Yauhen Statsenko is an associate professor of radiology with the College of Medicine and Health Sciences, at United Arab Emirates University. His technical background as an IT developer helps him implement data analysis in medical studies and supervise studies in bioinformatics. He uses machine learning to analyze neuroimages and clinical data. His current research interests include the mathematical modeling of aging, the regeneration process, the early diagnostic methods of maladjustment, and the prediction and treatment of overtraining in sports. Dr. Statsenko conducts cross-disciplinary studies that cover multiple research topics. He has put together a research team whose primary interest is normal brain aging and cognitive decline. The team developed new indices reflecting cognitive functioning and the proportionality of age-related changes in cognitive domains throughout life. This improves the diagnostics of age-related cognitive functions. The knowledge of how brain atrophy is linked with cognitive decline allowed Dr. Statsenko to propose diagnostic models based on the pattern of structure-function associations specific to normal aging, mild cognitive impairment, and Alzheimer’s dementia. His work led to the design of new markers of neurodegeneration. Building models of disease occurrence, course, and outcomes is another field of study of Dr. Statsenko. With these models, the research team assesses the impact of environment, modifiable, and nonmodifiable risk factors.