Dr. Aurel Cami, PhD

Aurel.Cami AT childrens.harvard.edu

Dr. Aurel Cami is a member of the faculty at Harvard Medical School and the Children's Hospital Boston Informatics Program. His work focuses on developing advanced mathematical models to address important public health challenges, from pandemic tracking to drug safety and predictive medicine.

He has developed novel approaches for predicting unknown adverse drug events and drug-drug interactions years in advance, developed predictive models of readmission of Heart Failure patients, and integrated population mobility into a system for detecting bioterrorist attacks.

Dr. Cami received his Ph.D. from UCF and completed his postdoctoral training as an NIH Fellow in Biomedical Informatics at both the University of Pittsburgh and Harvard Medical School.

Selected Publications

Cami A, Arnold A, Manzi S, Reis B. Predicting adverse drug events using pharmacological network models. Sci Transl Med. 2011 Dec 21;3(114):114ra127.

Watson AJ, O'Rourke J, Jethwani K, Cami A, Stern TA, Kvedar JC, Chueh HC, Zai AH. Linking electronic health record-extracted psychosocial data in real-time to risk of readmission for heart failure. Psychosomatics. 2011 Jul-Aug;52(4):319-27.

Cami A, Wallstrom GL, Hogan WR. Measuring the effect of commuting on the performance of the Bayesian Aerosol Release Detector. BMC Med Inform Decis Mak. 2009 Nov 3;9 Suppl 1:S7.

Cami A, Wallstrom GL, Fowlkes AL, Panozzo CA, Hogan WR. Mining aggregates of over-the-counter products for syndromic surveillance. Pattern Recognit Lett. 2009 Feb 1;30(3):255-266.

N. Deo and A. Cami. Preferential Deletion in Dynamic Models of Web-like Networks. Information Processing Letters, vol. 102, nr.4, pp. 156-162, 2007.

A. Cami, H. Balakrishnan, N. Deo, R. Dutton. On the Complexity of Finding Optimal Global Alliances. Journ. Comb. Math. Comb. Comp. vol. 58, pp. 25-31, 2006.

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