Introduction
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Current Research Interests
Information retrieval (query log mining, cognitively inspired algorithms, and Bayesian models), artificial intelligence, computational cognitive architectures, and text mining (distributional semantics)
Education
PhD in Biomedical Informatics 2008-Present
Keck Fellow
The University of Texas Health Science Center
School of Biomedical Informatics
MS in Electrical Engineering
The University of Memphis 2007
BS in Computer Engineering
The University of Memphis 2005
Summary
In general, my research interests revolve around the view that informatics is the science of meaningful data, which encompasses knowledge representation and reasoning, data mining, information retrieval, and data visualization all in the support of clinical care.
My current research effort focuses on applying models of human cognition to information retrieval. Currently, I am leveraging ACT-R and the rational analysis of human memory to create a theoretically driven retrieval model and document ranking method for retrieving information using existing biomedical knowledge sources.
Other ongoing work is the development of a multi-agent simulation of emergency care for in-silico testing of information resource interventions and applying theories of human information processing. Currently, it is being used to develop dashboard displays for the emergency department and to test resource allocation strategies.
My previous and primary research as a graduate student at The University of Memphis was developing computational knowledge models for sensors and developing a framework leveraging the computational knowledge model to support dynamic discovery and synchronization of senor services to support high-level user constraints. The research at The University of Memphis was conducted under Dr. David J. Russomanno in the Department of Electrical and Computer Engineering. My long-term goal is to obtain a tenure track position at a research university. I find research a natural choice for my profession due to my drive for learning, yearning to solve problems, and desire to push the envelope of science.