Stanford University
Showing 1,801-1,820 of 2,248 Results
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Dana K Briscoe
Affiliate,
BioDr. Dana Briscoe is a Lead Data Scientist with the Doerr School of Sustainability at Stanford University. Her multidisciplinary research focuses on the integration of near real-time ocean intelligence with ML/AI technologies for marine management. She currently leads the research and development of novel data science methodologies using machine learning, image recognition, and innovative approaches to data visualization for climate-ready conservation and management tools.
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Leticia Britos Cavagnaro
Adjunct Professor, d.school
Current Research and Scholarly InterestsI lead the development of AI-native learning tools at the Stanford d.school. My work builds frameworks for how human agency can scale with AI. Current tools include Riff (an AI-powered reflection assistant used by educators globally, with 50,000+ reflections), Mystery Machine (an AI scenario platform for adaptive learning, launched at SXSW 2025), and Aftercast (an AI tool for ethical exploration of projects). Author, Experiments in Reflection (Ten Speed Press, 2023).
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Mathew Britton
Staff Scientist, LCLS - Linac Coherent Light Source
Current Role at StanfordStaff Scientist, Laser Methods & Metrology Group, Laser Science Department, Linac Coherent Light Source
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Peter Broadwell
Head of AI Modeling & Inference, Research Data Services Admin
Current Role at StanfordManager, AI Modeling & Inference, Research Data Services, Stanford University Libraries
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Pauline Brochet
Postdoctoral Scholar, Biomedical Informatics
BioPauline Brochet is a French scientist from Souraide, France. She completed her undergraduate studies in Molecular, Cellular and Physiological Biology (BSc, Université Clermont-Auvergne) and earned a Master's degree in Software Development and Data Analysis (MSc, Aix-Marseille Université). Pauline pursued a PhD at TAGC (Theories and Approaches for Genomic Complexity) in Marseille, France.
Under the supervision of Dr. Christophe Chevillard and Dr. Lionel Spinelli, Pauline integrated multi-omics data from human heart tissue to investigate the pathogenic processes associated with Chagas Disease Cardiomyopathy (CCC). Notably, she contributed to the development of ChagasDB, the first database associating key features with the different stages of Chagas disease. Her research identified the involvement of mitochondrial DNA mutations, non-coding RNA, transcription factors, and DNA methylation in various pathogenic processes, all leading to the progression of CCC.
Currently, at Stanford University, under the guidance of Dr. Matthew Wheeler and Dr. Daniel Katz, Pauline is conducting postdoctoral research on multi-omics data analysis as part of the Molecular Transducers of Physical Activity Consortium (MoTrPAC). Her work focuses on identifying key covariable features associated with physical exercise, with the ultimate goal of discovering exercise-mimetic drugs that could help prevent heart diseases.
