Kane Elfman

Background

About Kane Elfman

Kane Elfman's background spans computational neuroscience, web and full-stack development, quantitative analysis, building from the ground up in early-stage startups, and entrepreneurship. He completed a PhD at UC Davis in which he applied deep layer machine learning algorithms to understand human memory processes, with publications in multiple high-impact journals. Simultaneously, he pursued a passion for programming and web development, founding and overseeing the development of several experientially rich, socially interactive applications. Starting out as a hobbyist, he was one of the very first Facebook app developers, and built a range of popular apps attracting over one million users. He has a track record of adapting quickly to new fields and technologies, and seeing projects through from inception to completion. He is highly self-motivated and approaches every problem with a tireless attention to Server-side: NodeJS, PHP, Python, C#.NET, SQL.* Client-side: ECMA6, React, React native, Flux/Redux, Angular, HTML5, CSS3, Canvas, Pixi Cloud: Amazon AWS (EC2, S3), Firebase * Database: MySQL, MSSQL, SQLite, Oracle, NHibernate, Sphinx, Firebase NoSql Statistical Packages: iPython (with Scipy, Numpy, Theano, MySQLDB), SPSS, R Statistical Techniques: Artificial neural networks, energy-based deep learning, cluster analysis, multivariate regression, logistic regression, nonlinear modeling.* Research: Experiment design, research co-ordination, report writing, conference presentations, data analysis, teaching, mentoring.