About
The INCEPTION aims to develop a core structure to mobilize data resources, numerical sciences, and fundamental experimental biology in various health issues.
The inception program uses Integrative Biology, Social Science, and Data Science to understand the Emergence of Diseases in Populations and Individuals, gathering different fields of expertise (biology, medicine, computer science, mathematics, statistics, physics, and social sciences).
The INCEPTION program addresses societal challenges related to diseases emergence:
- Global surveillance and monitoring
- Multi-scale analyses, integrating the ecosystem
- Social sphere to define health policies
- New methodological approaches to make sense of biological big-data
This year we will welcome four external speakers for a special focus on Genome-Wide Association Studies (GWAS) and how these studies could pave the way for the future of genetics:
Sriram Sankararaman, Professor of Computer Science, Human Genetics, and Computational Medicine at UCLA, he explores the intersection of computer science, statistics, and biomedicine.
Na Cai, Assistant Professor at ETH Zurich, she studies the genetic basis of mental health disorders, specifically Major Depressive Disorder.
Bogdan Pasaniuc, Professor Bogdan Pasaniuc, founding Director of the Centre for Computational Biomedicine at Penn, leads the MyPennGenome program, combining genomics with AI/ML to enhance patient outcomes.
Iuliana Ionita-Laza, Professor of Biostatistics, she focuses on the intersection of statistics and genomics, developing statistical and machine learning methods to analyze high-dimensional genetic data.
Scroll down to discover the program of the day:
