Stanford University
Showing 28,851-28,860 of 35,026 Results
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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. -
Ram Dyuthi Sristi
Postdoctoral Scholar, Neurobiology
BioI am a postdoctoral researcher at Stanford University working at the intersection of machine learning and systems neuroscience. My research focuses on developing interpretable models to understand how distributed neural populations coordinate to generate behavior across contexts and brain regions.
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Ankit Srivastava
Instructor, Medicine - Gastroenterology & Hepatology
Current Research and Scholarly InterestsMy research focuses on deciphering novel molecular crosstalk between epithelial and immune cells in human epithelial cancers and skin aging. My current projects highlight the targetable epithelial-immune axis in aggressive metastatic tumors with perineural invasion- cutaneous squamous cell carcinoma (cSCC) and head and neck squamous cell carcinoma (HNSC). To accomplish this, I imply single-cell transcriptomics and spatial RNA detection methods- multiplex and hiplex RNAscope along with our newly developed novel tumor nerve invasion model. Additionally, I study the regulome of human skin aging (chronological and photo-aging) by investigating the multiome data to recognize molecular underpinnings of aging.
