School of Medicine
Showing 11-20 of 45 Results
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Zaniar Ghazizadeh
Postdoctoral Medical Fellow, Cardiovascular Medicine
Fellow in MedicineBioZaniar 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.
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Sneha Goenka
Postdoctoral Scholar, Cardiovascular Medicine
Ph.D. Student in Electrical Engineering, admitted Autumn 2017
Stanford Student Employee, Hoover InstitutionBioSneha Goenka is a Ph.D. candidate in the Electrical Engineering Department at Stanford University where she is advised by Prof. Mark Horowitz. Her research centers on designing efficient computer systems for advancing genomic pipelines for clinical and research applications, with a focus on improving speed and cost. She is a 2023 Forbes 30 Under 30 Honoree in the Science category, 2022 NVIDIA Graduate Fellow, and 2021 Cadence Women in Technology Scholar. She has a B.Tech. and M.Tech. (Microelectronics) in Electrical Engineering from the Indian Institute of Technology, Bombay where she received the Akshay Dhoke Memorial Award for the most outstanding student in the program.
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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.
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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
Postdoctoral Medical Fellow, Cardiovascular Medicine
Fellow in MedicineBioDr. 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
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.
