I am a passionate interdisciplinary researcher and am specialized in the interconnection between public health, injury, epidemiology, and machine learning. My research primarily focuses on the design and application of computational methods that inform health decisions for trauma patients.

My research priorities are informed by a unique blend of research and clinical expertise, gained through 8 years of professional experience in trauma research. My experience encompasses the analysis of experimental and epidemiologic data from trauma patients, development of risk prediction models for screening, and contribution to injury surveillance efforts at national and provincial levels.
 
I am an interdisciplinary PhD Candidate within the Faculty of Medicine (Department of Surgery), Faculty of Computer Science, and Department of Community Health & Epidemiology at Dalhousie University in Halifax, Nova Scotia. I work under the advisement of Dr. Raza Abidi (NICHE Research Group) and Dr. Cindy Feng.

I currently serve as a Clinical Performance Consultant within Performance & Analytics at Nova Scotia Health.

As a Neurotrauma Researcher and Data Analyst, I am involved in several injury projects.

Studies within my dissertation serve an overarching research theme: generating real-world evidence to support risk stratification of  traumatic brain injury (TBI). 

Under this overarching theme, my research examines three broad areas: 
(1) Geospatial TBI surveillance– the examination of spatial and socioeconomic risks of TBI.
(2) Health services research – the epidemiology, analysis, and prediction of mental health service utilization among TBI patients.
(3) Clinical phenotyping – the identification of TBI sub-populations for the purpose of risk stratification of injury outcomes. 

PhD in progress (Dalhousie University)
Biostatistics Certificate (University of California, San Diego)
Master of Health Informatics (Dalhousie University)
Bachelor of Medicine and Surgery (FJ Medical College)