Suzanne Pendl, PhD
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Suzanne Pendl, PhD, received her doctorate from the Medical College of Wisconsin in 2015 under the direction of Jeffrey Binder, MD, in the Language Imaging Lab. There she used primarily fMRI and MEG imaging techniques to uncover principles of semantic organization in the human brain. Pendl joined the Gao Lab soon after completing her degree and is currently using functional connectivity analysis to study brain development and adult neurological diseases.
Andrew P. Salzwedel, PhD
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Andrew P. Salzwedel, PhD, earned his doctorate from the Medical College of Wisconsin in 2014. Under the guidance of Edgar DeYoe, PhD, he was trained in functional magnetic resonance imaging (fMRI) and systems-level neuroscience. Salzwedel specifically studied the visual system to better understand how individual neural properties can be traced throughout the brain using fMRI in human and animal models. Next, he took a postdoctoral research position at the University of North Carolina at Chapel Hill under the tutorship of Wei Gao, PhD. Salzwedel received further neuroimaging training in the form of functional connectivity and graph theoretic approaches using the recently emergent technique of resting-state functional connectivity magnetic resonance imaging (rsfcMRI). His research primarily focused on early brain development with special emphasis on environmental risk factors such as prenatal drug exposure. He continues to work in the Gao Laboratory, focusing on the characterization of developmental trajectories, their alterations by environmental/genetic risk factors and, ultimately, the behavioral correlations thereof.
Feng Shi, PhD
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Feng Shi, PhD, received his doctorate in computer science from Institute of Automation, Chinese Academy of Sciences in 2008. He subsequently obtained postdoctoral training in medical image computing at the University of North Carolina at Chapel Hill, where he was an assistant professor of radiology since 2013. Shi joined the Gao Laboratory in 2016. His research interests include machine learning, neuro and cardiac imaging, multimodal image analysis and computer-aided early diagnosis.
Yue Cai, MS
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Yue Cai is a PhD candidate of Peking University, China, and is under the guidance of Jia-Hong Gao, PhD, and Yijun Liu, PhD. Cai’s work mainly focuses on early brain development of premature babies using resting-state functional connectivity magnetic resonance imaging (rsfcMRI) technique, which aligns with the research focus in the Gao Laboratory. She joined the Gao Lab in April 2016 and will work with Gao and his team to explore how preterm birth may affect brain development in the early stage.
Visiting Graduate Student Email: firstname.lastname@example.orgLearn More
Wan Li is a doctoral candidate at Beijing University of Technology majoring in biomedical engineering with the subfield of neuroimaging processing. Her current work focuses on individual morphological brain network construction based on T1-weighted images and longitudinal trajectory delineation of early hippocampo-cortical functional connectivity using resting-state fMRI images. She joined the Gao Laboratory in February 2017.