Research Activities:

Specifically, I am dedicated to developing new statistical and computational methodologies for analyzing large-scale, complex-structured medical imaging data. See the website for more details. This involves the examination of various neuroimaging datasets, including spatial-temporal functional Magnetic Resonance Imaging (fMRI), Diffusion Tensor Imaging (DTI) data, multiple neuron spike trains (sequences of action potentials generated by neurons), multi-channel EEG (electroencephalogram) recordings, and data from the Alzheimer's Disease Neuroimaging Initiative (ADNI). As a statistician, I actively engage in interdisciplinary research, collaborating with faculty members, research scientists, and students across diverse fields such as neuroscience, psychology, computer science, engineering, physics, and radiology.

Selected Publications:

 Spatial-temporal functional Magnetic Resonance Imaging (fMRI):

    

 Diffusion Tensor Imaging (DTI) data:

    

 Multiple neuron spike trains (sequences of action potentials generated by neurons):

    

 Multi-channel EEG (electroencephalogram) recordings:

    

 Alzheimer's Disease Neuroimaging Initiative (ADNI) study:

 Detection of spatial signal from general imaging data:

Funding:

The research is supported by the U.S. National Science Foundation (NSF), the Wisconsin Alumni Research Foundation (WARF), and the Association for Women in Mathematics (AWM).

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