I am LIYUFAN (aka Fish \ 鲤鱼)
a PhD candidate at HKUST (GZ), majoring in Computational Media and Arts.
My works span two main areas:
– My research is situated in neuroaesthetics and empirical aesthetics, especially around embodied aesthetic experience, low-semantic visual content, and the appreciation of visual art beyond fluent or pleasure-based models. I use fNIRS and EEG in neuroaesthetic experiments, and I often use computational modeling to understand and explore aesthetic mechanisms;
– My art practice explores bodily, material, and uncomfortable forms of experience, using bitterness, pain, and tension to express personal and collective suffering and their alongside wishes. I often work with everyday materials, and combine them with AI, data, HCI, and interactive systems to create participatory artworks.
I have an interdisciplinary educational background, holding an MEng in Artificial Intelligence and Data Design and a BEng in Vehicle Engineering. Additionally, I bring a few years of working experience as a Product Manager in technology companies. This interdisciplinary background has shaped the way I think and work. I am comfortable learning new methods, moving between different fields, and asking questions that may sit at the edge of art, psychology, neuroscience, and technology.
