Karypis' research interests are concentrated in the areas of data mining, recommender systems, learning analytics, high-performance computing, and chemical informatics and from time-to-time, he looks at various problems in the areas of health informatics, information retrieval, bioinformatics, and scientific computing. Within these areas, his research focuses in developing novel algorithms for solving important existing and/or emerging problems, and on developing practical software tools implementing some of these algorithms. The results from this research have been presented in various conferences and published in leading peer reviewed journals and highly selective conference proceedings.

Research Division
Data Science and Machine Learning

Current Research
Google Scholar
Bioinformatics
Chemical Informatics
Data Mining
Discovery of Patterns in the Global Climate System using Data Mining
Karypis Lab

Ph.D. Graduates
Shalini Pandey (2021); Saurav Manchanda (2020); Agoritsa Polyzou (2020); Sara Morsy (2019); Shaden Smith (2019); Evangelia Christakopoulou (2018); Jeremy Iverson (2017); Mohit Sharma (2017); Asmaa El Badrawy (2017); David Anastasiu (2016); Dominique LaSalle (2015); Santosh Kabbur (2015); Rezwan Ahmed (2014); Chris Kauffman (2013); Zhonghua Jiang (2013); Kevin DeRonne (2013); Xia Ning (2012); Nikil Wale (2008); Huzefa Rangwala (2008); Irina Makarevitch (2005); Ying Zhao (2005; co-advised with David Du); Michihiro Kuramochi (2005); Irene Moulitsas (2005; co-advised with Yousef Saad); Navaratnasothie Selvakumaran (2005); Mukund Deshpande (2003; co-advised with Jaideep Srivastava); William Leinberger (2001; co-advised with Vipin Kumar); Valery Guralnik (2001; with Jaideep Srivastava);  Kirk Schloegel (1999; co-advised with Vipin Kumar).