Faculty Directory

Xu, Nan

Xu, Nan

Assistant Professor
Fischell Department of Bioengineering
Electrical and Computer Engineering
Brain and Behavior Institute
3218 A. James Clark Hall
Website(s):

Dr. Nan Xu is an Assistant Professor in the ​Fischell Department of Bioengineering and the Brain and Behavior Institute at the University of Maryland, College Park, with affliate appointments in the Department of Electrical & Computer Engineering and the Edward and Jennifer St. John Center for Translational Engineering and Medicine, and graduate program affliations in the Neuroscience & Cognitive Science (NACS), Biophysics, and Applied Mathematics & Statistics, and Scientific Computation (AMSC). She leads the Imaging- and Neuro-computations for Precision Informatics Research (INSPIRE) Lab. 

Education

  • Ph.D., Electrical and Computer Engineering, Cornell University, 2017  - Minors: Applied Mathematics and Cognitive Neuroscience
  • B.S., Electrical and Computer Engineering, University of Rochester, 2011
  • B.A., Mathematics, University of Rochester, 2011 - Minor: Music

Professional Training

  • Postdoctoral Fellow, Biomedical Engineering, Georgia Tech and Emory University, 2019–2024
  • Visiting Scientist, McGovern Institute for Brain Research at MIT, 2022
  • Postdoctoral Fellow, Chemical and Biomolecular Engineering, Georgia Tech, 2017–2018

Professional Memberships

  • Organization for Human Brain Mapping (OHBM)
  • Institute of Electrical and Electronics Engineers (IEEE)
  • Society for Neuroscience (SfN)

Selected Honors and Awards

  • NIH BRAIN Initiative K99/R00 Pathway to Independence Award, 2023
  • Sigma Xi Scientific Research Honor Society, 2026
  • EMBS Student Paper Competition Finalist, 2016
  • “Top 10%” Paper Recognition, IEEE International Conference on Image Processing, 2015
  • Goldman Sachs & Co. Scholarship, 2011–2012
  • ECE Faculty Award, University of Rochester, 2011
  • Phi Beta Kappa, 2011

    • BIOE689N/NACS728Z: Network Neuroscience and Brain Dynamic Analysis.
    • BIOE241: Biocomputational Methods. 

     

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