Daniela Ushizima is the Computer Vision Area Leader for the Center of Advanced Mathematics for Energy Research Applications (CAMERA) at Berkeley Lab, and a Data Scientist for the Berkeley Institute for Data Science (BIDS) at UC Berkeley. In 2014, Ushizima received the Moore-Sloan Foundation Data Science Fellowship and the U.S. Department of Energy Early Career Award in 2015 to focus on the research project: Image across Domains, Experiments, Algorithms and learning (IDEAL). She is one of the founders of ImageXD, the first cross-domain initiative at BIDS, which is now a yearly conference focused on image analysis across domains. Together with colleagues at UCB, UCSF, and LBNL, Ushizima has been working on algorithms with applications ranging from biomedical image analysis to quality control for the design of new materials. At WIDS Berkeley, she will discuss advancements & challenges in medical imaging of breast cancer, cervical cancer, Alzheimer's brain cytology and Neuro-oncology. More info about projects at http://bit.ly/idealdatascience.
Dani Ushizima is a data scientist at BIDS, where she leads the Center for Recognition and Inspection of Cells (CRIC), where her research focuses on imaging cancer cells for early-stage disease diagnosis; and she is also a staff scientist at Berkeley Lab, where she leads the U.S. Department of Energy Early Career Research Project on Image across Domains, Algorithms and Learning (IDEAL). With 20 years of research and development experience in Computer Vision, Dani has focused primarily on quantitative microscopy and microstructure classification, from materials science to biomedical imaging.