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i am an applied statistician who studies statistical network theory and phd candidate at unc-chapel hill working primarily with professors shankar bhamidi, andrew nobel, nikhil kaza (unc city and regional planning) and more recently with professors jason xu (duke statistical science) and rose mary xavier (unc school of nursing). i develop methodologies for different modes of community detection on different types of weighted networks. i apply these methods to data from domains such as geography, psychiatry, neuroimaging, genomics, and climatology.
i am interested in applying network methods to data from different domains, with the primary goal of detecting patterns arising from relational structures. i am interested in networks with irregular and multimodal structures that can represent an array of different settings reflecting the multitudinous roles of and relationships between objects in the real world. i am also interested in the mechanics of computation for these models, namely in variational inference and iterative testing for null models.
much of my methodological research can find usage in the clinical domain for the detection and treatment of psychiatric and neurodegenerative diseases, namely alzheimers' disease and schizophrenia.
feel free to email me at markhe 'at' live.unc.edu to inquire more. links to some of the papers below are listed in the 'papers i've written' tab.
here is my google scholar (with a picture of my face):
papers i've written:
in preparation:
in preparation:
He, M., D. Lu, R. Xavier. “Jointly Modeling Schizophrenia Neurobiology using Genomic, Neuroimaging, and Psychopathological Networks”
publications and preprints:
publications and preprints:
He, M., D. Lu, J. Xu, R. Xavier. ``Community Detection in Weighted Multilayer Networks with Ambient Noise". arXiv Preprint: 2103.00486. https://arxiv.org/pdf/2103.00486.pdf
Dewaskar,M., J. Palowitch, M. He , M. Love , A. Nobel (2020). ``Finding Stable Groups of Cross-Correlated Features in Multi-View Data", arXiv Preprint: 2009.05079. https://arxiv.org/pdf/2009.05079.pdf
He, M., J. Glasser, S. Bhamidi, N. Kaza. ``Intertemporal Community Detection in Human Mobility Networks'' (2020), arXiv Preprint: 1906.04582. https://arxiv.org/pdf/1906.04582.pdf
He, M., J. Glasser, N. Pritchard, S. Bhamidi, N. Kaza (2020). ``Demarcating Geographic Regions Using Community Detection in Commuting Networks with significant self-loops", PLOS ONE 15(4): e0230941. https://doi.org/10.1371/journal.pone.0230941
He, M., Baker, S., V. Shah, S. Lockhart, W. Jagust (2019) ``Scan-time Corrections for 80-100 Minute Standardized Uptake Volume Ratios to Measure the 18-F-AV-1451 Tracer for Tau Imaging'', IEEE Transactions on Medical Imaging. 38(3), 697-709. https://doi.org/10.1109/TMI.2018.2870441
Baker, S., S. Lockhart, J. Price., M. He, R. Huesman, D. Schonhaut, J. Faria, G. Rabinovici,, W. Jagust (2017). ``Reference Tissue-Based Kinetic Evaluation of 18-F-AV-1451 in Aging and Dementia.'' Journal of Nuclear Medicine. jnumed.116.175273 published ahead of print September 1, 2016.
Baker, Suzanne, M. He, R. Boutchko, W. Jagust (2016). ``Applying Clustering-Initiated Factor Analysis to Tissue Classification in AV-1451 Tau PET Imaging." Journal of Nuclear Medicine. 57.supplement 2: 41-41.
in the press:
in the press:
for my resume, please check out the 'resume' section of my website:
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