School of Medicine
Showing 101-150 of 223 Results
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Jeehee Lee
Postdoctoral Scholar, Orthopedic Surgery
BioDr. Lee is a dedicated researcher in the field of biomedical engineering, driven by a strong desire to help individuals suffering from illnesses. With a particular interest in disease treatment and regeneration, she embarked on her journey in this field. During her doctoral studies, Dr. Lee focused on developing functional biomaterials by leveraging chemical bonding at interfaces. Her expertise in this area led her to successfully create functional medical devices. Currently, as a postdoctoral researcher at Stanford University, Dr. Lee is actively involved in drug screening using a bone-mimicking 3D in vitro cancer model that utilizes biomaterials. Her research is centered around the utilization of biomaterials to develop innovative approaches for tuning the communication between cells and biomaterials. By advancing in the field of biomaterials, Dr. Lee aims to facilitate a better understanding of cell-biomaterial interactions, with the ultimate goal of improving healthcare outcomes. With her passion for cutting-edge research and her commitment to the development of biomaterials, Dr. Lee is dedicated to making significant contributions to the field and shaping the future of healthcare.
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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. -
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 engineering 2019 -
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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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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Amit Manhas
Instructor, Cardiovascular Institute
BioDr. Amit Manhas is an instructor at the Stanford Cardiovascular Institute, specializing in cardiovascular disease modeling, cardio-oncology, and stem cell biology. Dr. Manhas earned his PhD in Biological Sciences from the Pharmacology Division at the CSIR-Central Drug Research Institute in Lucknow, India, where his doctoral research focused on cardioprotective mechanisms in ischemic injury.
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Brittany Elizabeth Matheson, PhD
Clinical Associate Professor, Psychiatry and Behavioral Sciences
BioBrittany Matheson, PhD, is a clinical associate professor and licensed clinical psychologist in the Eating Disorders Clinic. She completed her undergraduate degree at Duke University, doctorate from the Joint Doctoral Program in Clinical Psychology at San Diego State University and the University of California, San Diego, and APA clinical internship at Lucile Packard Children’s Hospital Stanford (LPCH)/Children’s Health Council. Dr. Matheson is a certified family-based treatment (FBT) therapist and consultant. She is also the director of the Stanford Eating Disorder Research Program Data Coordination Center and collaborates with colleagues on NIH-funded randomized clinical trials. Dr. Matheson's research interests include examining the psychosocial, neurocognitive, and familial factors related to disordered eating and excess weight gain in youth. She is interested in the development and implementation of evidence-based treatments for youth with disordered eating as well as better understanding factors that influence pediatric bariatric surgery outcomes. Dr. Matheson has specialized research and clinical expertise in the interplay among obesity, disordered eating, and autism spectrum disorder and is the director of psychological services for the LPCH adolescent metabolic and bariatric surgery program. She conducts comprehensive evaluations and provides evidence-based treatments for individuals across the age-spectrum with eating disorders, including anorexia nervosa, bulimia nervosa, binge eating disorder, avoidant/restrictive food intake disorder, and other specified feeding and eating disorders. Her recent research focuses on reducing access to care barriers by digitizing evidence-based treatments and utilizing technology to enhance treatment outcomes.
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Esmeralda Melgoza
Postdoctoral Scholar, Emergency Medicine
BioEsmeralda Melgoza, PhD, MPH, CHES is a postdoctoral researcher in the Department of Emergency Medicine at Stanford University's School of Medicine. Her research examines health inequities in the U.S. healthcare system, with a focus on emergency medical services provided in the prehospital setting and the emergency department. She centers her research on the experiences of underserved populations, including Latine/Hispanics, older adults, and people with limited English proficiency. She is trained in both quantitative and qualitative methods. Her research has been published in peer-reviewed journals, including JAMA Network Open, Medical Care, the Journal of the American Heart Association, Health Affairs Scholar, Prehospital Emergency Care, and SSM-Qualitative Research in Health, among others.
Dr. Melgoza received her PhD in Community Health Sciences from the UCLA Fielding School of Public Health and a minor in Gerontology from the USC Leonard Davis School of Gerontology. Her dissertation research was funded by an R36 grant from the National Institute on Aging. Dr. Melgoza is a former Senior Research Analyst at the UCLA Latino Policy and Politics Institute and an alumna of the Yale Ciencia Academy at Yale University. She is bilingual in English and Spanish. In her spare time, she enjoys spending time with her family, traveling, mentoring, and hiking. -
Vaishali Mittal
Member, Maternal & Child Health Research Institute (MCHRI)
BioVaishali Mittal, MD is a Postdoctoral Clinical Fellow in the Department of Dermatology at Stanford University under the guidance of Dr. Jean Y. Tang.
Her current research is focused on epidermolysis bullosa (EB), a group of rare diseases that cause the skin and mucous membranes to blister easily. She is involved in conducting long-term clinical trials examining the application of an autologous, gene-corrected keratinocyte sheet for the treatment of recessive dystrophic EB (RDEB). In addition, she is currently leading several research projects, including investigation of genotype-phenotype associations in multiple subtypes of EB, creation of an online platform for EB patients/families and investigators to collaborate together on research, and development of an online genetic registry for EB patients using a novel, home-based genetic testing kit.
Vaishali received her medical degree from Stanford University School of Medicine and completed her internship at Beth Israel Deaconess Medical Center/Brockton Hospital. -
Masashi Miyauchi
Basic Life Research Scientist, Medicine - Med/Hematology
BioMasashi Miyauchi, MD, PhD, is a physician-scientist specializing in hematology, oncology, immunology, and stem cell biology, with over a decade of experience in clinical hematology and oncology. Dr. Miyauchi's academic career commenced at Kyoto University, where he obtained his MD in Medicine. He furthered his expertise with a PhD in Internal Medicine from The University of Tokyo, Graduate School of Medicine. Following his comprehensive clinical training and professional appointments at The University of Tokyo Hospital, Dr. Miyauchi embarked on a postdoctoral journey at Stanford University in the Nakauchi lab, starting in July 2019.
Dr. Miyauchi's clinical training is extensive, including a Senior Residency in Internal Medicine and a Clinical Fellowship in Hematology and Oncology at The University of Tokyo Hospital. This period was complemented by his participation in a Cancer Professional Training Plan. After completing his clinical fellowship, Dr. Miyauchi has served in various pivotal roles at The University of Tokyo Hospital and The University of Tokyo. His positions as a clinically-focused Project Assistant Professor and Assistant Professor in the Department of Hematology and Oncology have enabled him to contribute significantly to pioneering research and education for the next wave of medical professionals.
In his PhD research, Dr. Miyauchi specialized in the disease modeling of cancers and cancer stem cells, employing cancer patient-specific induced pluripotent stem cells (iPSCs). His work with iPSCs notably includes scalable ex vivo manufacturing of human neutrophils. In his postdoctoral research under the guidance of Dr. Hiromitsu Nakauchi in Genetics at Stanford, Dr. Miyauchi has been concentrating on developing a stable hematopoietic stem cell (HSC) expansion system in both mouse and human models. His research is focused on exploring the potential applications of this expansion system, underlining his commitment to advancing the fields of stem cell biology, regenerative medicine and oncology. -
Namu Park
Postdoctoral Scholar, Biomedical Informatics
BioDr. Park is a Postdoctoral Scholar at the Division of Computational Medicine at Stanford University, where he is co-advised by Dr. Tina Hernandez-Boussard and Dr. Yair Bannet. He received his PhD in Biomedical and Health Informatics from the University of Washington.
His research focuses on clinical natural language processing and large language models for healthcare. He develops clinically grounded information extraction methods and evaluation frameworks that reflect real-world clinical workflows. His work examines how large language models can be aligned with clinical reasoning and rigorously evaluated for safe and effective deployment in health systems.
Through interdisciplinary collaboration, Dr. Park aims to bridge advances in foundation models with measurable clinical impact, emphasizing reliability, transparency, and scalability in AI-driven healthcare applications. -
Preethy Parthiban
Postdoctoral Scholar, Neonatal and Developmental Medicine
BioMy research centers on how the innate immune system shapes tissue remodeling in health and disease. During my PhD, I uncovered a key role for resident macrophages in driving cardiac fibrosis, identifying a macrophage-derived chemokine that directly activates cardiac fibroblasts. Building on this foundation, my postdoctoral work at Stanford focuses on neutrophil–macrophage crosstalk in disrupted alveolarization in neonatal mice and patients. By integrating cellular, molecular, and translational approaches, I aim to define how innate immune pathways orchestrate extracellular matrix remodeling. Ultimately, my goal is to identify critical therapeutic targets that improve outcomes in ECM-related diseases.
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Deanna Pepin
Postdoctoral Scholar, Pathology
BioHey there! I was born in the small town of Selkirk, Manitoba, but lived most of my life in Edmonton, Alberta. I completed my Bachelor of Science at Kings University, focusing on biology and did undergrad research on Pink Pigmented Facultative Methylotrophs - bacteria that degrade petrochemicals. Following graduation, I became a Research Technician with Exciton Technologies Inc., a research and development company producing silver-based wound care products for treating infections. In 2016, I joined Dr. Benjamin Willing’s lab in Agriculture, Food, and Nutritional Sciences at the University of Alberta and completed a Master of Science focusing on how certain husbandry changes impact the development of the gastrointestinal microbiota, Salmonella infection resistance, and immune response in broiler production. In 2024, I completed my PhD in the department of Microbiology & Immunology at UBC, working with Dr. Carolina Tropini to understand the impact of osmotic stress on the gut microbiome.
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Ali Rahimpour Jounghani
Research Scientist, Psychiatry and Behavioral Sciences - Interdisciplinary Brain Sciences
BioMy long-term research interests lie in advancing our understanding of neuroimaging techniques and their application in mapping developmental pathways of brain networks, with a focus on how alterations in these networks contribute to mental health disorders. My academic training and multidisciplinary research background have provided me with expertise in a range of neuroimaging modalities, including functional MRI (fMRI), structural MRI, electroencephalography (EEG), and functional near-infrared spectroscopy (fNIRS).
During my doctoral studies, I investigated the effects of contextually specific, action-based timing behavior on brain responses, as well as the functional impacts of timing behavior in cochlear implant users. These studies provided valuable insights into the temporal dynamics of brain function. My research has also extended to clinical and cognitive applications, such as studying brain functionality in infants in neonatal intensive care units and in adults with brain disorders.
Currently, as a research scientist at Stanford University, my work bridges psychiatry, cognitive science, and biomedical engineering. I focus on refining neuroimaging data analysis techniques and advancing the use of fNIRS and MRI to explore developmental cognition, particularly for ADHD. A significant part of my current research involves the development of a wearable, cost-effective fNIRS platform for precision mental health. Through my work, I aim to contribute to a deeper understanding of brain disorders and to create practical, cutting-edge tools that advance precision mental health care. -
Vasiliki Rahimzadeh
Member, Maternal & Child Health Research Institute (MCHRI)
BioVasiliki (Vaso) Rahimzadeh, PhD is an applied bioethics scholar with research interests at the intersection of precision medicine, data governance and public policy.
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Mahalakshmi Ramamurthy
Affiliate, Peds/Developmental-Behavioral Pediatrics
BioI am a postdoctoral scholar working with Dr. Jason Yeatman. With a background in vision science, psychophysics and developmental cognitive neuroscience my long-term goal is to study the intersection of basic visual mechanisms and various neurodevelopmental disorders and to extend this understanding in creating effective early screening tools, and in advancing evidence-based therapeutic and remediation programs. Inherent to this interest is the need for developmental data in large and demographically diverse populations. I strongly believe that such inclusive research not only contributes to scientific advancements but can go beyond to bridge health and education disparities.
https://sites.google.com/view/maha-ramamurthy/bio -
Emily Scarpulla Raymond
Member, Maternal & Child Health Research Institute (MCHRI)
BioDr. Emily Scarpulla Raymond, PhD is a pediatric psychology fellow at Stanford University. She received her PhD at the University of Maine, Orono in clinical psychology in 2024 and received her bachelor’s degree in psychology at the University of Rochester in 2018. Emily has conducted research focusing on adolescent psychosocial behavior and outcomes with a particular emphasis on the role of social media in adolescent friendships. As a clinician, Emily works with children and adolescents with comorbid medical and psychological conditions in several medical clinics through Lucile Packard Children's Hospital Stanford.
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Eduardo Pontes Reis
Affiliate, Rad/Pediatric Radiology
BioI'm a visiting scholar at Stanford AIMI Center, working in the intersection of Artificial Intelligence and Medicine. My purpose is to contribute to our understanding of intelligence. And our best chance to achieve this is through AI.
Research highlights:
- Published BRAX, the Brazilian Chest X-ray Dataset - https://www.nature.com/articles/s41597-022-01608-8
- Open-sourced the PyTorch implementation of ConVIRT (Y Zhang et al), a contrastive learning method for radiologic images and text (before CLIP) - https://github.com/edreisMD/ConVIRT-pytorch
- Released Brain Hemorrhage Annotations - Brain Hemorrhage Extended - BHX (https://physionet.org/content/bhx-brain-bounding-box)
At Hospital Israelita Albert Einstein:
- Started the Health Story project, a medical history timeline to support research and a more personalized clinical practice
- Ran the development of AI algorithms for diseases of national importance: Tuberculosis, COVID, Melanoma and Head CT
