Dani Ushizima is a Computer Scientist focused on Computer Vision and Machine Learning algorithms to characterize materials toward self-driving labs. Her research has impacted projects that depend on experimental data coming from instruments reliant on x-ray, electron, confocal, and other light-matter interactions. In 2015, Ushizima received the U.S. DOE Early Career Research award to work on pattern recognition for scientific images. In 2021, she was honored by 3M as one of the top "25 Latina in Science" for biomedical research. Also in 2021, Ushizima and colleagues received the Berkeley Lab Halbach award for creating machine-learning-based techniques in support to the Advanced Light Source. Currently, Ushizima leads research projects in the Center for Advanced Mathematics for Energy Related Applications (CAMERA). Jointly with UCSF Grinbergs lab, she has developed a new technique for detecting biomarkers of Alzheimer’s disease and for supporting measurement of the efficacy in experimental treatments.
Track Chair: Sean Khozin, CancerLinQ