Tal August
Department of Computer Science
University of Illinois Urbana-Champaign
About Professor Tal August
Tal August is an Assistant Professor in the Department of Computer Science at the University of Illinois Urbana-Champaign, a world-renowned institution consistently ranked among the top computer science schools globally. The department at UIUC is celebrated for its pioneering research environment and its commitment to advancing foundational and applied computing disciplines. This prestigious academic setting, known for its collaborative culture and cutting-edge resources, provides an ideal foundation for Professor August’s innovative work at the intersection of artificial intelligence and human-centered design, fostering breakthroughs that bridge technical excellence with societal impact.
🧬Research Focus
Professor August’s research program is centered on developing human-centered AI systems to democratize access to complex information. Her work in natural language processing and human–computer interaction investigates how AI can enhance comprehension and communication in specialized fields like medicine, law, and science. By focusing on explainable AI, augmented reading and writing tools, and AI for education, she aims to create interactive systems that make expert knowledge more accessible and actionable. This research has significant real-world applications, from improving science communication and educational outcomes to designing more trustworthy and effective AI assistants that support critical decision-making processes.
🎓Student Fit & Career
Graduate students seeking to work with Professor August will find a dynamic research environment suited for those passionate about the societal implications of technology. Ideal candidates are PhD students or master's researchers with interests in human–computer interaction, computational linguistics, and user-centered design, who are motivated to tackle problems of knowledge accessibility and equity. Through dedicated academic mentorship, students will gain expertise in both technical AI development and empirical evaluation, preparing them for impactful careers in academia, industrial research labs, or specialized roles in tech companies focused on ethical AI, education technology, and human-AI collaboration.
Research Areas
Reviews (0)
No reviews yet for this supervisor.
Be the first to share your experience!
Frequently Asked Questions
Not sure how to interpret mixed signals? A structured decision guide can help you think through high-risk supervision choices more clearly. Download the free guide.