Susanne Churchill
Susanne E. Churchill, Ph.D.
Executive Director, DBMI
Instructor in Medicine, Brigham and Women's Hospital
10 Shattuck St Boston MA 02115

Susanne Churchill received her PhD from Boston University School of Medicine and did her postdoctoral training at Harvard Medical School in the field of cardiovascular and renal physiology, progressing to instructor and lecturer. She co-founded the Institute for Circadian Physiology in Boston, where she served as chief operating officer while continuing her research in space medicine and teaching. She returned full time to HMS to serve as director of sponsored programs administration and subsequently was appointed associate dean for research. Churchill next joined forces with Isaac Kohane to lead the successful Informatics for Integrating Biology and the Bedside (i2b2) National Center for Biomedical Computing at Partners HealthCare as its executive director and principle investigator of the educational core. She joined DBMI in 2015 as executive director of the department, executive director of the Big Data to Knowledge (BD2K) Center of Excellence, executive director of the N-GRID (neuropsychiatric genome-scale and RDoC-Individualized domains) Center of Excellence in Genome Science and program director for the long-running Summer Institute in Biomedical Informatics (SIBMI). Churchill is also an instructor in the Channing Division of Network Medicine at Brigham and Women’s Hospital.

Toward high-throughput phenotyping: unbiased automated feature extraction and selection from knowledge sources.
Authors: Yu S, Liao KP, Shaw SY, Gainer VS, Churchill SE, Szolovits P, Murphy SN, Kohane IS, Cai T.
J Am Med Inform Assoc
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Prenatal antidepressant exposure is associated with risk for attention-deficit hyperactivity disorder but not autism spectrum disorder in a large health system.
Authors: Clements CC, Castro VM, Blumenthal SR, Rosenfield HR, Murphy SN, Fava M, Erb JL, Churchill SE, Kaimal AJ, Doyle AE, Robinson EB, Smoller JW, Kohane IS, Perlis RH.
Mol Psychiatry
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Diabetes and the risk of infections with immunomodulator therapy in inflammatory bowel diseases.
Authors: Ananthakrishnan AN, Cagan A, Cai T, Gainer VS, Shaw SY, Churchill S, Karlson EW, Murphy SN, Kohane I, Liao KP.
Aliment Pharmacol Ther
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Development of phenotype algorithms using electronic medical records and incorporating natural language processing.
Authors: Liao KP, Cai T, Savova GK, Murphy SN, Karlson EW, Ananthakrishnan AN, Gainer VS, Shaw SY, Xia Z, Szolovits P, Churchill S, Kohane I.
BMJ
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Validation of electronic health record phenotyping of bipolar disorder cases and controls.
Authors: Castro VM, Minnier J, Murphy SN, Kohane I, Churchill SE, Gainer V, Cai T, Hoffnagle AG, Dai Y, Block S, Weill SR, Nadal-Vicens M, Pollastri AR, Rosenquist JN, Goryachev S, Ongur D, Sklar P, Perlis RH, Smoller JW.
Am J Psychiatry
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Colonoscopy is associated with a reduced risk for colon cancer and mortality in patients with inflammatory bowel diseases.
Authors: Ananthakrishnan AN, Cagan A, Cai T, Gainer VS, Shaw SY, Churchill S, Karlson EW, Murphy SN, Kohane I, Liao KP.
Clin Gastroenterol Hepatol
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Mode of childbirth and long-term outcomes in women with inflammatory bowel diseases.
Authors: Ananthakrishnan AN, Cheng A, Cagan A, Cai T, Gainer VS, Shaw SY, Churchill S, Karlson EW, Murphy SN, Kohane I, Liao KP.
Dig Dis Sci
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Methods to Develop an Electronic Medical Record Phenotype Algorithm to Compare the Risk of Coronary Artery Disease across 3 Chronic Disease Cohorts.
Authors: Liao KP, Ananthakrishnan AN, Kumar V, Xia Z, Cagan A, Gainer VS, Goryachev S, Chen P, Savova GK, Agniel D, Churchill S, Lee J, Murphy SN, Plenge RM, Szolovits P, Kohane I, Shaw SY, Karlson EW, Cai T.
PLoS One
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Thromboprophylaxis is associated with reduced post-hospitalization venous thromboembolic events in patients with inflammatory bowel diseases.
Authors: Ananthakrishnan AN, Cagan A, Gainer VS, Cheng SC, Cai T, Scoville E, Konijeti GG, Szolovits P, Shaw SY, Churchill S, Karlson EW, Murphy SN, Kohane I, Liao KP.
Clin Gastroenterol Hepatol
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Improving the power of genetic association tests with imperfect phenotype derived from electronic medical records.
Authors: Sinnott JA, Dai W, Liao KP, Shaw SY, Ananthakrishnan AN, Gainer VS, Karlson EW, Churchill S, Szolovits P, Murphy S, Kohane I, Plenge R, Cai T.
Hum Genet
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Position to be filled.