Lui, Rachel K.W.
Assistant Dean (e-Learning), Faculty of Science
Associate Professor of Teaching, Faculty of Science

Affiliations
PhD, SFHEA
Interests
Data Science; Artificial Intelligence
Awards
The University Outstanding Teaching Award 2022
The Faculty Award for Teaching Excellence 2021
Faculty Advisor of COMAP Interdisciplinary Contest in Modeling - Meritorious Winners (top 8% out of 11,262 teams worldwide) 2019
The Faculty Award for Teaching Innovations in E-learning 2017
The Faculty Knowledge Exchange Award 2014
Bio
Professor Rachel Lui is currently an Associate Professor of Teaching and serves as an Assistant Dean (e-learning) in the Faculty of Science. She has actively explored various teaching methods, such as flipped classrooms and gamification, and has been awarded numerous Teaching Development Grants. Her primary focus is on teaching Data Science and Artificial Intelligence to undergraduate students. Throughout her career, Rachel has earned multiple accolades, including the Faculty Knowledge Exchange Award in 2014, the Faculty Award for Teaching Innovations in E-learning in 2016, and the Faculty Award for Teaching Excellence in 2021. She also received the University Outstanding Teaching Award in 2022. In 2019, she became a Senior Fellow of Advance HE (SFHEA). Additionally, she is one of the inaugural members of the HKU Teaching & Learning Academy.
Rachel has been deeply involved in a variety of innovative teaching projects aimed at enhancing the learning experience for students in science and mathematics. She has developed several educational apps designed to gamify science and mathematics courses, making these subjects more engaging and interactive for learners. Her efforts in promoting STEM education are exemplified by her use of Arduino to teach scientific concepts, thereby offering hands-on learning opportunities that bridge theoretical knowledge with practical application.
Furthermore, under the HKU Teaching Exchange Fellowship Scheme, Rachel explored the use of Learning Glass at UCLA, a cutting-edge teaching technology that enhances the delivery of complex material, making it more accessible and visually appealing to students. In addition to these initiatives, Rachel led a group of students in developing a project on Kickstarter—a robot dragon-racer aimed at nurturing children's STEM and programming skills. Through these diverse initiatives, Rachel demonstrates her commitment to innovative teaching methods and her dedication to improving educational outcomes in STEM fields.
In her leisure time, Rachel enjoys playing the piano, listening to classical music, watching anime, and reading detective stories. She is also an amateur photographer, capturing moments through her lens with an artistic eye. She is also an active participant of Kaggle competitions.

