School of Medicine


Showing 11-20 of 32 Results

  • Hirotaka Ieki

    Hirotaka Ieki

    Postdoctoral Scholar, Cardiovascular Medicine

    BioCardiologist in Japan.
    Research interest: precision medicine in cardiovascular disease. Genomics, Exposomics.

  • Hiroyuki Inoue

    Hiroyuki Inoue

    Postdoctoral Scholar, Cardiovascular Medicine

    BioPhysician-scientist passionate about bridging research findings and clinical practice
    - Board certified cardiologist with 10+ years clinical experience, focused on cardiovascular diseases including heart failure, ischemic heart disease, arrhythmia, and general internal medicine
    - Experience of 400+ cases as the primary operator in percutaneous coronary intervention, catheter ablation, and cardiac device implantation
    - Research expertise in extracelluler vesicles, regenerative medicine, genome editing and gene therapy

    Dr. Inoue joined the Yang lab in 2022. His research focuses on developing novel therapeutics for heart failure by targeting cardiomyocyte metabolism

  • Arash Keshavarzi

    Arash Keshavarzi

    Postdoctoral Scholar, Cardiovascular Medicine

    BioArash has a background in molecular biology and chemistry, and earned his PhD in AI-driven drug discovery, where his work led to the identification of three candidate drugs for breast cancer, validated both in vitro and in vivo. Following this, he joined a lab at UCSF for his first postdoctoral position which led to a patent for AI drug discovery applications which led to multiple patents and articles. Throughout his career, Arash has also been involved in multiple ventures. He served as the Chief Scientific Officer at Nucleus Genomics with $17 million seed funding, and co-founded Lumos Bio, a stealth focused on RNA-targeted drug discovery. Currently, Arash is a NIH T32 fellow postdoc in the Ashley Lab and an investment fellow in Mubadala Capital

  • 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.

  • Hector Rodrigo Mendez

    Hector Rodrigo Mendez

    Postdoctoral Scholar, Cardiovascular Medicine

    BioDr. Hector Rodrigo Mendez is a Medical Geneticist from Argentina. Rodrigo completed a residency program in Medical Genetics at Centro Nacional de Genetica Medica – ANLIS (Buenos Aires, Argentina) and a Master’s program in Medical Molecular Biology at Buenos Aires University.

    Rodrigo continued his scientific career at a German Genomic Start-up, working as a human geneticist and providing his experience in rare disorders, genomic data (WGS/WES/gene panels) analysis, variant interpretation, and its integration with a deep focus on genotype-phenotype correlation.

    Rodrigo’s areas of expertise are rare disorders, NGS technology, Whole Genome Sequencing analysis, and ACMG interpretation guidelines, and his research aims are:

    - Collection and analysis of clinical data through deep-learning phenotyping approaches.
    - Multi-omic data integration to elucidate complex and rare genetic disorders.
    - Drive progress in curing rare genetic diseases, particularly among critically sick infants.

    At Stanford University, under the supervision of Dr. Matthew Wheeler, he is conducting his postdoctoral research studies to achieve his scientific goals.