Xu, Nan
Dr. Nan Xu is an incoming Assistant Professor (Dec 2024) at the Fischell Department of Bioengineering. With a strong foundation as a computational scientist, her research spans statistical learning, applied mathematics, neuroscience, and various biomedical applications. Her primary efforts are centered on developing advanced computational models and analyses with functional neuroimaging data to uncover novel insights into brain functions and diseases. Nan completed her undergraduate studies at the University of Rochester, earning a B.S. in Electrical and Computer Engineering and a B.A. in Mathematics, with a minor in Music, in 2011. She then pursued graduate studies at Cornell University, where she received her M.Sc. (2015) and Ph.D. (2017) in Electrical and Computer Engineering, minoring in Applied Mathematics and Cognitive Neuroscience. Throughout her postdoctoral journey, Nan gained extensive interdisciplinary research experience, including a fellowship in Chemical and Biomolecular Engineering at Georgia Tech (2017-2018), a visiting scientist role at the McGovern Brain Institute at MIT (2022), and a postdoctoral fellowship in Biomedical Engineering at Georgia Tech and Emory University (2019-2024). Her research is currently supported by a NIH BRAIN K99/R00 award.
Our research lies in the intersection of data science and neuroscience. We are dedicated to developing novel data science approaches to uncover brain function, neurological disorders, and other biological processes. Using multimodal functional neuroimaging data (e.g., fMRI-BOLD, LFP, optical imaging, MEG) from animals, healthy humans, and patients, we decode complex brain processes and diseases, offering innovative insights for fundamental and translational brain science.
Research Methods
- Computational Modeling
- Deep/Statistical/Machine Learning
- Scientific Computing
- Dynamical Systems Analysis
- Neuroimaging
Research Interests
- Computational Neuroscience
- Algorithms
- Imaging
- Functional Brain Dynamics