School of Medicine
Showing 701-800 of 1,580 Results
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Maria Lee
Postdoctoral Scholar, Psychiatry
BioI am a clinical psychologist from Sweden, currently doing my postdoctoral fellowship at the Department of Psychiatry. With over 10 years of clinical experience in Sweden, I specialize in working with patients with severe mental illness, primarily psychotic disorders such as schizophrenia. The majority of my clinical work has been done in outpatient clinics for individuals with recent onset of psychosis and I have extensive experience doing cognitive and diagnostic assessments, as well as delivering cognitive behavioral therapy in this population.
My current research focuses specifically on the menopause transition and severe mental illness. The aim of my project is to assess how this period affects risk of developing severe mental illness, as well as how menopause affects the clinical course for those already diagnosed with severe mental illness. -
Yunkyeong Lee
Postdoctoral Scholar, Endocrinology and Metabolism
BioYun is a postdoctoral research scholar in the Translational Genomics of Diabetes Laboratory under the mentorship of Dr. Anna Gloyn. Since joining the lab in August 2022, she has been investigating type 2 diabetes (T2D) susceptible genes and their molecular mechanisms in pancreatic β-cell dysfunction and the development of T2D. Her primary focus is on how T2D effector transcripts alter autophagy/mitophagy pathways in human pancreatic β-cells, contributing to β-cell failure, mitochondrial dysfunction, and T2D pathology. She also investigated the impact of genetic mutations underlying neonatal diabetes using CRISPR HDR knockin genome editing in human induced pluripotent stem cell (hiPSC) models and their derivatives.
During her PhD, she explored the role of an epigenetic regulator and its molecular machinery in the pathogenesis of non-alcoholic fatty liver disease (NAFLD), now termed metabolic dysfunction-associated steatotic liver disease (MASLD). In parallel, she studied the interplay between endoplasmic reticulum (ER) stress-mediated unfolded protein response (UPR) signalling and autophagy, and examined how these processes are modulated by bioactive plant extracts in various cellular contexts.
She is particularly interested in exploring inter-organ communication, such as pancreas-liver crosstalk, and how these interactions influence systemic metabolism and contribute to the onset and progression of T2D, along with its complications. Her long-term research goal is to advance our understanding of the cellular and molecular mechanisms driving T2D and to identify novel therapeutic targets and strategies. -
Amy Leslie
Postdoctoral Scholar, Urology
BioDr. Amy R. Leslie is a postdoctoral fellow at Stanford University School of Medicine in the Department of Urology in Dr. James D. Brooks's lab. Dr. Leslie received their Ph.D. from UC Davis in Integrative Pathobiology in Dr. Allen C. Gao's lab and B.S. from UC Santa Cruz in Biochemistry and Molecular Biology. Before coming to Stanford, Amy's prior research focused on characterization of therapeutic resistance in advanced stages of prostate cancer. Currently, Dr. Leslie is investigating how prostate cancer cells evade the immune response through glycosylation alterations to the cancer cell surface using in vitro and in vivo approaches.
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Eric Leslie
Postdoctoral Scholar, Cardiovascular Medicine
Current Research and Scholarly InterestsTranslational research of exercise responses to improve human health and sport performance. Current research emphasizes multi-omic and accelerometry data analysis to characterize the molecular and applied responses to exercise training as well as the biological profiles of elite athletes.
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Dayan J. Li, MD, PhD
Clinical Scholar, Dermatology
Postdoctoral Scholar, Pediatric SurgeryCurrent Research and Scholarly InterestsWound healing, cutaneous fibrosis
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Y. Howard Li
Postdoctoral Scholar, Ophthalmology
BioDr. Yuanhao Howard Li received his B.S. and Ph.D. in Brain and Cognitive Sciences at the University of Rochester, and he is currently a Postdoctoral Scholar in the Department of Ophthalmology at Stanford School of Medicine. His research is focused on how eye movements shape visual perception and how, in return, the oculomotor system utilizes eye movements to optimize visual information processing. His current projects apply eye-tracking and computational models to investigate and relationship between anatomical structure and oculomotor behavior in clinical populations with visual field impairment or abnormal motor control. This research aims to provide a better understanding of our brains and eyes, as well as potential applications in disease diagnosis and rehabilitation.
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Jiawei Li
Postdoctoral Scholar, Cardiovascular Institute
BioMy research interests include organoids, engineering, and AI.
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Lei Li
Postdoctoral Scholar, Psychiatry
BioPh.D., University of Electronic Science and Technology of China, Biomedical engineering 2024
B.E., University of Electronic Science and Technology of China, Biomedical engineering2019 -
Yijie (Jamie) Li
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioI am a postdoctoral scholar at Stanford University, working on longitudinal wearable data to study interventions for diabetes and childhood obesity. I use computational and machine learning methods to extract actionable insights from high-resolution health data to improve treatment outcomes. Previously, I completed my Ph.D. in Computer Science at the University of Tulsa, focusing on machine learning for major depressive disorder using genomics, gene age, and neurofeedback. I also hold master’s degrees in Applied Economics and Finance from UC Santa Cruz and in Accountancy from the University of Tulsa, where I worked on financial modeling and stock market analysis.
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Zhongxiao Li
Postdoctoral Scholar, Radiation Physics
BioZhongxiao Li is a postdoctoral researcher in Professor Ruijiang Li's lab at Stanford Medicine. His research focuses on computational biology and bioinformatics, particularly the development of deep learning methods for computational pathology and spatial transcriptomics/proteomics. Previously, his work has included developing machine learning models for histopathological image analysis, understanding gene regulation, and analyzing biological sequences.
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Zongbo Li
Postdoctoral Scholar, Health Policy
BioZongbo Li, PhD, is a postdoctoral researcher at Stanford Health Policy. His research focuses on applying simulation modeling and cost-effectiveness analysis to inform policy decisions related to substance use and infectious diseases. He evaluates overdose prevention interventions, including naloxone distribution and medications for opioid use disorder, with particular attention to vulnerable populations such as people who are incarcerated. His work also encompasses modeling infectious diseases and evaluating interventions for COVID-19, HIV, and HCV. Zongbo earned his PhD in Health Services Research, Policy & Administration from the University of Minnesota.
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Celine Jia Rong Lim
Postdoctoral Scholar, Psychiatry
BioDr. Celine Lim is a Child Psychology Postdoctoral Fellow focusing on adolescent Dialectical Behavior Therapy (DBT) at Stanford School of Medicine, Department of Psychiatry and Behavioral Sciences. She earned her Doctor of Psychology (Psy.D.) in Clinical Psychology from the University of Indianapolis. Dr. Lim completed her pre-doctoral internship at the SUNY Upstate Medical University on the child and adolescent track. Her clinical experience includes a wide range settings: university counseling center, community mental health, academic medical center, private practice, inpatient psychiatric units, consultation-liaison services, and primary integrated care. She has a strong interest in providing evidence-based therapy to adolescents and families struggling with severe emotional dysregulation and complex trauma histories.
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Wen-yang Lin
Postdoctoral Scholar, Genetics
Current Research and Scholarly InterestsThe broad goal of my research interest is to identify intrinsic and extrinsic mediators of tumor growth and plasticity. My past research experiences will synergize with the expertise of Dr. Monte Winslow’s laboratory to allow the discovery of novel mechanisms of cancer progression. The integration of our molecular measurements with multiple types of ‘omics’ data will ultimately improve the diagnostic precision medicine.
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Yang Lin
Postdoctoral Scholar, Ophthalmology
BioYang Lin is a postdoctoral researcher in the laboratory of Dr. Andreas Tolias in the Department of Ophthalmology at Stanford University, where she joined in February 2024. She is also a member of the Enigma Project at Stanford.
Yang received her Ph.D. in 2023 from the IDG/McGovern Institute for Brain Research at Tsinghua University, where she trained under Dr. Song-Hai Shi. Her doctoral work focused on cortical development, investigating how developmental neuronal origin regulates neocortical map formation and characterizing the behavior and lineage progression of neural progenitors in the mammalian cortex.
As a postdoc, Yang has made a significant transition from developmental neuroscience into systems and computational neuroscience, focusing on how the visual brain supports active, goal-directed behavior. She currently leads behavioral and electrophysiological mice experiments in the Tolias lab. -
Lorraine Ling
Postdoctoral Scholar, Genetics
Current Research and Scholarly InterestsMy research focuses on the cell biology and biochemistry underlying the symbiotic relationship between corals and their partners, microscopic algae of the genus Symbiodinium. The algae live in the coral's gut tissue and provide its host products of photosynthesis while the coral provides inorganic carbon, nitrogen, and a safe habitat. I'm investigating the signaling pathways involved in 1) recognizing the correct algae partner 2) transfer of nutrients between the two.
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Lili Liu
Postdoctoral Scholar, Epidemiology
BioLili (Larry) Liu, PhD, is a postdoctoral fellow in the Department of Epidemiology and Population Health at Stanford University. Dr. Liu is an integrative epidemiologist whose research is unified by a consistent methodological approach rather than a single disease area. Across his master’s, doctoral, and postdoctoral training, he has repeatedly developed or operationalized epidemiologic frameworks and analytic programs and applied them to important public health questions spanning rare diseases, chronic disease, cancer, mortality, microbiome, and women’s health. His work brings together molecular biomarkers, large-scale population cohorts, and real-world health data to generate coherent, hypothesis-driven research on how genetic variation, lifestyle, pharmacologic factors, and early-life exposures shape inflammation, biological aging, and chronic disease risk across the life course.
During his master’s training at Peking University, Dr. Liu developed expertise in literature synthesis, national claims-based study, rare disease burden estimation, patient-centered health information research, cohort-based analysis, and vaccine effectiveness evaluation. He helped build and apply claims-based analytic algorithms to estimate incidence and prevalence for multiple rare diseases in China, led first-author studies on online health information and patient information needs in rare disease populations, and established an analytic framework for CHARLS-based cohort studies that supported multiple downstream projects. During his PhD training at Vanderbilt University, he expanded into population genetics, molecular and cancer epidemiology, mortality and health disparities research, gut microbiome, and pooled multi-study analyses. His doctoral work included a multi-ancestry GWAS of urinary prostaglandin E2 metabolite (PGE-M), development of PGE-M-derived dietary and lifestyle scores, and Mendelian randomization analyses linking lipid-related pathways to colorectal cancer risk. He also led several first-author studies in the Southern Community Cohort Study on poverty, sitting time, physical activity, walking and mortality, and alcohol intake and the gut microbiome, several of which received substantial public health and media attention.
At Stanford, Dr. Liu has developed an independent research program centered on women’s health and life-course epidemiology using U.S. national claims data. He has built large nationwide pregnancy and mother-baby cohorts from MarketScan to study adverse obstetric outcomes, long-term cardiometabolic and hepatic outcomes, and early-onset cancer risk. His first corresponding-author paper at Stanford examined gestational diabetes in relation to subsequent type 2 diabetes and metabolic dysfunction-associated steatotic liver disease, and his ongoing work extends this framework to cardiovascular, kidney, metabolic, and reproductive health outcomes, including PCOS and endometriosis. He also received a Stanford MCHRI fellowship grant to study prenatal and early-life antibiotic exposure in relation to pediatric inflammatory bowel disease and celiac disease. In parallel, his collaborative work includes placental and maternal-fetal research on extracellular vesicles and angiogenic signaling.
Methodologically, Dr. Liu works at the interface of causal inference, pharmacoepidemiology, molecular epidemiology, and scalable real-world data science, using reproducible analytic pipelines in R, Python, SQL, and high-performance computing environments. Across all stages of his training, the central theme of his work has been to build scalable analytic infrastructure and apply it to high-impact epidemiologic questions with broad public health relevance, with the overarching goal of translating rigorous population science into actionable strategies for chronic disease prevention in diverse populations. -
Lin Liu
Postdoctoral Scholar, Chemistry
BioI finished my undergraduate study in general chemistry at Shandong Normal University in 2014. Later, I continued to my master’s studies in organic chemistry at Lanzhou University. In 2018, I moved to Baylor University conducting research under the mentorship of Professor John L. Wood. During my graduate studies, I mainly focused on the total syntheses of natural products. In 2024, I joined the Khosla lab and Cui lab as a joint postdoc. Outside the lab, I like cooking, playing basketball, and watching movies
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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 -
Sheng Liu
Postdoctoral Scholar, Biomedical Data Sciences
BioSheng Liu is a postdoctoral fellow at Stanford University. In May 2023, He received a Ph.D. degree from New York University, majoring in Data Science and Machine Learning. His background is in the area of robust and trustworthy machine learning, machine learning for healthcare.
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Yang Merik Liu
Postdoctoral Scholar, Psychiatry
BioDr. Yang Merik Liu is currently a postdoctoral scholar (and an incoming Instructor) with the Department of Psychiatry and Behavioral Sciences, Stanford University, and is affiliated with the Center for Machine Vision and Signal Analysis, University of Oulu, Finland. He is a Co-I of the NIH/NIA R33 Grant, and was a PI of the North Ostrobothnia Regional Fund of the Finnish Cultural Foundation and the Instrumentarium Science Foundation, carrying out research on digital measures 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 Academy 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. Dr. Liu has published more than 40 papers in reputable journals and proceedings. He served as the Session Chair of IEEE FG 2025, the Track Chair of IEEE COINS 2026, the Guest Associate Editor of Frontiers in Psychology and Frontiers in Human Neurosciences, and organized tutorials and workshops in international conferences, i.e., HHAI 2024 and IEEE FG 2025. 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 post-/undergraduate students. His research interests include affective computing, cognitive computation for cross-species behavioral, and AI for aging medicine.
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Quentin Loisel
Postdoctoral Scholar, SCRDP/ Heart Disease Prevention
BioQuentin Loisel is a postdoctoral researcher at the Meta-Research Innovation Center at Stanford (METRICS), where his work focuses on how artificial intelligence is transforming scientific practice and how researchers can use AI to produce better, more robust, and more equitable science. His broader agenda is to help define a hybrid model of scientific inquiry that deliberately and transparently combines human judgment and artificial intelligence.
His research sits at the intersection of artificial intelligence, epistemology of science, and research systems. He studies how AI tools reshape knowledge production across the research lifecycle, from problem formulation and data analysis to writing, peer review, and governance, and examines the epistemic, methodological, and institutional consequences of human–AI collaboration in science. His work aims to move beyond risk-focused or purely technical perspectives by developing evidence-based, researcher-centric models for integrating AI into everyday scientific practice.
Before joining Stanford, he completed a Marie Skłodowska-Curie PhD on digital technologies for co-creation, combining cognitive science, collective intelligence, and participatory research. He has co-funded and is coordinating the Artificial Intelligence working group of the Marie Curie Alumni Association (MCAA), which is a researcher-driven community of practice on AI in research. He also advises a social company, called Health Cascade, on how to integrate AI in teams to solve complex societal problems.
