Dermatology
Showing 121-130 of 144 Results
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Michel Schimpf
Graduate, Medicine, Dermatology
BioMichel Schimpf is a PhD candidate affiliated with Stanford and Cambridge, working at the intersection of AI and Psychology. His research investigates how large language model–based systems can be used to scale behavior change interventions, with a focus on goal setting, dietary behavior, and emotional well-being. Michel has a background in Computer Science, completing his Bachelor's at TUM with a minor in Psychology at LMU Munich. He previously worked on alignment research at Mistral. Alongside his academic work, he co-founded wahl.chat, a chatbot for political education that reached over 250,000 users, and Techdalo, a nonprofit teaching programming skills to Colombian students.
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Dawn H. Siegel, MD
Clinical Professor, Dermatology
Clinical Professor (By courtesy), PediatricsCurrent Research and Scholarly InterestsI'm dedicated to connecting patients with clinical research trials and contributing to research on specific skin conditions particularly hemangiomas, birthmarks, and PHACE syndrome. My research also aims to develop solutions to health disparities through improved access to pediatric dermatologists and treatments.
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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.
