Stanford University
Showing 171-180 of 2,890 Results
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Michelle Madore, Ph.D.
Clinical Associate Professor (Affiliated), Psych/Public Mental Health & Population Sciences
Staff, Psych/Public Mental Health & Population SciencesBioDr. Madore is multiracial, Filipina woman working as a Clinical Neuropsychologist at VA Palo Alto Healthcare System (VAPAHCS) in the Mental Illness Research, Education and Clinical Center (MIRECC). Here she serves as the Director of the National Clinical Transcranial Magnetic Stimulation (TMS) Program whose mission is to: 1) increase the availability of Transcranial Magnetic Stimulation (TMS) for treatment-resistant depression in Veterans and (2) gain a greater understanding of the treatment efficacy of TMS in our complex Veteran population. She is also the Co-Director of the Sierra Pacific MIRECC Advanced Fellowship at VAPAHCS. Dr. Madore is the Co-PI for studies looking at the clinical efficacy and safety for substance use disorders, specifically methamphetamine and alcohol. Dr. Madore is also a Clinical Associate Professor (Affiliated) at Stanford University School of Medicine’s Department in Psychiatry and Behavioral Sciences.
She received her Ph.D. in clinical psychology from the University of Cincinnati, where she received specialized training in neuropsychology. Dr. Madore completed her pre-doctoral internship at the VA Palo Alto Health Care System (VAPAHCS). She has completed postdoctoral training focused on clinical neuropsychology and neurorehabilitation research at VA Martinez, San Francisco VA Medical Center and VAPAHCS.
Dr. Madore is involved in several professional organizations and serves in several leadership positions. She is the Editor for the Asian American Journal of Psychology and Deputy Editor for Transcranial Magnetic Stimulation. -
Anders Gjølbye Madsen
Graduate Visiting Researcher Student, Computer Science
BioAnders Gjølbye Madsen is a PhD fellow at the Technical University of Denmark. His research focuses on trustworthy machine learning for healthcare, with an emphasis on explainability, interpretability, and reliable evaluation of models in high-stakes settings. He works broadly with modern deep learning methods, including self-supervised learning, and is interested in questions of robustness and alignment. He is the author of PatternLocal, a NeurIPS 2025 paper on reducing false-positive attributions in explanations of non-linear models by refining local explanation approaches. He earned a BSc in Artificial Intelligence and Data from DTU and completed an MSc in Engineering in Applied Mathematics at DTU, including a study exchange in Computational Science and Engineering at ETH Zürich. Anders will spend 2026 as a visiting researcher at Stanford University’s Trustworthy AI Research (STAIR) Lab, working with Professor Sanmi Koyejo.
