About Me

Hi — people from the Internet. I am Shikun Liu (刘诗昆 in Chinese characters), a fourth-year Ph.D. student in Machine Learning and AI, 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.

I am currently looking for industrial Research Scientist or Postdoctoral Researcher positions starting from Spring/Summer 2024, preferably based in London. Please reach out if you have openings or find me a good fit.

My research interests are mostly related to representation learning and generative AI, with a focus on self-supervised, multi-task and multi-modal learning settings. Specifically, I am currently interested in and working on these following topics: 1. Self-supervised, multi-task representation learning, neural architecture designs and optimisation strategies, aiming for general-purpose perception and reasoning; 2. Generative AI for text, 2D/3D vision, videos and multi-modal data. Additionally, I am a strong advocate for reproducible and open science, for which I have open-sourced and actively maintained all my research projects in my personal GitHub.

Apart from research, I especially enjoy arts and design, particularly in architecture, graphics, typography and generative arts. I have been mostly influenced by Kenya Hara, Dieter Rams, Hermann Zapf and Louis Khan, endorsing unobtrusive and minimal design principles. I also occasionally spend time building and collecting bespoke mechanical keyboards.