Daniel G. Alabi
Department of Computer Science
University of Illinois Urbana-Champaign
About Professor Daniel G. Alabi
Professor Daniel G. Alabi is an Assistant Professor in the Department of Computer Science at the University of Illinois Urbana-Champaign, a world-renowned public research university consistently ranked among the top institutions for computer science and engineering. The Department of Computer Science at UIUC is celebrated for its pioneering research environment, cutting-edge facilities, and a legacy of innovation that attracts leading faculty and ambitious students from across the globe. This dynamic academic setting provides an ideal foundation for Professor Alabi’s interdisciplinary work at the intersection of theory and practical system design.
🧬Research Focus
Professor Alabi’s research program is centered on the theoretical foundations of privacy, security, and robustness in data-driven systems. He employs rigorous tools from information theory, cryptography, and theoretical computer science to investigate critical questions in AI/ML security, differential privacy, and learning theory. His work examines fundamental trade-offs between privacy constraints and computational resources like communication complexity and randomness, aiming to develop principled frameworks for mitigating risks in modern machine learning. This research is vital for enabling trustworthy and secure artificial intelligence, with profound implications for fields reliant on sensitive data, from healthcare to finance.
🎓Student Fit & Career
Graduate students seeking to work with Professor Alabi will find a stimulating environment for rigorous theoretical exploration. Ideal candidates are PhD students with strong foundations in mathematics, theoretical computer science, or related disciplines, who are passionate about applying abstract reasoning to solve concrete problems in data security and privacy. Through dedicated academic mentorship, students will engage in graduate research that hones their ability to formulate and prove foundational results. This training prepares them for impactful careers as research scientists in both industry and academia, equipped to advance the frontiers of secure and private computing.
Research Areas
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