Research Interests
Understanding the molecular basis of life requires a deep knowledge of genes and proteins that make up all organisms. My group is interested in data science approaches to make biological discoveries and reveal fundamental principles of biological systems. We employ and develop computational and experimental methods to study biological systems at different scales of complexity: from systems at the atomic level (e.g., structures) to the network of interactions between molecules (e.g., protein interaction networks) and those pertaining to the level of an entire population (e.g., variation in the human population and cancer genomes). We envision that our findings will help to better understand how mutations cause diseases such as cancer, and that the knowledge can be used in biotechnology, drug discovery, and personalized medicine.