My name is Navie Narula and I am a graduate student at Columbia University studying computer science and journalism. Prior to that, I completed an undergraduate degree in both computer science and secondary English education at Boston University.

I am interested in text mining, language extraction, and pattern recognition as it may pertain to any type of unstructured data. I hope to use my computation skills for social good, especially when it comes to uncovering meaning in language. Last spring, I computationally examined language in subreddit comments related to eating disorders. I also built a tool to detect emotion in text, which would then generate music based on that emotion label. In the past, I've analyzed trending topics on Twitter based on sentiment derived from a self-devised scoring algorithm.

As a result of taking a class on computational models for speech, I have become interested in audio input in addition to text. For my master's thesis at the journalism school, I studied features (i.e. pitch, intensity, etc.) related to five emotion categories. I am currently in the works of adding modifications to my classifier to better identify which sound utterances may pertain to which emotion.

I am currently a software engineering intern at Axios and a datanaut for NASA. I have also previously worked at Quid (search/infrastructure engineering), the MIT Press (digital products), Cambridge Community Television (technical education), the BU Hariri Institute for Computing (data storytelling research), and the Creative Machines Lab (AI research) at Columbia University. On campus, I currently serve as the Community Chair for the Women in Computer Science club. I am also on the sponsorship committee for our school's diversity hackathon, DivHacks. If you somehow miss me there, find me at another hacking event!