Areas of Interest
Mild traumatic brain injury (mTBI) is a major cause of morbidity in the United States. The pathophysiology of mTBI is multifactorial and heterogeneous and while the majority of patients recover completely, a portion still experience persistent post-concussive symptoms beyond 1- month post-injury. Currently, the development of accurate prediction models for patients with mTBI remains an unmet clinical challenge and novel solutions are urgently needed as existing models for mTBI have performed unsatisfactorily thus far. My research interests involve the development of a time-dependent prognostic model for predicting TBI outcome and a dynamic prognostic model that provides updated prognosis based on time-dependent biomarker data. The ultimate goal of this research is to utilize and leverage novel computational methods to improve the recovery trajectory of patients with TBI.
- B.A., Johns Hopkins University (Public Health)
- M.S., Johns Hopkins University (Biochemistry & Molecular Biology)