Our research is focused on Machine Learning and Bioinformatics. The overarching goal is to develop novel computational methods for advancing biological discoveries. Current research projects include machine learning analysis on single-cell data, multi-omics integration in cancer, experimental design and model reduction in systems biology. More details available in the poster below and on our research page >>
In the Fall 2020 semester, we are recruiting motivated PhD students for multiple research projects, in the areas of scRNA-seq data analysis, flow cytometry analysis, and image-based deep learning. See our lab poster for more details. If you are interested, please email us.