Stanford University
Showing 201-210 of 5,631 Results
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Yann Aouidef
Postdoctoral Scholar, Management Science and Engineering
BioYann Aouidef is a PhD candidate at the Paris Center of Law and Economics, in applied Mathematics in Economics : Game Theory, Social Choice Theory, Law and Economics.
He's currently a VSR at Stanford with interests in Computational Contracts applied to Smartcontracts. -
Eric Appel
Associate Professor of Materials Science and Engineering, Senior Fellow at the Woods Institute for the Environment and Associate Professor, by courtesy, of Pediatrics (Endocrinology) and of Bioengineering
Current Research and Scholarly InterestsThe underlying theme of the Appel Lab at Stanford University integrates concepts and approaches from supramolecular chemistry, natural/synthetic materials, and biology. We aim to develop supramolecular biomaterials that exploit a diverse design toolbox and take advantage of the beautiful synergism between physical properties, aesthetics, and low energy consumption typical of natural systems. Our vision is to use these materials to solve fundamental biological questions and to engineer advanced healthcare solutions.
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Elijah Appelson
Masters Student in Management Science and Engineering, admitted Autumn 2025
BioElijah Appelson is an activist, mathematician, and computational social scientist. From 2023 to 2025, he served as the first data analyst/scientist at the ACLU of Louisiana, focusing on immigration, policing, and the broader criminal legal system. There, he conducted statistical analyses for legal cases, supported policy change, and developed educational tools, including "Visualizing Police Violence in Louisiana" and "Policing in Louisiana: By the Facts". He is skilled in web scraping, predictive modeling, and data storytelling, and uses these tools to create accountability. Prior to the ACLU, he held roles at the Center for Community Alternatives and the Vera Institute of Justice, intersecting technical expertise with a commitment to civil rights. His academic interests center on using machine learning to hold state violence accountable through education, policy, and law.
