I recently earned a Ph.D. in Bionegineering with a concentration in Neurotechnology and Computational Neuroscience. I have been involved in multiple forms of Computational Neuroscience research during and before the degree. I continue to work on that research as I apply for post-doc positions. Some of my interest areas include computational modeling, spiking neural networks and other networks, sensory perception, spatial navigation, learning and memory, and processing electrophysiology recordings big data.  You are welcome to view some of my research at NSutton.com.  My diversity of software development in languages and technologies, degrees related to Computational Neuroscience and Computational Biology, biological knowledge of neuroscience and psychology, mathematical skills gained from statistics and calculus related courses, and working with machine learning algorithms combine to assist me in my work.For many years I have worked on Computational Neuroscience and Computational Biology research projects. I have analyzed big neural and biomedical data (e.g., genetics) through optimizing software design, working with a variety of statistical techniques, and integrating well with apis, libraries, and other code. In terms of programming I have worked with multiple compiled and interpreted languages but am strongest in C++, Java, and Python.  I am a full stack developer and I have done both frontend web development including javascript, PHP, and CSS, and backend development with database integration, web frameworks, and test suites.  See my Github page for examples: github.com/nmsutton. See my Google Scholar page for my publications: scholar.google.com/citations?hl=en&user=5-UnxssAAAAJ.