School of Medicine
Showing 2,181-2,200 of 4,361 Results
-
Eric Lin
Clinical Assistant Professor (Affiliated), Psych/General Psychiatry and Psychology (Adult)
Staff, Psychiatry and Behavioral SciencesBioEric Lin, MD, is a Clinical Assistant Professor (Affiliated) of Psychiatry and Behavioral Sciences at Stanford University School of Medicine and an addiction psychiatrist at VA Palo Alto. His academic work focuses on artificial intelligence, large language models, machine learning, and psychiatry, with particular interest in the clinical evaluation, safety, and governance of AI systems used in mental health care and related psychological contexts.
Dr. Lin studies how AI systems should be assessed when they interact with patients, clinicians, or psychologically vulnerable users. His work addresses the limitations of benchmark-driven evaluation and the need for clinically meaningful approaches to AI evaluation that incorporate psychiatric expertise, real-world clinical complexity, and post-deployment risk. His broader interests include psychopathology, personality assessment, psychoanalytic and psychodynamic models of mind, and the translation of complex clinical judgment into rigorous evaluation frameworks for emerging technologies.
Dr. Lin completed psychiatry residency at Yale University, where he trained in the Neuroscience Research Training Program, and later completed a medical informatics fellowship through VA Boston, with research at Harvard Medical School/McLean Hospital on computational and digital approaches to psychiatric phenotyping. He is board certified in psychiatry and clinical informatics. His clinical and teaching work in addiction psychiatry grounds his interest in psychiatric complexity, risk assessment, care navigation, and pragmatic implementation of AI tools in health care. He is interested in collaborations across psychiatry, computer science, human-centered AI, health policy, digital mental health, and responsible technology development. -
Sean YT Lin, DVM, MPH
Biostatistician 2, Ophthalmology Research/Clinical Trials
Data Scientist, Ophthalmology Research/Clinical TrialsBioSean Lin is a Data Scientist within the Department of Ophthalmology. In this role, he focuses on applying advanced computational methods—including machine learning, deep learning, and biostatistics —to diverse, real-world health data. He has experience analyzing large-scale structured and unstructured datasets, such as electronic medical records (EMR/EHR) , insurance claims, and clinical text.
-
Malene Lindholm
Sr. Research Engineer, Medicine - Med/Cardiovascular Medicine
Current Research and Scholarly InterestsInterested in the genetics of human performance and the multi-omic response to exercise and training for optimizing human health.
-
Bruce Ling
Senior Research Scientist, Pediatrics - Neonatology
Current Research and Scholarly InterestsMy research focuses on developing AI-enabled translational medicine platforms that integrate real-world electronic health records, wearable biosensor signals, LC-MS/MS-based proteomics and metabolomics, cfDNA molecular profiling, and multimodal medical imaging. The overarching goal is to transform longitudinal clinical, physiological, and molecular data into predictive tools for early disease detection, dynamic risk stratification, digital twin modeling, and precision intervention.
