Research
Research groups
Research interests
- Optimization
- Machine Learning and AI
- Linear Algebra
- Signal Processing
- Neuroscience
Current research
Brendan's research focuses on the analysis of combinatorial optimization problems arising in machine learning and high-dimensional statistics. This includes:
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The design and implementation of novel optimization algorithms;
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Study of the optimization landscape of model problems and sufficient conditions for perfect recovery of structures within data;
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Applications in planetary science, astrophysics, geochemistry, biomedical analysis, neuroscience, and sports analytics.