Tibor V Varga
Associate Professor
Section of Epidemiology
Bartholinsgade 6Q, 2. sal
1356 København K
Primary fields of research
artificial intelligence, machine learning, predictive statistics, social inequalities, health justice, causal inference, biomarkers.
Fields of interest
Key interests
- Artificial Intelligence, Machine learning
- Algorithmic Fairness
- Predictive statistics
- Health equality, health equity, health justice
Brief CV
Tibor obtained his BSc in Biology (2009, ELTE, Hungary), MSc in Nutritional Sciences (2013, Semmelweis University, Hungary), and PhD in Genetic Epidemiology (2016, Lund University, Sweden) and is currently working as an Associate Professor at the University of Copenhagen.
During his PhD, postdoc, and Assistant Professorship, Tibor worked primarily with metabolic diseases, cardiovascular genetics, genetic association studies, gene x environment interactions, and prospective omics analyses. He used various statistical and machine-learning techniques to gain information on associations and predictive biomarkers for various metabolic disease outcomes.
In his current Associate Professorship, Tibor is working on how to use AI on prospective, life-course big data to promote health equity.
ID: 241428512
Most downloads
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311
downloads
‘Standing together – at a distance’: Documenting changes in mental-health indicators in Denmark during the COVID-19 pandemic
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
303
downloads
Systematic Evaluation of Pleiotropy Identifies 6 Further Loci Associated With Coronary Artery Disease
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
156
downloads
Exome-wide association study of plasma lipids in >300,000 individuals
Research output: Contribution to journal › Letter › Research › peer-review
Published