Mary Regina Boland

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Welcome to my homepage. I have worked in the informatics field for almost 7 years now, and it has been an exciting journey!  
Currently, I am a second-year PhD student at the Department of Biomedical Informatics, Columbia University
My research adviser is Dr. Nicholas Tatonetti.
Formerly, I was a Research Staff Officer in the Department of Biomedical Informatics, Columbia University Medical Center

Recent News:
Are All Vaccines Created Equal? Using Electronic Health Records to Discover Vaccines Associated With Clinician-Coded Adverse Events. Accepted for presentation at AMIA's Summit on Translational Science Proceedings from March 23-27, 2015 in San Francisco, CA, USA. 

Other News:
Can Big Data Tell Us What Clinical Trials Don't - New York Times
By Veronique Greenwood 
"In the Northern Hemisphere, people with multiple sclerosis tend to be born in the spring, while in the Southern Hemisphere they tend to be born in November... There are numerous correlations like this, and the reasons for them are still foggy — a problem Tatonetti and a graduate assistant, Mary Boland, hope to solve by parsing the data on a vast array of outside factors. Tatonetti describes it as a quest to figure out “how these diseases could be dependent on birth month in a way that’s not just astrology.” Read More

CAESAR: a Classification Approach for Extracting Severity Automatically from Electronic Health Records Presented at ISMB's Phenotype Day 2014 in Boston, MA on July 12, 2014!!! [Link]  Schedule of Presentations: [Link]

My Journal of Clinical Periodontology Paper listed in the 2013 AMIA Annual Year in Review as Top Paper in the "Practice of Informatics"!!! [Link]

Co-author on a finalist paper for the AMIA 2013 student paper competition!!! (S07 Design and Evaluation of a Bacterial Clinical Infectious Diseases Ontology) [Link]

Education:
PhD Biomedical Informatics, Ongoing Columbia University, 2013-Present
MA Biomedical Informatics, 2012 Columbia University, 2010-2012
BS Bioinformatics, 2010 Saint Vincent College, 2006-2010
Minors: Computer Science, History

My Vision of Translational Informatics:
In the realm of Translational Informatics, I am interested in understanding the etiology and pathology of chronic and complex diseases, e.g., Alzheimer's, Diabetes and Heart Disease, through the application of informatics data mining techniques. As lead author, I developed a high-throughput association method for dental and medical conditions using linked record systems at Columbia University. The goal of this research is to enhance our understanding of the relationships between diseases from across these seemingly disparate domains. Ultimately, I am interested in linking these epidemiological-style studies back to the underlying genetic pathways that contribute to systemic disease. More information can be gleaned by combining clinical and genetic data sources than analyzing one data source separately particularly when trying to understand systemic disease etiology. 

To read about my work please select one of the links below or at the top of the page.