Dr. Rosa Bacchetta's professional goal as a pediatrician specializing in immunology, has been to challenge the limits of "inexplicable" and "untreatable" diseases, and apply current scientific knowledge to understand the mechanisms of impaired cellular immune function underlying the clinical manifestations in order to develop curative treatments.
Dr. Roxana Daneshjou studied Bioengineering at Rice University before matriculating to Stanford School of Medicine where she completed her MD and a PhD in Genetics with Dr. Russ Altman as part of the medical scientist training program. She completed dermatology residency at Stanford as part of the research track and completed a postdoc in Biomedical Data Science with Dr. James Zou.
Home Department: Urology
Faculty Advisor: James Brooks
Talk Title: Exploiting Siglec-7/9 immune checkpoints in prostate cancer
Event: AAI Annual Meeting 2024
Awarded in 2023
Talk Title: Siglec-7/9 are novel immune checkpoints for prostate cancer
Event: IMMUNOLOGY2023 - Ru received an AAI abstract trainee award.
Dr. Ruijiang Li's lab is focused on the development and application of novel machine learning and deep learning approaches for medical imaging analysis and precision oncology. This can lead to discovery of imaging-based biomarkers for several clinical applications including cancer detection and diagnosis, treatment response and prognosis prediction, which have the potential to transform cancer care.
Home Department: Chemistry
Faculty Advisor: Hongjie Dai
Talk Title: Wireless charging-mediated angiogenesis and nerve repair by adaptable microporous hydrogels from conductive building blocks
Event: 2022 Joint Symposium of the Society For Biomaterials (SFB) and the Japanese Society for Biomaterials (JSB) - Rusiou was awarded the Emerging Scholar Award of Society for Biomaterials 2022.
Supported by The Matthew Frank Family
Russ Biagio Altman is the Kenneth Fong Professor of Bioengineering, Genetics, Medicine, Biomedical Data Science and (by courtesy) Computer Science) and past chairman of the Bioengineering Department at Stanford University. His primary research interests are in the application of computing (AI, data science and informatics) to problems relevant to medicine. He is particularly interested in methods for understanding drug action at molecular, cellular, organism and population levels.
