I am interested in learning and generalization from data from a diverse set of perspectives: computational, inferential, decisional, and mathematical. Learning and generalization from data helps addressing scientific questions from ecology to neuroscience, and tackling challenges to build the next generation of AI technology. 

I have recently been working on robust learning, decoding and inference, and generalization.  I have also been working on developing practical AI algorithms and tools for various applied domains including audio, language, vision, as well as wildlife conservation and brain science.