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I am an epileptologist and assistant professor in the University of California, San Francisco (UCSF) Department of Neurology. I received my M.D. at Baylor College of Medicine, completed Neurology residency training at the University of California, San Francisco (UCSF) Department of Neurology, and completed Epilepsy clinical fellowship in the UCSF Epilepsy Division. My Ph.D. is from the Rice University Department of Statistics under Dr. Marina Vannucci and Dr. Michele Guindani, with my post-doctoral training on single unit recording to understand memory changes in epilepsy in Dr. Loren Frank's lab at UCSF. My interests are in cellular circuits of memory and learning in epilepsy, electrical stimulation, seizure risk modeling, and development of Bayesian statistical methods for neuroimaging and count data.
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:
Memory and learning
Hippocampus
Neuromodulation
Seizure risk modeling
Electrical stimulation
Education and Training
2024-2025 Clinical Epilepsy Fellow, University of California, San Francisco
2022-2024 R25 Research Fellow, Frank lab, University of California, San Francisco
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
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