Dani Ushizima, Ph.D., is a SENIOR Scientist at Berkeley Lab, also Affiliated Faculty with the Bakar Institute at UC San Francisco, and Berkeley Institute for Data Science (BIDS) at UC Berkeley. She leads the Machine Learning (ML) team for the Center of Advanced Mathematics for Energy Research Applications (CAMERA) at LBNL. Since 1996, Ushizima has investigated, developed and deployed advanced algorithms to extract information from scientific data for decision making. Together with her team at Berkeley Lab, they develop computer vision software that exploits unique ML and datasets from microscopes (e.g. X-ray, electron, tomography) for quantitative analysis. She has led projects ranging from quality control of materials, plant growth to testing radioactive markers for biomedical imaging. In addition to high-resolution, high-throughput image sources, her research also includes ML such as transformers applied to natural language processing. Awarded DOE Early Career fellowship in 2016. Development of pyCBIR, an image recommendation software. Nominated the LBNL Director's Award in 2017, followed by the LBNL Women@Lab in 2018, the Latina Scientist in 2021 and the PMWC Pioneer Award in 2023. Scientific diplomacy with the U.S. Dept. of State TechWomen. Cooperation with UC San Francisco in the design of algorithms to improve cell counting and analyses of biomedical imaging. Visit Ushizima's website for more information.

Area of Interest

• Condensed Matter Physics
• Materials Engineering
• Artificial Intelligence and Image Processing
• Clinical Sciences
• Neurosciences

Education

• Ph.D.| University of Sao Paulo, Sao Carlos, Brazil
• Master| University of Sao Paulo, Sao Carlos, Brazil