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Tibor V Varga is an Associate Professor at the University of Copenhagen, working mainly in the field of health and medical sciences. He has a solid educational background, earning a BSc in Biology from Eotvos Lorand University in Hungary, an MSc in Nutritional Sciences from Semmelweis University, and a PhD in Genetic Epidemiology from Lund University. His research interests encompass artificial intelligence, machine learning, predictive statistics, and social inequalities including health justice and causal inference. Presently, Varga applies statistical machine-learning techniques to investigate predictive biomarkers for metabolic disease outcomes, focusing on promoting health equity through the use of AI and large-scale data. He is also involved in genetic association studies and exploring gene-environment interactions. Varga’s contributions include numerous publications in the field, and he frequently collaborates with other researchers to enhance understanding of complex health issues. He is commonly engaged in discussions around biostatistics, epidemiology, and fairness in health contexts.
Focuses on clinical, social, and cognitive psychology.