Julia Jose

New York University • julia.jose [at] nyu.edu


I am a Computer Science Ph.D. candidate at New York University. My interests broadly lie in the application of natural language processing and deep learning methodologies to address privacy issues online. Currently, my research revolves around examining social media platforms to understand the presence of misinformation, conspiratorial content, extremism, and hate speech.

Previously, I was a Data Scientist at Atos zData, where I developed machine learning and AI-driven data science applications. During my time there, I also got to work on several cool 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.


Oct 2023 I passed my PhD Qualifying Exam!!
Sep 2023 Invited to peer-review papers for ACM CHI and ICWSM ‘24
Jul 2023 Awarded the USENIX Security ‘23 Student Grant
Apr 2023 Presented my work on propaganda indicators at Columbia University’s Data Science Day
Sep 2022 Started my PhD at NYU :slightly_smiling_face: