Mary Regina Boland

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Welcome to my homepage. I have worked in the biomedical informatics field for 9 years now, and it has been an exciting journey!  
I just graduated with a PhD the Department of Biomedical Informatics, Columbia UniversityMy research adviser is Dr. Nicholas Tatonetti.

Formerly (2010-2013), I worked as a Researcher in various capacities at the Department of Biomedical Informatics, Columbia University Medical Center

My paper exploring the relationship between birth month and disease risk published in the Journal of the American Medical Informatics Association has been covered by multiple news outlets, including Cosmopolitan and the Washington Post! According to Altmetric, my paper is the most talked about on social media of any JAMIA article ever published!!!
See the full coverage via the CUMC Newsroom.  I was declared Scientist of the Week for this work.

1st Place Winner of the Student Paper Competition at AMIA's Summit on Translational Science Proceedings!!
       MR Boland, NP Tatonetti. Are All Vaccines Created Equal? Using Electronic Health Records to Discover Vaccines Associated With   
       Clinician-Coded Adverse Events. AMIA Joint Summits on Translational Science Proceedings. March 23-27, 2015 in San Francisco, CA, 

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

PhD Biomedical Informatics, Ongoing Columbia University, 2013-2017
MPhil Biomedical informatics, 2016 Columbia University.
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. 

Links to My Work: