School of Medicine
Showing 321-330 of 410 Results
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Victoria "Vicki" Spencer
Adm Assoc 4, Pediatrics - Peds/Critical Care
BioA graduate of Purdue University, Vicki brings over 20 years of executive administrative support experience to her position at Stanford Medicine.
Prior to taking this role, Vicki supported the Chief Medical Officer and Chief Dental Officer for a group of Federally Qualified Health Centers (FQHC). She has also provided executive support to individuals in the field(s) of healthcare, food equity, and pre-clinical drug development.
Her passions are health equity and whole-system integrated care. -
Caleb Matthew Spiro
Casual Non-Exempt, Psychiatry and Behavioral Sciences
BioMy main research interest revolves around understanding the general cognitive and affective properties of the mind, and how the prognosis of good and poor mental health status affects the developmental trajectories under chronic stress. To what extent reward-based networks can lead to increased proximity to vulnerability or heightened sensitivity to mental illness, specifically within the context of youth and adolescents, is an area that I am especially interested in. I am most interested in what factors help individuals become more resilient and build a narrative that they can get better with the right treatment practices. I believe that this can be done by combining neuroscience and functional imaging techniques (ex: fMRI, EEG) into the study and practice of clinical psychology.
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Suhas Srinivasan, Ph.D.
Principal Bioinformatics Scientist, Dermatology
BioI develop computational algorithms including AI/ML and statistical methods to discover insights at various resolutions of the biological hierarchy i.e., molecules, cells, tissues, organs, organism and population-scale.
In my current role in the laboratories of Paul Khavari and Howard Chang I conduct bioinformatics research to study the molecular mechanisms of tissue development, cancers, autoimmunity and chronic diseases using multiomics, with a focus on the non-coding genome.
I have ten years of academic research experience and received my Ph.D. in Data Science specializing in AI/ML development for diverse topics in biomedicine.
My research interests include artificial intelligence to identify novel patterns in multiomics data, psychometrics and neuroimaging data; structural bioinformatics and computational epidemiology. Additionally, I have conducted research in anomaly detection, and community detection in biological networks.
I am the co-inventor of a patented anomaly detection method for real-time streaming data.
Prior to graduate training and academic research, I was a full-stack software engineer in industry for three years.
