Dance Performances
I've trained in Chinese dance, ballet, and contemporary dance for over thirteen years, including five years as a member of a competitive Chinese dance team. Through hundreds of rehearsals and performances, dance has become much more than a hobby—it has taught me discipline, resilience, teamwork, and how movement can tell powerful stories while celebrating and connecting with culture and tradition.
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Competition Awards
- Showstopper Dance Competition - Nationals (July 2025): 1st, 3rd, and 4th Place Overall
- Showstopper Dance Competition - Regionals (March 2025): 1st and 3rd Place Overall
- Showstopper Dance Competition (March 2024): 1st, 1st, and 3rd Place Overall
- Legacy Dance Competition (May 2023): 1st and 2nd Place
- Showstopper Dance Competition - Regionals (March 2023): 1st and 4th Place
- Showstopper Dance Competition - Nationals (July 2023): 1st Place (both dances)
- Revolution Dance Competition (April 2022): 2nd Place
- Showstopper Dance Competition - Regionals (March 2022): 2nd and 3rd place; qualified for Nationals
Teaching Dance at FCSN
I have been volunteering for many years with Friends of Children with Special Needs (FCSN), a Bay Area nonprofit dedicated to enriching the lives of children and young adults with developmental disabilities. As a volunteer dance instructor, I teach dance, music, and other creative activities to kids with special needs — bringing joy, confidence, and a sense of rhythm into their lives through movement.
AI-Powered Dance Project
Inspired by my years teaching dance at FCSN, I created a set of AI-generated dance clips designed specifically for young learners and kids with special needs. The clips use EDGE (Editable Dance GEneration), a generative AI model from Stanford University that choreographs realistic, physically plausible dance animations synchronized to any piece of music. (Stanford HAI, April 2023)
The key advantage of EDGE is its ability to analyze a song's rhythm and emotional tone and generate choreography that a real dancer could actually perform — no frame-by-frame animation required. For this project, I chose kid-friendly, upbeat music — tracks kids already know and love — so the AI-generated moves are energetic, playful, and easy to follow along with. This makes learning to dance more fun and less intimidating, especially for children who benefit from visual, movement-based instruction.
The raw clips were then post-processed in 3D software to polish the lighting, colors, and character look, giving the animations a bright, appealing finish that captures kids' attention and keeps them engaged.