Stanford University
Showing 22,281-22,300 of 34,997 Results
-
Charlotte Notaras
Ph.D. Student in Education, admitted Autumn 2026
BioCharlotte Notaras is a doctoral student in the SHIPS Educational Policy program at Stanford’s Graduate School of Education. Her work sits at the intersection of policy design, implementation, and evaluation, with a focus on the systems and structures that states, districts, and schools need to drive continuous improvement in education. In her prior role as Lead Analyst at the National Center on Education and the Economy (NCEE), she studied high-performing education systems globally and supported a number of high-profile state policy initiatives, including the Blueprint for Maryland’s Future, Utah’s First Credential program, the Growing Michigan Together Council, and the Mississippi Legislative Education Study Group. Charlotte holds an MSc in Policy Evaluation from the University of Oxford and a BA in Psychology from Princeton University.
-
Miguel Novelo Cruz
Lecturer, Art & Art History
BioMiguel Novelo (he/him/el) is an interdisciplinary artist, educator, and researcher who focuses on emerging media and community organizing—currently working on algorithmic video art, technoshammanic installations, thermodynamic hypnotism, and friendly computational virus-like software.
Novelo earned a Bachelor of Fine Arts from the San Francisco Art Institute in 2018, followed by a Master of Fine Arts from Stanford University in 2022. His work has been exhibited at various institutions, including the de Young Museum, the Stanford Institute for Human-Centered Artificial Intelligence (HAI), the Museo Universitario Arte Contemporáneo (MUAC) in Mexico City, and numerous international film festivals. -
Roberto Novoa, MD
Clinical Professor, Pathology
Clinical Professor, DermatologyCurrent Research and Scholarly InterestsMy research interests include the medical applications of artificial intelligence, cutaneous lymphoma, and the side effects of targeted therapies. I have served as the lead dermatologist in our ongoing effort to develop AI-augmented classification of skin lesions. We are in the process of establishing one of the first prospective studies examining the performance of a deep learning algorithm in real-world patients.
