Master Student

Yuen-Hei is a Master's student in Computer Science at NYU Courant, currently working with Prof. Mengye Ren and Chris Hoang. His research interests include more efficient visual representation learning for visuomotor policy learning through self-supervision and test-time tuning for robust out-of-domain generalization. Prior to NYU, he completed his Bachelor’s in Computer Science at the City University of Hong Kong, supported by the Innovation and Technology Scholarship from the Government of Hong Kong and HSBC.