Daniela Ushizima is a Senior Scientist and computer vision researcher based in Berkeley who has spent two decades turning AI and machine learning into actionable decision-making tools for energy and biomedical labs. With a PhD in Engineering Physics and over a decade at Berkeley Lab rising from postdoc to senior staff scientist and research lead, she blends deep technical research in pattern recognition with practical data-science leadership. She co-leads applied mathematics initiatives for energy research, serves as affiliate faculty at UCSF and UC Berkeley, and directs data analytics and visualization efforts that bridge lab science and production workflows. Known for inventing novel imaging and analysis methods, she consistently translates complex computer-vision research into deployable solutions that accelerate experiments and diagnostics.
11 years of coding experience
17 years of employment as a software developer
Data Scientist Data Processing, Data Scientist Data Processing at University of California, Berkeley
Doctor of Philosophy (PhD) Engineering Physics/Applied Physics, Doctor of Philosophy (PhD) Engineering Physics/Applied Physics at USP - Universidade de São Paulo
high school, high school at Anglo-CID
Bachelor of Science Computer Science, Bachelor of Science Computer Science at UFSCar - Alumni
High School Mathematics, High School Mathematics at Anglo Campinas
Contributions:37 commits, 32 pushes, 1 branch in 3 years 6 months
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