Summary
Julia Mendelsohn is an Assistant Professor at the University of Maryland and Affiliate Professor at the Artificial Intelligence Interdisciplinary Institute at Maryland (AIM), specializing in natural language processing, computational social science, and sociolinguistics. With a nine-year research trajectory spanning Stanford, Michigan, Chicago, and Maryland, she integrates linguistics, information science, and AI to study language in social contexts. Her work combines rigorous computational methods with sociolinguistic inquiry to reveal how language reflects and shapes collective behavior. She holds an MS in Computer Science from Stanford and is a PhD student at the University of Michigan School of Information (2019–2025). Based in the United States, she collaborates across institutions to advance interdisciplinary NLP and social science research and mentorship.
9 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Information, Doctor of Philosophy - PhD, Information at University of Michigan
Stuyvesant High School
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Stanford University
English, German, Spanish, Yiddish