Faculty Awards and Achievements
Carl Kubler Named Luce/ACLS Fellow for Research on China-West Trade and Relations in the 18th–19th Centuries
Carl Kubler , assistant professor in the Department of History, was named one of 14 Luce/American Council of Learned Societies (ACLS) Early Career Fellows in China Studies. His project, “Beyond Conflict: Global Trade and Everyday Relations Between China and the West, 1780- 1860,” examines the history of trade and grassroots relations among Chinese people, Europeans and Americans on the South China Coast in the decades surrounding the first Opium War (1839 to 1842). This project will culminate in a book and is based on Kubler’s doctoral dissertation, which won the 2022-2023 World History Association Dissertation Prize for the best dissertation in world, global or transnational history.
Mame-Fatou Niang Honored with CMU’s Ryan Award for Meritorious Teaching and Innovation in Francophone Studies
Mame-Fatou Niang received the William H. and Frances S. Ryan Award for Meritorious Teaching at CMU’s 2024 Celebration of Education. Niang is an associate professor of French and Francophone studies and director-founder of the Center for Black European Studies and the Atlantic (CBESA). Since she arrived at CMU in 2012, Niang’s expertise on the Francophone world and dedication to education have manifested as ground- breaking projects, a first-of-its-kind center and powerful courses.
Aaditya Ramdas Named 2024 Sloan Research Fellow for Pioneering Work in Statistical Inference and AI
Aaditya Ramdas , assistant professor in the Statistics & Data Science and Machine Learning departments, was named a 2024 Alfred P. Sloan Research Fellow in Mathematics. Fellows are selected on the basis of their independent research accomplishments, creativity and potential to become leaders in the scientific community through their contributions to their field. Ramdas’ research is on foundational topics in statistical inference and learning, ranging from how modern artificial intelligence systems can quantify uncertainty of their predictions to a new theory of measuring and combining statistical evidence based on game-theoretic principles.
Dietrich College of Humanities and Social Sciences | Carnegie Mellon University 34
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