Research & Initiatives

The primary objective of my research group is to combine advanced machine learning and computational techniques with state-of-the-art multimodal single cell experimental technologies to investigate the development, regulation, and variability of the adaptive immune response in both health and disease. Our focus includes dynamics of the adaptive immune response to pathogens, autoimmunity, cancer, and vaccination at both cellular and tissue level.

We are specifically interested in providing a deeper understanding of  the mechanisms underpinning T cell recognition of antigens. T cell immunity, specifically the computational inference of T cell antigen specificity, is a critical aspect of modern systems immunology, and remains as a challenge to researchers in the field. As such, a key focus of our group is to take advantage of breakthroughs in the field of ML and AI and the emerging unprecedented data from single cell technologies to computationally reconstruct a map between T cells and their target antigens. The ability to reconstructing such map, not only will shed further light on mechanisms of disease development, but also will be of great therapeutic value.