Austin J. Brockmeier

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From June 2014 to Feb. 2017, I was a research associate within the School of Electrical Engineering, Electronics and Computer Science at the University of Liverpool, where my mentor is Yannis Goulermas. I contribute to a project funded by the UK's Medical Research Council that seeks to develop techniques which can assist the literature screening involved with large-scale systematic reviews of health-related scientific literature. This is joint work with the National Centre for Text Mining at the University of Manchester, where I am currently a research fellow. My research involves developing machine learning theory and algorithms that yield interpretable descriptors, visualizations, and statistics for large natural language datasets.

I received a PhD in Electrical and Computer Engineering at the University of Florida in May 2014. My advisor was Prof. Jose C. Principe. During my PhD research I developed algorithms for extracting relevant patterns from signals and applied them to the analysis of multiscale neural data, both action potential timings (spike trains) and electrical potentials (local field potential and EEG recordings). We collaborated with researchers on sensory processing and brain machine interfacing.

My old lab member profile catalogs my research outputs during my PhD.

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