Dr. Wojtusiak, Associate Professor of Health Informatics and Director of the Machine Learning and Inference Laboratory, has research expertise that includes machine learning, health informatics, artificial intelligence in clinical decision support and knowledge discovery in medical data, machine learning, evolutionary computation, intelligent evolutionary design, knowledge mining, health data analytics, and a wide range of applications of these fields in health care. His particular area of interest is in developing algorithms that derive simple and transparent models from complex healthcare data.
Dr. Wojtusiak serves as the Section Chief for Health Informatics in the Department of Health Administration and Policy, and is the primary advisor of PhD, Health Services Research students in the Knowledge Discovery and Health Informatics concentration. He teaches HAP 618 (Computational Methods in Health Informatics), HAP 730 (Healthcare Decision Analysis), HAP 752 (Advanced Health Information Systems), and HAP 780 (Healthcare Data Mining) at the graduate level.
He authored or co-authored over 70 research publications and presentations and continues to collaborate with multiple national and international institutions including University of Louisville, University of Bremen, Germany, and AGH University of Science and Technology. In 2007, he was a fellow of Hanse-Wissenschaftskolleg (Hanse Institute for Advanced Study), Germany and was a post-doctoral fellow at Mason after completing his Ph.D.
- PhD, Computational Sciences and Informatics, George Mason University, 2007
- MS, Computer Science, Jagiellonian University, Krakow, Poland, 2001