School of Medicine
Showing 1-10 of 14 Results
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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 ?-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.
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Alexander Ioannidis
Postdoctoral Research Fellow, Biomedical Data Sciences
Bio Alexander graduated from Harvard in Chemistry and Physics and earned an MPhil in Computational Biology from the University of Cambridge. Prior to Stanford, he worked in superconducting computing research at Northrop Grumman. He is a PhD graduate of Stanford's Institute for Computational and Mathematical Engineering, where he teaches machine learning and data science. As a current postdoctoral scholar, his research focues on applying computational methods to problems in human population genetics.
