrics - Endocrinology
Current Role at StanfordAdministrative Associate
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Juan Delgado
Casual - Non-Exempt, Epidemiology and Population Health
Current Role at StanfordResearch Assistant - Urologic Cancer Epidemiology Lab
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Lyn Denend
Academic Prog Prof Mgr, School of Medicine - MDRP'S - Biodesign Program
Current Role at StanfordDirector for Academic Programs, Stanford Biodesign
Lecturer, Stanford Medicine -
Jenny Deng
Assistant Clinical Research Coordinator, Dermatology
BioJenny Deng is an Assistant Clinical Research Coordinator for Dr. Jean Tang in the Dermatology department. She received her bachelor’s in science from the University of California, Santa Cruz with a major in Molecular and Cell Developmental Biology. She is also a certified phlebotomy technician with an active license. Jenny was born and raised in San Francisco, and when she is not working, enjoys her spare time traveling, working out, and exploring new restaurants to eat.
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Jamie S. Dent MCL, MHA
Grant Strategist, Emergency Medicine
Current Role at StanfordTo provide support to research faculty by building out the research infrastructure. These supports include: manuscript resources, proposal development tools, data science experts, clinical research workflows.
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Arjun Desai
Research Asst - Graduate, Rad/Integrative Biomedical Imaging Informatics at Stanford
BioArjun Desai is a 4th year PhD candidate working with Akshay Chaudhari and Chris Ré. He is broadly interested in how we can accelerate the pace at which artificial intelligence can be used robustly, safely and at scale in practice. His research focuses on the intersection of signal processing and machine learning and how we can build scalable deployment and validation systems for applications in heathcare and the sciences.
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Priyamvada(Priya) Desai
Rsch Technical Mgr 1, Technology & Digital Solutions
Current Role at StanfordManager, Biomedical Informatics R &D
