research
stability, model reduction and parameter estimation of biochemical reaction networks; ecological species interaction networks and metapopulation models; validity conditions for quasi steady state approximations; representation learning for biological sequences; interpretability for biological sequence and biomedical image analysis; deep machine learning for structural and functional genome annotation; deep machine learning for 3-D object understanding; 3-D phenotyping of rice plants via computer vision and machine learning; uncertainty and out-of-distribution modeling for deep machine learning; and adversariality in deep machine learning.
