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I am a resident physician in the University of California, San Francisco (UCSF) Department of Neurology. I received my Ph.D. in the Rice University Department of Statistics under Dr. Marina Vannucci and Dr. Michele Guindani and my M.D. at Baylor College of Medicine. I work on the development of Bayesian statistical methods for multimodal neuroimaging and count data to improve individualized prediction accuracy for people with epilepsy and other neurological disorders, as well as applied research in functional and structural connectivity to identify imaging markers for diagnosis and characterizing disease burden.

I am currently a member of the American Statistical Association (ASA), American Academy of Neurology (AAN), American Neurological Association (ANA), and International Society for Magnetic Resonance in Medicine (ISMRM).


My methodological research interests are in:

  • Bayesian statistics
  • Neuroimaging and computational neuroscience
  • Methods for analysis of high-dimensional neuroimaging data, including fMRI, DTI, and PET
  • Clustering algorithms
  • Integrative statistical methods for combining data from multiple imaging modalities
  • Functional and effective network connectivity inference
  • Spatiotemporal data
  • Count data

My clinical research interests are in:

  • Epilepsy
  • Neurology
  • Neuroimaging

Education and Training

2018-2022 Resident Physician, University of California, San Francisco

2018 MD, Baylor College of Medicine

2016 PhD, Statistics, Rice University

2015 MA, Statistics, Rice University

2009 BA, Statistics, Cum Laude, Rice University

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