Deputy Group Leader of Analytics/Visualization, Research Scientist, collaborating with the Math group. She is also the image Analysis/Computer Vision consultant for the National Energy Research Scientific Computing Center (NERSC) . Ushizima is the Computer Vision co-P.I. for the Center of Applied Mathematics for Energy Related Applications (CAMERA) . She was recently selected a BIDS data scientist fellow.
Work focuses on image analysis and pattern recognition applied to diverse scientific domains - images range from biomedical pictures to porous material, e.g. micro-tomography of materials withapplications to carbon sequestration. Acted as Principal Investigator of the project Quantitative Image Analysis for Computational Modeling (LDRD-DOE) and co-P.I. of the projects: Visualization and Analysis for Nanoscale Control of Geologic Carbon Dioxide (Scidac-e) and From images to models to computational input (LDRD-DOE).
Before joining LBNL in 2007, she was a Computer Science professor at the Catholic University of Santos, Sao Paulo, Brazil. While professor, she was Principal Investigator of Computer Vision in Leukemia Diagnosis (Young Researcher Award) and FAP-Books (FAP-IV), co-Principal Investigator in Classification in Agriculture (Small Business Incentive Grants), all sponsored by FAPESP science foundation, Sao Paulo, Brazil. Her PhD is from the University of Sao Paulo (USP) in Computational Physics (2004), where she developed a prototype for computer-aided leukemia diagnosis in collaboration with the Hematology Laboratory (FMRP-USP) and feature selection tools for general purpose data application. Her master degree was at the same institute (thesis on biological signal processing). As part of her PhD, she was as a Visiting Researcher in the Electrical and Computer Engineering Department at UC Santa Barbara in 2004. Federal University of Sao Carlos, Brazil is where she got a degree in Computer Science in 1997, completing a monograph on the automation of Intensive Therapy Unit procedures, which was based on internship in industry (Dixtal Biomedica).
Interests include computer vision, machine learning, signal processing, quantitative microscopy, and high-performance computing.