314-935-7208
songhu@wustl.edu
Brauer Hall, Room 2009

PhD, biomedical engineering, Washington University in St. Louis

BS and MS, electronic engineering, Tsinghua University, Beijing

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Song Hu

Biomedical Engineering

Associate Professor

Research

Song Hu’s research focuses on the development of cutting-edge optical and photoacoustic technologies for high-resolution structural, functional, metabolic and molecular imaging in vivo and their applications in neurovascular disorders, cardiovascular diseases, regenerative medicine, and cancer. In particular, his lab has invented multi-parametric photoacoustic microscopy, which enables simultaneous imaging of blood perfusion, oxygenation and flow at the microscopic level and lays the technical foundation for high-resolution oxygen-metabolic imaging. Moreover, his lab has developed the first-of-a-kind head-restrained PAM for high-resolution hemodynamic and metabolic imaging in the awake behaving brain, addressing a long-standing challenge in brain research. He begins on Jan. 1, 2020.

Biography

Song Hu joins the McKelvey Engineering School from the University of Virginia, where he is an associate professor of biomedical engineering. He has published over 60 peer-reviewed articles in journals including Science, Nature, Nature Neuroscience, and Proceedings of the National Academy of Sciences, and delivered more than 40 invited talks including a Neurotechnologies plenary talk at Photonics West and a President’s Symposium keynote talk at Annual Microcirculatory Society Meeting. His publications, including the 4th and 6th most-cited articles in Journal of Biomedical Optics since 2009 and the 5th most-cited article in Optics Letters since 2007, have accumulated over 6,000 citations (h-index: 30). He won the National Science Foundation CAREER Award in 2018 and the Ralph E. Powe Junior Faculty Enhancement Award in 2014. He serves on the editorial boards of Neurophotonics, Photoacoustics, and Scientific Reports.

Advances theranostics through the development of novel optical and photoacoustic technologies

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