Visiting Professor, Art and Machine Learning, Carnegie Mellon University
Eunsu Kang is an artist, a researcher, and an educator who explores the intersection of art and machine learning. She has been making interactive art installations and performances, teaching artmaking using machine learning methods, and now she is also looking into the possibility of creative AI. She was a tenured art professor and now is teaching at Carnegie Mellon University’s School of Computer Science. She started her artist career with video installations and single-channel videos. After more than 100 exhibitions, her works have transformed into interactive and interdisciplinary art projects, which currently focuses on the new area of AI art. Her work has been invited to numerous places around the world including Korea, Japan, China, Switzerland, Sweden, France, Germany, and the US. All ten of her past solo shows, consisting of individual or collaborative projects, were invited or awarded. She has won the Korean National Grant for Arts three times. Her research has been presented at conferences such as ACM, ICMC, ISEA, and NeurIPS. Kang earned her Ph.D. in Digital Arts and Experimental Media from DXARTS at the University of Washington. She received an MA in Media Arts and Technology from UCSB and an MFA from Ewha Womans University.
Adjunct Faculty, Machine Learning, School of Computer Science
Dr. Tibshirani's research interests lie broadly in statistics, machine learning, and optimization. More specifically, he is interested in high-dimensional statistics, post-selection inference, nonparametric estimation, convex optimization, and convex geometry. He likes to think about problems from different angles: applied, theoretical, and computational. He is also interested in developing methods for epidemiological forecasting, particularly flu forecasting.