About Me

Sarah Brown is a Chancellor’s Postdoctoral Fellow in the Department of Electrical Engineering and Computer Science.  Sarah’s research focuses on the design and analysis of machine learning methods for use in scientific research.  This includes development of machine learning models and algorithms that are reflective of scientific thinking about the data, analyzing their limits in […]


I am interested in applying machine learning methods in the context of scientific problems and the unique challenge that poses: how do we learn and assess performance when uncovering the ‘ground truth’ is the objective? I take an engineering approach, starting from the specific problems of interest in the data, then modeling them and selecting appropriate performance measures […]

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