School of Medicine
Showing 51-60 of 73 Results
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Ruizhe Liu
Postdoctoral Scholar, Psychiatry
Bio2014 - 2020Graduate student, Department of Psychology, University of Pittsburgh, Pittsburgh, PA, U.S.
2009 - 2012 M.S. in Psychology. School of Psychology, Beijing Normal University (BNU), Beijing, China
2005 - 2009 B.S. in Psychology. Department of Psychology, East China Normal University (ECNU), Shanghai, China -
Yang Liu
Postdoctoral Scholar, Psychiatry
BioDr. Yang Liu is currently a research scientist with the Department of Psychiatry and Behavioral Sciences, Stanford University, since Dec. 2024. He was a PI of the North Ostrobothnia Regional Fund of the Finnish Cultural Foundation (success rate: 6.5%) and the Instrumentarium Science Foundation (success rate: 9.5%), carrying out research on digital pain detection with affective intelligence. Dr. Liu coordinated and managed "AI Forum" and "ICT 2023 TrustFace" projects during his postdoctoral research in University of Oulu since Jan. 2022, led by Professor Guoying Zhao, member of Academia Europaea, member of the Finnish Academy of Sciences and Letters, IEEE/IAPR/ELLIS Fellow. He was also a former researcher with the Haaga-Helia University of Applied Sciences, in 2023, and was a visiting scholar with Hong Kong Baptist University (Prof. Pong Chi Yuen) and University of Cambridge (Prof. Hatice Gunes), in 2023 and 2024, respectively. During doctoral study, Dr. Liu visited the CMVS from Oct. 2020 to Oct. 2021, funded by the China National Postgraduate Program Grant. Dr. Liu has published more than 30 papers. Dr. Liu was the Guest Associate Editor of Frontiers in Psychology and Frontiers in Human Neurosciences, organized tutorials in and workshops in international conferences liks HHAI2024 and IEEE FG2025. Dr. Liu was an Assistant Lecturer of the "Affective Computing" course in University of Oulu, in 2023. He mentored junior doctoral researchers and co-supervised three master students. His research interests include affective computing, cognitive computation for cross-species behavioral, and AI for aging medicine.
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James Lock
Eric Rothenberg, MD Professor and Professor, by courtesy, of Pediatrics
On Partial Leave from 10/01/2024 To 09/30/2025Current Research and Scholarly InterestsJames Lock, MD, Ph.D. is Professor of Child Psychiatry and Pediatrics in the Department of Psychiatry and Behavioral Sciences at Stanford University School of Medicine where he has taught since 1993. He is board certified in adult as well as child and adolescent psychiatry. He directs the eating disorder program in Child Psychiatry and is active in treatment research for children and adolescents with eating disorders.
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Anne Juliana Lockman
Adjunct Clinical Associate Professor, Psychiatry and Behavioral Sciences
BioDr. Lockman is Adjunct Clinical Associate Professor of Neuropsychiatry in the Department of Psychiatry & Behavioral Sciences at Stanford. She directs the Functional Neurologic Disorder (FND) Track at La Selva in Palo Alto, within their state-of-the-art residential and partial hospitalization programs. She completed residencies in both Neurology at the University of Virginia and Psychiatry at Stanford Hospital & Clinics. Her clinical activities include providing pharmacologic and behavioral care for clients with psychiatric and behavioral conditions in the context of neurological illness, including epilepsy, stroke, movement disorders and others. Professional goals include the advancement of clinical care, research and access for clients suffering from neuropsychiatric conditions, including FND and related disorders.
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Renske Lok
Postdoctoral Scholar, Psychiatry
Current Research and Scholarly InterestsI'm interested in questions regarding perceived experiences and measured markers of those experiences, for example how do perceived sleep quality relate to sleep quality measured, or how does daytime sleepiness relate to sleep quality at night.
Other interests include effects of daytime light exposure on nighttime sleep, circadian clock phase changes by flashes of light, and how stability and variability in daily rhythms can predict health and disease