Home
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 Epilepsy Society (AES), 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
News
12/2019: Patient diaries reveal propensity for epileptic seizures
6/2019: Talk on Hidden in Plain Sight: Revealing Seizure Risk with Seizure Diaries, 33rd International Epilepsy Congress, Bangkok, Thailand
6/2019: Interview on Usefulness of Seizure Diaries with Epilepsy with Neurology Live
6/2019: Interview with Harvard University NLM testimonial video
5/2019: Epilepsy Foundation Shark Tank finalist
4/2019: Interview with Epilepsia Open
3/2019: Paper on Epilepsy as a Dynamic Disease receives 2019 Epilepsia Open Prize in Clinical Science
12/2017: Pre-surgical imaging may predict whether epilepsy surgery will work
06/2017: Invited speaker on Recent Advances in Spatiotemporal Modeling of High-Dimensional Data, 2017 WNAR Meeting, Santa Fe, NM
03/2017: Statistics method shows brain networks differ in epilepsy
04/2016: INS Data Blitz on Time-Dependence of Graph Theory Metrics in Functional Connectivity Analysis, AAN 68th Annual Meeting, Vancouver, BC, Canada
09/2015: Invited speaker on Bayesian Model for Functional MRI Biomarker Identification, National Library of Medicine Board of Regents Meeting, Bethesda, MD
06/2015: Awarded top plenary presentation award, National Library of Medicine Informatics Training Conference, Bethesda, MD
05/2014: Platform presentation on Graph Theory-Based Functional Connectivity in Lateralized Temporal Lobe Epilepsy, AAN 66th Annual Meeting, Philadelphia, PA