黑料正能量

黑料正能量 has named two faculty members from Dietrich College of Humanities and Social Sciences among University Professors, recognizing their exceptional contributions to research, education and interdisciplinary collaboration. and join a distinguished group of scholars whose work spans disciplines and drives impact across fields.

The University Professor designation is the highest distinction a faculty member can receive at Carnegie Mellon, awarded to individuals whose research, teaching and leadership transcend traditional academic boundaries. From advancing how organizations learn and how products are designed to shaping data science education, language technologies and decision-making, these faculty members are influencing both scholarship and real-world practice.

Together, their work reflects Carnegie Mellon鈥檚 commitment to addressing complex challenges through cross-disciplinary innovation, with applications that extend from classrooms and laboratories to industry and society.

Rebecca Nugent is the Stephen E. and Joyce Fienberg Professor of Statistics & Data Science and head of the Department of Statistics & Data Science in Dietrich College. Her work centers on statistical learning and the application of data science to complex, real-world challenges. Over the past decade, she has played a leading role in shaping data science education and research at multiple levels, from undergraduate and graduate programs to professional and public-facing initiatives. She has been instrumental in launching and revitalizing graduate-level programs and certificates in data science, as well as building continuing professional education programs that bring AI and data science training to the broader workforce.

Her efforts extend beyond the classroom to the development of research centers and institute-level initiatives, helping to position Carnegie Mellon as a leader in interdisciplinary data science and AI. Nugent鈥檚 vision of 鈥渟tudents鈥� spans the full spectrum 鈥� from pre-college learners to working professionals 鈥� and her work emphasizes expanding access to data science knowledge across these communities.

Through her leadership in program development, research and outreach, Nugent has helped define how data science is taught, studied and applied at scale, equipping learners at every stage to engage critically with data and drive informed decision-making.

Richard Scheines is the Bess Family Dean of the Marianna Brown Dietrich College of Humanities and Social Sciences and a professor of philosophy and machine learning. His work sits at the intersection of data science, philosophy and social science, with a focus on the problem of establishing causal claims.

Scheines is widely known for advancing computational methods for causal discovery, developing tools that help researchers uncover causal structure in complex data. His work has applications in fields ranging from public health to economics and education.

As dean, Scheines champions interdisciplinary research and data-informed inquiry, fostering collaboration across the humanities, social sciences and technical fields. His leadership reflects a commitment to integrating rigorous analytical methods with questions about human behavior, decision-making and society.

Read the university鈥檚 full announcement to learn about additional faculty named University Professors in 2026, including , , and .