mirae at memelab dot ca




Mirae Rosner enlivens social and public spaces through performance, interactivity, collectivity and participation. She often works collaboratively and is a member of Dance Troupe Practice. Her solo practice in dance, writing, and video focuses on landscape, economies, intimacy, and inclusivity. Often she approaches these themes through experiential approaches to performance, site-specificity, and participation.

Since graduating from MainDance Contemporary Dance School in 2004, Mirae has interpreted work by choreographers Donna Redlick, Susan Elliot, Anne Cooper, Helen Walkley, Megan O’Shea, and Julie Lebel. She has been a project assistant, performer, and facilitator with Karen Jamieson since 2007, supporting community-based dance in Vancouver's Downtown Eastside.  In 2014-15 She worked with Naomi Brand and Sarah Lapp to co-facilitate mixed-ability dance as part of the All Bodies Project. 

Mirae has performed and created work in Europe, Asia, and North America for media, performance art, and dance contexts. Her original collaborative and solo work has been shown at New Forms Festival (Vancouver), Dancing on the Edge (Vancouver), Rhubarb Festival (Toronto), Hunger International Performance Festival (Berlin), Transmediale11 (Berlin), 48 Hours Neukolln (Berlin), Piksel Festival (Bergen), and others.  

Mirae has been supported as an Artist-in-Residence at Artengine (Ottawa), The Banff Centre (Banff), MARIN (Norway/Sweden/Lithuania), Incheon Art Platform (South Korea), and The Hammock Residency (Vancouver). In 2008, she received BC Arts Council & Canada Council for the Arts professional development awards to study mixed-ability dance at ImPulsTanz Festival (Vienna).  Mirae holds a B.A. in Human Geography from The University of British Columbia (1998).

In 2015-16, Mirae will complete her studies in Expressive Arts Therapy at Langara College, and facilitate inclusive, dance-based research as part Dance Troupe Practice’s Field House Residency (Vancouver Parks Board).


I am a star: universal landscape detection methodology