Computer Scientist building the bridge between human discourse and machine reasoning. My research leverages NLP to deconstruct argumentation patterns within societal dialogues, creating the foundation for more robust, explainable, and aligned AI. This work is critical for developing autonomous agents that can reason soundly about complex, human-centric problems and contribute to a healthier public sphere.
Computational tools analyzing 120K+ political messages to detect fallacies, reduce echo chambers, and bridge representation gaps in democratic discourse.
Bias detection systems deployed in production to create more aligned AI that understands human reasoning and provides transparent explanations.
Discourse analysis tools analyzed 130K+ Telegram messages to identify manipulation patterns and guide counter-disinformation strategies.
Core Mission: Building technology that enhances rather than replaces human reasoning - creating tools that help us argue better, think clearer, and make wiser collective decisions.
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Comprehensive argument mining framework that detects existence, topic, and stance of arguments across contexts. Leverages fine-tuning and prompt-engineering of Large Language Models for analyzing discourse in various text formats.
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Web-based platform for analyzing and visualizing discourse dynamics. Processes text data from Congressional hearings, Reddit threads, and other sources with CSV upload and API retrieval capabilities.