Lecturer, Masters Program in Computer Science
Anoop has expertise in computer programming, statistics, and machine learning. He received his PhD in Bioinformatics with a Minor in Statistics from Indiana University in 2013. Since coming to the University of Chicago in 2013, he has focused his attention on healthcare analytics, specifically using large clinical data sets to understand and predict hospital events. He recently led the analysis of a large data set of 80,000 hospital admissions and developed a model that predicts an increase in risk for patients exposed to the adverse events of other patients. At the CRI, he oversees projects involving modeling and analysis of clinical data. He is also a Lecturer in the Graham School MSc in Biomedical Informatics program, where he teaches Applied Clinical/Research Informatics.
ACTIVITIES / INTERESTS
Statistics, Machine Learning, Algorithms, Data-Analytics