Mary Boland

Mary Boland


Graduate Student

As a PhD student in the laboratory of Dr. Nicholas Tatonetti, I aim to explore and understand the systems-level genetic interactions that occur in patients taking multiple drugs targeting diverse genes and gene pathways. In particular, my focus is to develop methods for understanding the systems-level genetic interactions responsible for adverse drug events. As a translational bioinformatician, I am also interested in developing methods that incorporate not only genetic information, but also epidemiological data obtained via public data sources and electronic health records. By utilizing both genetic and clinical data, my work marries basic science genetic research with clinical epidemiological research.

Before beginning my PhD research studies under Dr. Tatonetti, I worked for three years as a clinical research informatician at Columbia University Medical Center, where my work principally focused on data mining, data integration, user interface design, and usability testing. I also received a Masters of Arts in biomedical informatics during that time. The American Medical Informatics Association recognized my work as one of the top papers in the practice of clinical informatics in 2013. Prior to coming to Columbia University, I received my Bachelor of Science in bioinformatics at Saint Vincent College, Latrobe, PA, where my work focused on functional genomic alignment of evolutionarily diverse organisms. I was also granted the Departmental Award for Excellence in Bioinformatics.

Education History

MA, Columbia University
Biomedical Informatics

BS, Saint Vincent College


* indicates equal author contributions

Boland MR, Karczewski KJ, Tatonetti NP. Ten simple rules to enable multi-site collaborations through data sharing. PLoS Comput Biol. 2017 Jan 19;13(1):e1005278.

Li L, Boland MR, Miotto R, Tatonetti NP, Dudley JT. Replicating cardiovascular condition-birth month associations. Sci Rep. 2016 Sep 14;6:33166.

Roberts K, Boland MR, Pruinelli L, Dcruz J, Berry A, Georgsson M, Hazen R, Sarmiento RF, Backonja U, Yu KH, Jiang Y, Brennan PF. Biomedical informatics advancing the national health agenda: the AMIA 2015 year-in-review in clinical and consumer informatics. J Am Med Inform Assoc. 2016 Aug 7.

Boland MR, Tatonetti NP. Investigation of 7-dehydrocholesterol reductase pathway to elucidate off-target prenatal effects of pharmaceuticals: a systematic review. Pharmacogenomics J. 2016 Jul 12.

Gayvert KM, Dardenne E, Cheung C, Boland MR, Lorberbaum T, Wanjala J, Chen Y, Rubin MA, Tatonetti NP, Rickman DS, Elemento O. A computational drug repositioning approach for targeting oncogenic transcription factors. Cell Rep. 2016 Jun 14;15(11):2348-56.

Nissim N, Boland MR, Tatonetti NP, Elovici Y, Hripcsak G, Shahar Y, Moskovitch R. Improving condition severity classification with an efficient active learning based framework. J Biomed Inform. 2016 Mar 22. pii: S1532-0464(16)30007-7.

BA Kidd, Wroblewska A, Boland MR, Agudo J, Merad M, Tatonetti NP, Brown BD, Dudley JT. Mapping the effects of drugs on the immune system. Nat Biotechnol. 2016;34(1):47-54.

Boland MR *, Jacunski A*, Lorberbaum T*, Romano JD, Moskovitch R, Tatonetti NP. Systems biology approaches for identifying and understanding adverse drug events. Wiley Interdiscip Rev Syst Biol Med. 2015 Nov 12.

Oellrich A, Collier N, Groza T, Rebholz-Schuhmann D, Shah N, Bodenreider O, Boland MR, Georgiev I, Liu H, Livingston K, Luna A, Mallon AM, Manda P, Robinson PN, Rustici G, Simon M, Wang L, Winnenburg R, Dumontier M. The digital revolution in phenotyping. Brief Bioinform. 2015 Sep 29. pii: bbv083.

Boland MR, Shahn Z, Madigan D, Hripcsak G, Tatonetti NP. Birth month affects lifetime disease risk: a phenome-wide method. J Am Med Inform Assoc. 2015 Jun 2. pii: ocv046.

Boland MR, Tatonetti NP, Hripcsak G. Development and validation of a classification approach for extracting severity automatically from electronic health records. J Biomed Semantics. 2015 Apr 6;6:14.

Boland MR, Tatonetti NP, Hripcsak G. CAESAR: a Classification Approach for Extracting Severity Automatically from Electronic Health Records. Intelligent Systems for Molecular Biology Phenotype Day. 2014; Boston, MA. (In Press).

Weng C, Boland MR, So Y, Rusanov A, Lopez-Jiminez C, Steinman R, Busacca L, Bakken S, Bigger JT. Using software to elicit user needs for clinical research visit scheduling. AMIA Summits on Translational Science Proceedings. 2014; San Francisco, CA.

Hao T, Rusanov A, Boland MR, Weng C. Clustering clinical trials with similar eligibility criteria features. J Biomed Inform. 2014 Dec;52:112-20.

Boland MR , Rusanov A, So Y, Lopez-Jimenez C, Busacca L, Steinman RC, Bakken S, Bigger JT, Weng C. From expert-derived user needs to user-perceived ease of use and usefulness: A two-phase mixed-methods evaluation framework. J Biomed Inform. 2014 Dec;52:141-50.

Gordon CL, Pouch S, Cowell LG, Boland MR, Platt HL, Goldfain A, Weng C. Design and evaluation of a bacterial clinical infectious diseases ontology. AMIA Annu Symp Proc. 2013 Nov 16;2013:502-11.

Weng C, Li Y, Berhe S, Boland MR, Gao J, Hruby GW, Steinman RC, Lopez-Jimenez C, Busacca L, Hripcsak G, Bakken S, Bigger JT. An Integrated Model for Patient Care and Clinical Trials (IMPACT) to support clinical research visit scheduling workflow for future learning health systems. J Biomed Inform. 2013 Aug;46(4):642-52.

Boland MR, Miotto R, Gao J, Weng C. Feasibility of feature-based indexing, clustering, and search of clinical trials: a case study of breast cancer trials from Methods Inf Med. 2013;52(5):382-94.

Boland MR, Hripcsak G, Albers DJ, Wei Y, Wilcox AB, Wei J, Li J, Lin S, Breene M, Myers R, Zimmerman J, Papapanou PN, Weng C. Discovering medical conditions associated with periodontitis using linked electronic health records. J Clin Periodontol. 2013 May;40(5):474-82.

Boland MR, Hripcsak G, Shen Y, Chung WK, Weng C. Defining a comprehensive verotype using electronic health records for personalized medicine. J Am Med Inform Assoc. 2013 Dec;20(e2):e232-8.

Boland MR, Miotto R, Weng C. A method for probing disease relatedness using common clinical eligibility criteria. Stud Health Technol Inform. 2013;192:481-5.

Hruby G, Boland MR, Cimino JJ, Gao J, Wilcox AB, Hirschberg J, Weng C. Characterizing research data query mediation at a urology department. AMIA Summits on Translational Science Proceedings 2013: 89-93.

Boland MR, Trembowelski S, Bakken S, Weng C. An initial log analysis of usage patterns on a research networking system. Clin Transl Sci. 2012 Aug;5(4):340-7.

Boland MR, Tu SW, Carini S, Sim I, Weng C. EliXR-TIME: A temporal knowledge representation for clinical research eligibility criteria. AMIA Jt Summits Transl Sci Proc. 2012;2012:71-80.

Weng C, Wu X, Luo Z, Boland MR, Theodoratos D, Johnson SB. EliXR: An approach to eligibility criteria extraction and representation. J Am Med Inform Assoc. 2011 Dec;18 Suppl 1:i116-24.