School of Medicine


Showing 1-10 of 12 Results

  • Gentaro Ikeda

    Gentaro Ikeda

    Postdoctoral Research Fellow, Cardiovascular Medicine

    Bio My long-term goal is to become a physician scientist and develop innovative diagnostic and therapeutic modalities for patients with cardiovascular disease. Based on my experience as a cardiologist for the past 5 years, I have become aware of major clinical shortcomings, specifically in the current pharmaceutical therapies for myocardial infarction (MI) and chronic heart failure (HF). Some evidence-based drug therapies, including β-blockers, ivabradine, and renin–angiotensin–aldosterone antagonists are difficult to apply to critical patients due to adverse side effects. Drugs that have shown efficacy in basic animal experiments have failed to show significant benefits in clinical trials. To address these problems, I moved to academia to conduct translational research. During my graduate training in the Egashira Lab, I focused on drug delivery systems (DDS) that target mitochondria in animal models of MI. I obtained advanced skills in molecular biology, mitochondrial bioenergetics, and animal surgery. I realized the importance of translational research and the great potential of DDS to overcome many clinical problems. I developed nanoparticle-mediated DDS containing cyclosporine for the treatment of patients with MI. I published a first author paper and received academic awards for my novel science. Since becoming a postdoctoral fellow in the Yang Lab, I have continued to build upon my previous training in translational research. I am currently developing an innovative therapy, namely, extracellular vesicles-mediated mitochondrial transfer for the failing heart.

  • Alexander Ioannidis

    Alexander Ioannidis

    Postdoctoral Research Fellow, Biomedical Data Sciences

    Bio Alexander graduated from Harvard in Chemistry and Physics and earned an M.Phil in Computational Biology and Diploma in Greek from the University of Cambridge. He has a Ph.D. in Computational and Mathematical Engineering from Stanford, where he teaches machine learning and data science. Prior to Stanford, he worked in superconducting computing research at Northrop Grumman. As a current research fellow in the Stanford School of Medicine (Department of Biomedical Data Science), his work focuses on applying computational methods to problems in human genetics and population history.

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    I work on methods for creating synthetic genomic data for DNA privacy, as well as on novel algorithm design (particularly ancestry related) for several large-scale genomic studies that aim at understanding genetic causes of disease.

    I also focus on projects at the intersection of computational history and population genetics, including work with native communities. As the grandson of Cappadocians expelled from their homeland, I try to engage with the complex sentiments of displaced native peoples in these projects. Pain over the disruption of community heritage and over dispossession from traditional sites often remains raw. If engagement with descendant communities is lacking, research into our past can often feel like a continuation, even a legitimation, of our dispossession. Combined alongside a dialogue with indigenous peoples, however, genetics can play a small role in helping us to reclaim ancestral stories and dispersed community connections. I hope my work in this area plays a constructive role in that process.

    As written by the poet Rumi in the language of the Cappadocians (Rum),
    پیمی تیِ پَاثیِسْ پیمی تی خاسِس
    “Tell me what happened to you, tell me what you have lost.”
    [Rumi; Konya ms 67; translit. πε με τι έπαθες, πε με τι έχασες]