Summary
Nicholas Deas is a fourth-year PhD candidate in Computer Science at Columbia University specializing in NLP for computational social science, advised by Prof. Kathleen McKeown. He combines technical expertise in language generation, topic and named-entity modeling, and transformer-based architectures with applied research on psychological and political attitudes across dialects and cultures. With nine years of experience spanning industry roles at Giant Oak and extensive research at Clemson and Columbia, he has built multilingual NER systems, ensemble web-indexing pipelines, and tools for large-scale social media data collection. His work uniquely bridges social-psychological studies of suicidality and mass shootings with model bias and fairness evaluation, producing deliverables adopted for production use. Based in New York, he mentors graduate students and brings a rare mix of rigorous empirical methods and practical system-building to interdisciplinary questions about language, behavior, and society.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS Computer Science & Psychology, Bachelor of Science - BS Computer Science & Psychology at Clemson University
No Certificate - Study Abroad, No Certificate - Study Abroad at Stellenbosch University
Doctor of Philosophy - PhD Computer Science (Natural Language Processing), Doctor of Philosophy - PhD Computer Science (Natural Language Processing) at Columbia Engineering
South Carolina Governor's School for Science & Mathematics