Baris Gencer

Baris Gencer is an Associate Professor at the Faculty of Biology and Medicine of the University of Lausanne (UNIL) and an assistant physician in the Cardiology Department at CHUV, where he leads the preventive cardiology and research sector. His work focuses on improving cardiovascular outcomes through evidence-based prevention strategies, particularly after myocardial infarction.

His research centers on preventive cardiology, with emphasis on secondary prevention post-infarction. Key interests include the efficacy and safety of lipid-lowering and antithrombotic drugs, evaluation of novel biomarkers, and lifestyle factors such as alcohol consumption, sleep, nutrition, and physical activity. He is pioneering precision cardiology approaches by integrating artificial intelligence, polygenic risk scores, and gut microbiota analysis to refine cardiovascular risk prediction.

The recent publications highlight a consistent research trajectory in cardiovascular prevention, particularly in pharmacological interventions (beta-blockers, statins, omega-3), biomarker discovery (TMAO, testosterone), and lifestyle impacts (alcohol, diet). These studies employ robust methodologies including meta-analyses, real-world cohort emulations, and nested case-control designs, often leveraging large clinical trials like PEGASUS-TIMI 54.

No scientific awards are mentioned in the provided text.

Baris Gencer has been involved in clinical and research leadership, including leading an SNSF-funded multicenter trial on alcohol and cardiac recovery post-infarction. He has also contributed to therapeutic education programs like ELIPS and is innovating in patient engagement through initiatives such as museum-based therapy in collaboration with MCBA. His career integrates clinical practice, academic research, and public health implementation.

He leads interdisciplinary projects involving UNIL, CHUV, and EPFL, focusing on AI-driven models for atherosclerosis prediction using comprehensive lifestyle and imaging data. These efforts aim to transform preventive cardiology through data integration and personalized risk assessment.