Caitlin Trainorمشاهده پروفایل
عضو هیئت علمی
Caitlin Trainor is an Adjunct Lecturer in the Department of Dance, where she has been a faculty member for eight years, dedicated to teaching and sharing dance with students of all levels. Her academic and artistic work bridges performance, choreography, and interdisciplinary collaboration. Educational Background: B.S. in Dance Performance and Choreography – Skidmore College M.F.A. in Dance Performance and Choreography – Mills College Her creative practice centers on exploring ideas through movement and collaboration, with a strong emphasis on interdisciplinary innovation. She has partnered with fashion designer Christian Siriano and computer scientist Apoorv Agarwal on the TEDx presentation Artificial IntelliDance , merging dance with artificial intelligence. Her performance experience includes prestigious institutions such as the Metropolitan Opera Ballet and collaborations with renowned choreographers like Seán Curran and Stephan Koplowitz. Trainor is the founder and artistic director of Trainor Dance, through which she creates and performs original works. She has choreographed for Nacre Dance Company, Marked Dance Project, and various university dance programs. Internationally, she has taught and performed at venues including Dance City in England and Montclair State University. During her time in the U.K., she co-founded Fresh , a forum for new dance work development. She has received grant support from the New York Foundation for the Arts and production support from Barnard College and Columbia University. Her courses include Modern I, reflecting her commitment to foundational and advanced dance training. Advising and Grants: Recipient of a generous grant from the New York Foundation for the Arts Ongoing production support from Barnard College/Columbia University No formal advisees listed Labs and Creative Teams: Trainor Dance – her own performance and creation company Co-founder of Fresh – a U.K.-based forum for regional dance artists Collaborator with interdisciplinary teams in fashion and computer science




