Defence Scientist at Defence Research and Development Canada | Recherche et développement pour la défense Canada
Halifax, Nova Scotia, Canada
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Summary
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Martha Ferreira is a Defence Scientist based in Halifax with nine years of experience applying machine learning and visualization to real-world problems across defence, healthcare, marine safety, and manufacturing. She holds a Ph.D. in Computer Science from the University of São Paulo with research in deep learning, convolutional neural networks, and statistical learning theory, and has translated that theory into applied systems for near-real-time decision support. Her postdoctoral work at Dalhousie focused on active learning, interpretability, and visual analytics to help users understand model suggestions for infectious disease monitoring and detecting suspicious marine activities. At NovaResp she rapidly prototyped ML and deep learning models from messy data, and at DRDC she now brings that applied rigor to defence research challenges. Colleagues describe her as a researcher-engineer who blends strong theoretical foundations with a pragmatic focus on usability and interpretability in high-stakes environments.
8 years of coding experience
1 year of employment as a software developer
Bachelor's Degree, Computer Science, Bachelor's Degree, Computer Science at Universidade Estadual Paulista Júlio de Mesquita Filho
Internship, Artificial Neural Network; Visualization, Internship, Artificial Neural Network; Visualization at Dalhousie University
Neural Network Training Fingerprint (NNTF) is a visualization approach to analyze the training process of any neural network performing classification.
Contributions:29 commits, 1 PR, 1 push in 9 months
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Martha Ferreira - Defence Scientist at Defence Research and Development Canada | Recherche et développement pour la défense Canada