2020 Women in Data Science (WiDS) Conference
WiDS Tech Talk: Applications & Implications of Women in Data Science
March 2, 2020
10:15am to 11:45am
Banatao Auditorium, Sutardja Dai Hall, UC Berkeley
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.