Dr. Cristian Carmeli, PhD, is a quantitative scientist with expertise in biostatistics, epidemiology, and machine learning. He is senior lecturer (Maître d’Enseignement et Recherche) in health data science at the University of Fribourg, Switzerland. Cristian holds a PhD in applied dynamical systems from the Swiss Federal Institute of Technology of Lausanne (EPFL), and has experience in research fields from clinical neuroscience to bioinformatics. Using an interdisciplinary approach, Cristian harnesses heterogenous big data and leverages cutting-edge analytics to better characterize determinants of population health for life course epidemiology. Latest research efforts are rooted in enhancing causal criteria through mechanistic ‘omics analyses, and applying counterfactual mediation and Mendelian randomization methods. His current research interests involve collaborators at University of Lausanne, Fribourg, Zurich, and Imperial College London. At the heart of Cristian’s pedagogical aims is advocacy for sound methods, promoting such in the mentoring of students and in collaborations.