School of Medicine
Showing 801-850 of 1,614 Results
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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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MINGSHUO LIU
Postdoctoral Scholar, Biomedical Data Sciences
BioHello! I’m Mingshuo Liu, a postdoctoral scholar at Stanford University working with Professor Lu Tian. My research interests include high-dimensional statistics, statistical inference, and synthetic data. I’m always happy to connect and discuss potential collaborations, research ideas, or seminar opportunities. Feel free to reach out!
You can learn more about my research here: https://mingshuostat.github.io/ -
Zhiquan Liu
Postdoctoral Scholar, Ophthalmology
BioDr. Liu’s research focuses on:
1.Developing and optimizing novel genome-editing technologies.
2.Generating humanized animal models of disease using advanced genome-editing approaches.
3.Applying innovative genome-editing technologies to the treatment of ocular diseases. -
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. -
Avinash Londhe
Postdoctoral Scholar, Pathology
BioDr. Avinash Londhe is a postdoctoral researcher in Dr. Katrin Svensson’s lab in the Department of Pathology at Stanford University, where he investigates the complex mechanisms linking cancer, metabolism, and obesity. His research focuses on understanding how orphan peptide hormones regulate metabolic pathways and identifying novel receptor-peptide interactions. Driven by a passion for translational science, Dr. Londhe is committed to translating fundamental discoveries into real-world solutions that improve patient outcomes.
During his doctoral training in Dr. Benoit Boivin’s lab at SUNY Polytechnic Institute, Dr. Londhe gained in-depth expertise in molecular mechanisms underlying metabolic disorders and cancer. His work contributed to the development of therapeutic strategies aimed at metabolic dysfunction. In addition to research, he excelled at managing laboratory operations and mentoring both graduate and undergraduate students, fostering a dynamic and collaborative research environment.
Currently, Dr. Londhe is broadening his research toolkit by integrating bioinformatics, molecular biology, and biophysical techniques into his experimental approaches. His goal is to address critical challenges in cancer metabolism and metabolic diseases through innovative research.
Dr. Londhe aspires to secure a faculty position at a leading university, where he can advance impactful research, mentor emerging scientists, and continue driving scientific innovation. -
Chenery Lowe
Postdoctoral Scholar, Biomedical Ethics
BioChenery Lowe, Ph.D., CGC, is a genetic counselor and healthcare communication researcher. She received her ScM in Genetic Counseling from the Johns Hopkins University/ National Institutes of Health Genetic Counseling Training Program in 2018. Chenery received her Ph.D. in Social and Behavioral Sciences from Johns Hopkins Bloomberg School of Public Health in 2022, where she later served as an assistant scientist and academic director for the JHU/NIH genetic counseling program. Clinically, she has provided genetic counseling in immunology and adult oncology settings. She has taught graduate-level courses on interpersonal communication in health care, health literacy, and social and behavioral research in genetic counseling. Her research interests are in the areas of patient-provider communication, health equity, implicit bias, communication skills training interventions, and the ethics of interpersonal influence in medical care.
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Yougeng Lu
Postdoctoral Scholar, SCRDP/ Heart Disease Prevention
BioYougeng Lu (he/him/his) is a NIH T32 Postdoctoral Scholar with the Stanford Prevention Research Center at Stanford School of Medicine. His research focuses on exploring the linkages between exposure to urban nature, such as green space and street trees, and individual's physical activity and mental health. Yougeng received his Ph.D. in Urban Planning and Development from the University of Southern California, where he developed a high spatiotemporal resolution PM2.5 prediction model with low-cost air sensors and studied how people's travel behavior affects their air pollution exposure. He holds an M.Sc. in Urban Planning from University of Washington, Seattle; and a B.Sc. in Geography from Wuhan University, China.
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Anthony R. Lucas
Postdoctoral Scholar, Psychiatry
BioAnthony R. Lucas, PsyD, is a postdoctoral fellow in the Department of Psychiatry and Behavioral Sciences at Stanford University School of Medicine. His clinical work focuses on neurodiversity, mood and anxiety, and addiction, with a particular interest in autism and ADHD among adults identified or diagnosed later in life. At Stanford, he provides psychotherapy in the ADAPT Clinic for Mood and Anxiety Disorders and the Addiction Medicine Dual Diagnosis Clinic.
His approach emphasizes individualized case formulation and evidence-based treatment, with attention to the relational and contextual factors that shape symptoms, functioning, and recovery.
Dr. Lucas has also provided clinical supervision to graduate trainees at the Palo Alto VA, with an emphasis on case formulation, clinical reasoning, and reflective practice.
He completed his APA-accredited doctoral internship in clinical psychology at Kaiser Permanente Northern California’s Addiction Medicine & Recovery Services in Walnut Creek. -
Charlotte Luff
Postdoctoral Scholar, Psychiatry
BioCharlotte is a postdoctoral scholar in the lab of Professor Luis de Lecea. Her research interests include the brain phenomena underpinning non-invasive neuromodulation such as focused ultrasound and electrical brain stimulation, and in the de Lecea lab she studies this with relation to sleep and addiction. Charlotte completed her PhD in the Interventional Systems Neuroscience lab of Dr Nir Grossman at Imperial College London. Her PhD research focused on uncovering the biophysical mechanism of temporal interference (TI) brain stimulation, primarily using electrophysiology and computational modelling. During her PhD, Charlotte spent a year as a visiting PhD student in Professor Ed Boyden’s lab at MIT, where she was trained in automated in-vivo patch clamp. Previously, Charlotte completed a BSc in Biomedical Science at King’s College London, and an MRes in Experimental Neuroscience at Imperial College London.
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Xiangde Luo
Postdoctoral Scholar, Radiation Physics
BioXiangde Luo is a postdoctoral researcher in Professor Ruijiang Li’s lab at Stanford Medicine, where he specializes in computational pathology. His work centers on developing AI‑driven methods for imaging biomarker discovery and precision oncology. Previously, he has developed some deep learning models to enable annotation‑efficient learning and advance biomedical image analysis. For a comprehensive overview of my research, please visit my Google Scholar profile: https://scholar.google.com/citations?hl=en&user=dD4HLS4AAAAJ. If you’d like to learn more or discuss potential collaborations, please don’t hesitate to get in touch.
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Tiffany Luong
Postdoctoral Scholar, Infectious Diseases
BioTiffany Luong obtained her Ph.D. from UCSD/SDSU in the lab of Dwayne Roach where she studied the formulation, purification, and application of bacteriophages targeting the ESKAPE pathogen Pseudomonas aeruginosa. Currently, her research in the Bollyky Lab focuses on the development of preclinical models to study chronic infections of P. aeruginosa and the immunogenicity of bacteriophages to the mammalian host.
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Qianheng Ma
Postdoctoral Scholar, Psychiatry
BioQianheng (Jessica) Ma obtained her PhD degree of biostatistics at University of Chicago under the supervision of Prof. Donald Hedeker and is the 2021 recipient of the dissertation grant from Society of Multivariate Experimental Psychology (SMEP). Her current research focus are modern statistical methods and deep learning techniques for mining (multivariate) intensive longitudinal data especially psychological/behavioral measures collected by mobile/wearable devices. Besides research, she loves playing the piano and is good at Jazz improvisation and she can speak fluent Cantonese.
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Quan Maq Ma
Postdoctoral Scholar, Genetics
BioQuan (Maq) Ma is a postdoctoral researcher in the Department of Genetics at the Stanford School of Medicine. His research focuses on developing high-throughput sequencing technologies to study RNA modifications and identify substrates of RNA-binding proteins using biochemical and chemical biology approaches. Maq is also interested in the role of RNA editing in inflammatory chronic diseases.
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Sasidhar Madugula
Postdoctoral Scholar, Neurosurgery
Current Research and Scholarly InterestsMy research focuses on high-precision neural interfaces and the development of next-generation brain-computer interfaces (BCIs) for sensory and motor restoration. I am particularly interested in the biophysics of electrical stimulation, systems neuroscience, and the decoding of neural activity for high-fidelity communication and control. My work spans both fundamental and translational neuroscience.
