School of Medicine

Showing 1-10 of 18 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.

  • Asaf Ilovitsh

    Asaf Ilovitsh

    Postdoctoral Research Fellow, Molecular Imaging Program at Stanford

    Bio Asaf Ilovitsh received his B.Sc. in Physics (2004), M.Sc. in Electrical Engineering (2012), and Ph.D. in Electrical Engineering (2016), from Bar Ilan University, Israel. His Ph.D. research involved developing new methods for super resolution optical imaging, especially using the time domain. Asaf joined the Ferrara lab in 2016 as a postdoctoral fellow. His research involves developing rapid elastography measurements using MR-guided Focused Ultrasound (MRgFUS), and developing new ultrasound imaging methods.

  • Tali Ilovitsh

    Tali Ilovitsh

    Postdoctoral Research Fellow, Molecular Imaging Program at Stanford

    Bio Tali Ilovitsh is a postdoctoral fellow in Prof. Katherine Ferrara laboratory at the Department of Radiology, School of Medicine, Stanford University. She received her B.Sc. (2010), M.Sc. in a direct track (2011), and Ph.D. (2016) degrees in electrical engineering from Bar Ilan University, Israel. Her Ph.D. research in the field of optical imaging was focused on the development of super-resolution techniques for microscopy. Since joining the Ferrara lab in 2016 she has been working in the fields of ultrasound therapy and imaging. Her research is focused on the development of medical ultrasound technologies that provide non-invasive, cost effective, real-time and safe monitoring, diagnostics and therapy for clinically relevant problems. Currently, she uses low frequency focused ultrasound as a mean to open the blood brain barrier and facilitate drug delivery. Additionally, she develops an ultrasound beam shaping technology that allows to image tissues beyond ultrasonically-impenetrable obstacles, and is also used for label-free ultrasound super-resolution.

  • Alexander Ioannidis

    Alexander Ioannidis

    Postdoctoral Research Fellow, Biomedical Data Sciences

    Bio Alex 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.