Lead Research Scientist GW Nanofabrication and Imaging Center and Professor of Anatomy and Cell Biology GW School of Medicine and Health SciencesBiography
The prime aspect of my work is to serve as a director of the George Washington (GW) University's Nanofabrication and Imaging Center (NIC). In this role I incorporate research instrumentation and work-flow based approaches aiming to facilitate research discovery process. Another considerable part of my effort focuses on neuroscience research exploring animal models of diseases. These two lines of responsibility are connected via microscopic imaging, which as a final outcome aims to reverse engineer the abnormal brain and lead to a better understanding of the structural foundations of neuro-developmental disorders. I obtained a M.D. in 1991 from the Medical University of Sofia and a doctorate in medical sciences from the University of Cologne in 2000. My passion to study neuronal structure and connectivity with electron and light microscopy was developed as a medical student and lead me to pursue academic career. I held faculty position at the Medical University of Sofia, a visiting scholar at the laboratory of Profs. A.Rustioni and R.J.Weinberg, and a fellowship at the ENT/University of Cologne. In 2000, I joined GW in Prof. Peusner's lab, where I applied anatomical techniques combined with electron microscopy and confocal imaging to study the development and plasticity of the vestibular system. In 2006, I became a director of the Center for Microscopy and a professor of anatomy. The combination of considerable Federal support and energized research base, allowed this center to develop as a hub for innovative scientific research both in electron and light microscopy. Further, significant institutional investments led its expansion into GW Nanofabrication and Imaging Center, where state of art microscopy imaging are being performed. I applied neuronal tracers, electron and light microscopy approaches in my studies. My research strategies are dominated by innovative concepts of work-flow across modalities and strongly data science driven approaches.