Our focus is mathematical modeling of the immune system in vivo. Our models span mechanistic (e.g., dynamic gene regulatory networks) to deep learning (e.g., prediction of cellular epigenomes from DNA sequence), integrating cutting-edge measurement technologies (e.g., single-cell genomics, chromatin state, proteomics).
Situated at Cincinnati Children’s Hospital, we are dedicated to the design of computational methods and systems-immunology studies that will ultimately improve the health of children. Through close collaboration with our physician and experimental colleagues, we have the opportunity to iteratively test computational predictions and refine our models, leading to novel insights into immune-cell function and new therapeutic strategies in the context of autoimmunity, infectious disease and cancer. Our interdisciplinary, team-oriented computational-experimental studies push the boundaries of both immunology and computational biology.