Julia Jose

I am a Computer Science Ph.D. candidate at New York University, advised by Rachel Greenstadt. My interests broadly lie in the application of natural language processing and deep learning methodologies to address privacy issues online. Currently, I’m studying social media platforms to understand the presence of misinformation, conspiratorial content, extremism, and hate speech.

This summer, I worked at Atento Capital, a Tulsa-based venture capital firm focusing on early-stage startups. As a VC and ML fellow, I explored investment evaluation, deal sourcing, and growth strategies while also advancing machine learning initiatives within its portfolio companies. Before starting my PhD, I was a Data Scientist at Atos, where I developed AI-driven applications and worked with innovative MLOps tools.

I have a master’s degree in Computer Science from Arizona State University and a bachelor’s degree in Electronics and Communication Engineering from National Institute of Technology Delhi. While at ASU, I collaborated with the Behavioral Research Lab by implementing technological tools to analyze behavioral patterns. I also had the opportunity to serve as a Graduate Teaching Assistant for courses such as Principles of International Business and Negotiation at the W. P. Carey School of Business.

During the early part of my career, I worked as a Research and Development Intern for Qatar Computing Research Institute. I rotated within three of their departments – Arabic Language Technologies, Social Computing, and Visualization.

Outside of my ongoing academic research, I’m currently reading about the language-cognition relationship, specifically along the connectionism perspective.