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Dr. Nan Xu is a computational scientist with interdisciplinary research training. Her research lies in the intersection of statistical signal processing, machine learning, neuroscience, and broad biomedical applications. Since her Ph.D. study, Nan has been developing machine learning models and analysis techniques to investigate model-based inference in biological data. Her recent efforts focus on the study of spatiotemporal brain dynamics supported by spontaneous fluctuations in blood oxygenation level-dependent (BOLD) signals, which are measured by functional magnetic resonance imaging (fMRI).

Educations

Cornell University

2011-17 Ph.D., Electrical and Computer Engineering

- - Minor in Applied Mathematics
  - Minor in Cognitive Neuroscience

2011-15 M.S., Electrical and Computer Engineering

University of Rochester

2007-11 B.S., Electrical and Computer Engineering,

2007-11 B.A., Mathematics

- - - Minor in Music

Selected awards & honors

2023-27 NIH BRAIN K99/R00 Pathway to Independence Award

2020 OHBM Annual Meeting Oral Presentation - Selected 4.5% OHBM abstracts

2016 EMBS Student Paper Competition Finalist - Top 0.4% EMBS conference proceedings

2016 Travel Award, IEEE International Conference of EMBS

2016 Conference and Research Travel Grant, Cornell University

2015 "Top 10%" Paper Recognition, IEEE International Conference on Image Processing

2011-12 Goldman Sachs & Co. Scholarship - Top 0.15% applicants in America

2012 Edgar Maeyer Fellowship, Cornell University

2011 John M. Olin Fellowship, Cornell University

2011 ECE Faculty Award, University of Rochester - most accomplished ECE student(s)

2010 Deans' Prizes, Undergraduate Research Symposium, University of Rochester

2009 Distributed REU Award, Computing Research Association - Top 15% applicants in America, funded summer research at Brown University

2009 First Place, Concerto Competition, University of Rochester

2011- Phi Beta Kappa Honor Society

2009- Tau Beta Pi Honor Society