Personal Resume

Analysis of natural language is the new frontier for data analysis in general. Computer-understanding of natural human speech and text will allow us to finally bridge the gap present gap before true AI, and I am eager to assist in this evolutionary transition. We can not only expect this technology to advance with English alone either, but with all of the world's major languages as well.

With the massive amounts of data that can be found through the Internet of Things, having a solid understanding of how to process it is essential for future technologies. Knowing how to find trends and correlations, and knowing how to avoid false ones, will be the most important skills to have in the coming years. I am currently working to improve my own ability to work with data, and I hope to be at the forefront of such within a couple years.

The inner workings of human speech lies in its grammar, and understanding not only the most mainstream grammatical formalisms but also alternatives is the only way to ensure that we can determine such. With this knowledge also comes the ability to automatically parse natural language syntactically, and only after this step can we semantically parse the data as well for true computer-understanding of text. I aim to keep up to date with not only syntactic research but also its parsing equivalent as well.