About Me

Hi — people from the Internet. I am Shikun Liu (刘诗昆 in Chinese characters), a fourth-year Ph.D. student in robotics, studying at Imperial College London. I am currently affiliated to the Dyson Robotics Lab, where I am co-advised by Edward Johns and Andrew J. Davison. I completed my Master of Research degree with Distinction at the same lab working on multi-task and auxiliary learning. Prior to joining Imperial College, I obtained my Bachelor degrees in Mathematics and Electrical Engineering at Penn State - Schreyer Honors College. My research is generously funded by Dyson.

My research focus is on developing generally capable learning systems for multi-task and multi-modal perception, reasoning, generation, and control, across various data domains, such as text, images, videos, and sensory data. Specifically, I am interested in and currently working on these following topics: 1. multi-task/multi-modal relationships, representation learning, and optimisation strategies; 2. scalable and domain-agnostic neural architecture design; 3. self-supervised skill discovery with open-ended exploration.

I like drawing beautiful diagrams and all sorts of formats for data visualisation. And I am a strong advocate of reproducible and open machine learning research, for which I have open-sourced all my research projects in my GitHub. Apart from research, I enjoy arts and design, particularly in architecture, illustration, typography and generative arts. I occasionally also spend time building and collecting bespoke mechanical keyboards.