Can you tell us about your current role and career pathway?
I am a Computer Scientist who studies deep reinforcement learning, multi-agent systems, interactive machine learning, and curriculum learning. My primary research goal is to develop intelligent agents that can autonomously and efficiently learn optimal control policies in uncertain and dynamic single-agent or multi-agent environments, using reinforcement learning and deep learning techniques, with or without humans in the loop.
I was inspired to study Computer Science to learn more about artificial intelligence and use it to solve real-world problems. After School, I went on to study a Bachelor’s degree in Computer Science at Huazhong University of Science and Technology in Chinahen, and then completed a PhD in Computer Science at Washington State University. Following this, I was a Postdoctoral Researcher at the University of Oxford and a Non-Stipendiary Lecturer in Computer Science at the University of Oxford.
Currently, I am a Lecturer in Artificial Intelligence in the Department of Computer Science at the University of Liverpool. I really enjoy being able to do research that I am passionate about. Their most exciting career role has been advising and mentoring students. They are excited about training students with essential research skills to become independent researchers, while also providing support on developing self-confidence and building successful research careers.
Do you have any advice you'd like to share?
Rejection is the norm in academia and perseverance is one of the most important traits to be successful in research. Continuously and actively building your professional networks to seek collaborative research projects and peer support is crucial in academia.
Why are you passionate about your subject and STEMM?
I am really passionate about my research since developing intelligent systems that can help solve critical real-world problems and are easy for humans to interact and use can benefit our everyday life in so many different ways.