School of Medicine


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  • Maryam Amirahmadi

    Maryam Amirahmadi

    Postdoctoral Scholar, Cardiovascular Medicine

    BioDr. Maryam Amirahmadi is a microsurgery expert and postdoctoral research fellow at Stanford Cardiovascular Institute. She obtained her Doctor of Medicine (MD) degree from Hamadan University of Medical Sciences. After more than a year of experience as a Family and Emergency Physician, she spent around 4 years at the Department of Cardiovascular Surgery of Shiraz University of Medical Sciences where she served as a pediatric and adult Cardiac Intensive Care physician and received training in cardiovascular surgery at Namazi and Faghihi hospitals. She then spent a year in the Department of Vascular Surgery at the University of Miami, Miller School of Medicine, serving as a postdoctoral researcher and performing microsurgery on animals, with her research focused on therapeutic strategies to improve neovascularization after limb ischemia. Dr. Amirahmadi joined Stanford Cardiovascular Institute in 2022 where she is now a postdoctoral research fellow under the supervision of Prof. Philip S. Tsao, a renowned cardiovascular scientist. Her research interests and practical expertise include Microsurgery, and the effect of e-cigarette vaping on factors of inflammatory or immune pathways that can subsequently be related to the molecular mechanisms involved in angiogenesis and arteriogenesis in the murine model of hindlimb ischemia, as well as the mechanisms of e-cigarette and nicotine’s effects in augmenting Abdominal Aortic Aneurysm (AAA) in rodent models of aortic aneurysm, including porcine pancreatic elastase-induced AAA. Dr. Maryam Amirahmadi and her colleagues are currently investigating the transgenerational effects of vaping/nicotine on abdominal aortic aneurysm (AAA) risk.

  • Zahra Azizi

    Zahra Azizi

    Postdoctoral Scholar, Cardiovascular Medicine

    BioI am a medical doctor and clinical epidemiologist, presently serving as a scientist at Stanford University. My work centers on precision medicine, employing digital health, computer science, and artificial intelligence (AI) techniques. I am dedicated to integrating and applying these methodologies within the medical field to generate novel insights and deepen understanding of health-related issues. My focus also extends to tackling health disparities, with the ultimate goal of enhancing patient care and reducing disease impact.

  • Adrian Matias Bacong

    Adrian Matias Bacong

    Postdoctoral Scholar, Cardiovascular Medicine

    Current Research and Scholarly InterestsAdrian M. Bacong, PhD, MPH is a social epidemiologist by training. His research seeks to identify social and structural factors that underlie health inequities by race, ethnicity, and immigration status. Specifically, his work has explored the role of socioeconomic factors in explaining health disparities by immigrant legal status and visa type. Furthermore, Adrian is interested in the effects of immigration on health. He received a NIH F31 award (1F31MD015931-01A1) to examine factors affecting the health of Filipino migrants to the U.S. compared to Filipinos remaining in the Philippines.

    Adrian has also examined the intersections of race, ethnicity, and immigration status among older adults. Finally, Adrian written upon the role of data disaggregation as a method of public health critical race praxis. Currently, Adrian is researching the role of social and policy level factors underlying health disparities among immigrants.

  • Ming Li (Estella) Chen

    Ming Li (Estella) Chen

    Postdoctoral Scholar, Cardiovascular Medicine

    BioI am an MD from Chung Shan Medical University, Taiwan. Before coming to Stanford, I obtained my MS degree in epidemiology at Harvard T.H. Chan School of Public Health, Boston, MA, where I completed graduate training in clinical, pharmacologic, and genetic epidemiology, and pursued advanced skills in biostatistics and causal inference.

    My past research focused on real-world epidemiology studies using patient registries and national health insurance databases to elucidate the predictors or risk factors of immunologic diseases. For my graduate study, I conducted pharmacoepidemiology studies using electronic health record (EHR) data to elucidate the predictors of anti-drug antibodies development and its correlation to autoimmunity, to identify the generation of immunogenicity that may impact the effectiveness of monoclonal antibody therapies in individuals with autoimmune diseases. I gained experience in genetic data manipulation to investigate polymorphisms in response to monoclonal antibody therapies in asthma patients.

    At Stanford, I am involved in research on the identification of molecular determinants of cardiometabolic diseases.

  • Zaniar Ghazizadeh

    Zaniar Ghazizadeh

    Postdoctoral Medical Fellow, Cardiovascular Medicine
    Fellow in Medicine

    BioZaniar completed his Internal Medicine training at Yale New Haven Hospital/Yale School of Medicine. He received his medical degree from Tehran University of Medical Sciences and spent a few years as a post-doctoral fellow at Weill Cornell Medicine and Brigham and Women’s Hospital before his residency. His research interest lies in the development of in vitro and in vivo platforms for studying heart regeneration and precision medicine. Zaniar’s work is focused on identifying the mechanisms of cardiac arrhythmias using several experimental systems ranging from genetically engineered animal models to human pluripotent stem cell derived cardiac cell types. His ultimate goal as a clinician-scientist is to utilize this framework for drug discovery and identifying new therapeutic strategies that can prevent or reverse specific arrhythmias.

  • Bruna Filipa Gomes Botelho Quintas

    Bruna Filipa Gomes Botelho Quintas

    Postdoctoral Scholar, Cardiovascular Medicine

    Current Research and Scholarly InterestsThe increasing availability of very large datasets, along with recent advances in deep learning based tools for automatic extraction of cardiac traits, has led to the discovery of further common variants associated with cardiac disease. However, the genetic underpinnings of valvular heart disease remains understudied. I am interested in developing deep learning techniques to automatically extract cardiac flow information to facilitate genome-wide association studies of cardiac flow traits.

  • Hiroyuki Inoue

    Hiroyuki Inoue

    Postdoctoral Scholar, Cardiovascular Medicine

    BioDr. Inoue is a physician-scientist who is enthusiastic about bridging research findings and clinical practice.
    - a board certified cardiologist with 10+ years clinical experience
    - experience in 400+ cases as a main operator in percutaneous coronary intervention, catheter ablation, and cardiac device implantation
    - research expertise primarily in iPSCs, genome editing, and regenerative medicine

    Dr. Inoue joined the Yang lab in 2022. His research aim is the development of novel regenerative therapeutics for heart failure.

  • Sneha Shah Jain MD, MBA

    Sneha Shah Jain MD, MBA

    Postdoctoral Medical Fellow, Cardiovascular Medicine
    Fellow in Medicine

    BioDr. Sneha S. Jain is a fellow in the Division of Cardiovascular Medicine. She previously was an internal medicine resident at Columbia/NewYork-Presbyterian, during which time she was selected as a Silverman Fellow in Healthcare Innovation. In this capacity, she worked with clinical and data science partners to build and deploy the technological infrastructure to identify patients with certain cardiac conditions earlier in the course of their disease. She received her MD from the Johns Hopkins School of Medicine and her MBA from Harvard Business School. She graduated with distinction from Duke University with a BS in Economics. During her time at Harvard Business School, she worked at Moderna Therapeutics and the VC firm Flare Capital.

    Her research and entrepreneurial interests focus on the development and clinical trials of digital health and machine learning to reimagine healthcare delivery models and improve patient outcomes in cardiology.

  • Pik Fang Kho

    Pik Fang Kho

    Postdoctoral Scholar, Cardiovascular Medicine

    BioI obtained my PhD in genetic epidemiology at Queensland University of Technology (Australia), where my research was focused on using genetic and genomic approaches to identify risk factors for endometrial cancer. During my graduate studies, I gained experience in large-scale genetic association studies and leveraging the correlation between diseases in genetic studies to identify novel genetic variants associated with endometrial cancer. I also developed expertise in various statistical genetic approaches in multi-omics data, including fine-mapping and colocalization analyses, to prioritize candidate causal variants and genes. I also gained extensive experience in genetic causal inference analysis to infer causality between risk factors and health outcomes.

    My research focus since moving to Stanford has been the identification of genetic and non-genetic determinants of cardiometabolic diseases. I am currently involved in projects including large-scale genetic association studies, multi-trait analysis with correlated traits, development and validation of polygenic risk scores, integrative analyses with multi-omics data, as well as Mendelian randomization analyses to advance our understanding of the genetic and environmental factors that contribute to cardiometabolic diseases.