Lusann Yang

Lusann has been a software engineer within Google Research since September 2014. She works on projects that combine Google's strengths in experimental design, machine learning, and statistical data analysis at scale with basic scientific research. Lusann enjoys working on problems across a range of applied physics topics, including, in particular, experimental combinatorial oxide synthesis and computational materials science.

Previous Publications


    Proposed definition of crystal substructure and substructural similarity

    Lusann Yang, Stephen Dacek, Gerbrand Ceder

    Physical Review B, vol. 90 (2014), pp. 054102


    Data-mined similarity function between material compositions

    Lusann Yang, Gerbrand Ceder

    Physical Review B, vol. 88 (2013), pp. 224107