Ph.D., Massachusetts Institute of Technology
My primary research interests lie at the intersection of machine learning and medicine. I especially enjoy solving the technical challenges that arise when considering the practical application of machine learning in clinical settings. Currently, I'm focused on developing accurate patient risk stratification approaches that leverage data across time and space, with the ultimate goal of reducing the rate of healthcare-associated infections among patients admitted to hospitals in the US.
Learning Data-Driven Patient Risk Stratification Models for Clostridium difficile, Jenna Wiens et al., Open Forum Infectious Diseases, July 2014.
Automatically Recognizing On-Ball Screens, Jenna Wiens et al., Sloan Sports Analytics Conference, Feb 2014.
A Study in Transfer Learning: Leveraging Data from Multiple Hospitals to Enhance Hospital-Specific Predictions, Jenna Wiens et al., Journal of the American Medical Informatics Association, Jan 2014.
To Crash or Not to Crash: A quantitative look a the relationship between offensive rebounding and transition defense in the NBA, Jenna Wiens et al., Sloan Sports Analytics Conference, March 2013.
Patient Risk Stratification for Hospital-Associated C. diff as a Time-Series Classification Task, Jenna Wiens et al., Neural Information Processing Systems (NIPS), Dec 2012.
Learning Evolving Patient Risk Processes for C. diff Colonization, Jenna Wiens et al., ICML Workshop on Clinical Data Analysis, June 2012.
On the Promise of Topic Models for Abstracting Complex Medical Data: A Study of Patients and their Medications, Jenna Wiens et al., NIPS Workshop on Personalized Medicine, December 2011.
Patient-Specific Ventricular Beat Classification without Patient-Specific Expert Knowledge: A Transfer Learning Approach, Jenna Wiens and John Guttag, IEEE EMBS Conference, September 2011.
Active Learning Applied to Patient-Adaptive Heartbeat Classification, Jenna Wiens and John Guttag, Neural Information Processing Systems (NIPS), December 2010.
Machine Learning for Ectopic Beat Classification, Jenna Wiens. Master's thesis, MIT, May 2010.
Patient-Adaptive Ectopic Beat Classification using Active Learning. , Jenna Wiens and John Guttag, Computing in Cardiology (CinC) September 2010.