Stanford University
Showing 8,461-8,470 of 14,525 Results
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Anjney Midha
Adjunct Lecturer, Computer Science
BioVisiting Scientist, Applied Physics
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Oscar Daniel Mier
Masters Student in Symbolic Systems, admitted Autumn 2022
Research Assistant, Stanford Institute for Innovation in Developing Economies (SEED)BioOscar Daniel Mier, a driven neuroscience professional and Master of Science candidate in Symbolic Systems at Stanford University, exemplifies unwavering dedication to neuroscience, neuroimaging, and the welfare of veterans. With a Bachelor of Science in Neuroscience from the University of California, Riverside, and graduate training in Neuroimaging and Informatics from the University of Southern California, Oscar's academic journey has propelled him through a multifaceted career. His experience includes working as a Clinical Research Coordinator at the Etkin Lab, the United States Marine Corps, and a Site Lead Clinical Research Coordinator at the U.S. Department of Veteran Affairs Palo Alto Healthcare System.
Oscar's passion for helping others shines through his work as a Mobile Training Team S.T.E.M. Fellow with the Warrior-Scholar Project, where he tutored and mentored student veterans and active service members and coordinated academic boot camps at prestigious universities. In his most recent position as a Technical Solutions Engineer at Alto Neuroscience, Oscar managed neuroimaging data and trained clinicians on clinical study paradigms. As he continues his academic journey at Stanford, Oscar brings his extensive experience, expertise, and unwavering commitment to the forefront, poised to make a lasting impact in the field of neuroscience and the lives of veterans. -
Bethel Roba Mieso
Candidate For Affiliation, Pediatrics
Fellow in Peds/Clinical InformaticsBioBethel R. Mieso, MD is a general pediatrician and clinical informatics fellow at Stanford Medicine whose work sits at the intersection of operational informatics, artificial intelligence ethics, pediatric care, and health equity. Dr. Mieso has played a key role in the enterprise-wide rollout of DAX Copilot at Stanford, leading ethical and regulatory guidance, trainee deployment, and patient-facing education. She has led a post-deployment evaluation of program director AI scribe policies across training programs, with findings informing strategic guidance for GME leaders nationwide–work that extends to her contributions to a national multi-institutional collaborative on AI in graduate medical education. Her research centers patient and family perspectives of ambient AI scribes in pediatric settings, shaping how health systems approach consent, communication, and trust with AI-assisted care.
Dr. Mieso's work merges operational informatics with strategic AI implementation–streamlining clinical workflows, reducing provider burden, and ensuring that emerging technologies serve patients equitably. She holds a BS in Biology from San Jose State University, an MD from Case Western Reserve University School of Medicine, and completed her pediatrics residency at Stanford Medicine.
