Daniela Ushizima
Scholar

Daniela Ushizima

Google Scholar ID: AEm0StsAAAAJ
Lawrence Berkeley National Laboratory, UC Berkeley, UC San Francisco
Computer VisionMachine LearningQuantitative MicroscopyVisualization & Explainable AI
Citations & Impact
All-time
Citations
1,839
 
H-index
22
 
i10-index
48
 
Publications
20
 
Co-authors
53
list available
Resume (English only)
Academic Achievements
  • DOE Early Career Fellowship awardee (2016)
  • Developed pyCBIR, an image recommendation software
  • Nominated for LBNL Director's Award (2017)
  • Recipient of LBNL Women@Lab Award (2018)
  • Recognized as Latina Scientist (2021)
  • PMWC Pioneer Award recipient (2023)
  • Engaged in scientific diplomacy through the U.S. Department of State’s TechWomen program
Background
  • Senior Scientist at Lawrence Berkeley National Laboratory (LBNL)
  • Affiliated Faculty with the Bakar Institute at UC San Francisco
  • Affiliate Researcher at the Berkeley Institute for Data Science (BIDS), UC Berkeley
  • Leads the Machine Learning (ML) team for CAMERA (Center for Advanced Mathematics for Energy Research Applications) at LBNL
  • Has researched, developed, and deployed advanced algorithms for scientific data analysis since 1996
  • Research focuses on computer vision, quantitative analysis of microscopy data (e.g., X-ray, electron, tomography), high-resolution/high-throughput imaging, and application of ML (e.g., Transformers) to natural language processing
  • Collaborates with UC San Francisco on algorithms for cell counting and biomedical image analysis