I'm a detail-oriented and personable computational neuroscience PhD who's spent over 8 years in research studying the computations underlying sensory processing and early perception. I've designed, executed, and completed multiple scientific research projects, mostly utilizing electrophysiological techniques, and have published in respectable journals on each of them. For these projects I analyzed large neural time series datasets, using statistical and machine learning techniques (eg. regressions, bootstrapping, clustering, dimensionality reduction), and built models of neural networks to verify my results. I have orally presented these results at the leading neuroscience conferences, and I have a knack for distilling challenging scientific information, both visually and orally. I'm excited to use my technical and computational expertise to solve challenging problems in the medical or tech industries.