Michael is a highly motivated and passionate individual who has always been interested in conservation and education. After completing his International Baccalaureate Diploma at Sha Tin College, he pursued his love for ecology and biodiversity by obtaining a Bachelor's degree in Ecology & Biodiversity from the University of Hong Kong. During his time at the university, he demonstrated exceptional academic achievement and was awarded a scholarship for his outstanding performance.

After completing his degree, Michael began his career as a tutor and has since gained extensive experience in instructing students in Science, English Literature and Language, and Geography. He is committed to helping his students achieve their academic goals and provides a supportive and engaging learning environment.

Michael's teaching style is highly engaging and personalized, and he strives to create a positive and inclusive learning environment. He understands that every student is unique and works closely with each individual to tailor his teaching approach to their specific needs and learning styles. His dedication and passion for education have earned him a reputation as an outstanding tutor and mentor.

Mr Kwan is proficient in teaching Biology. Mr Kwan has over 10 years of experience in teaching Biology in various international syllabi including IGCSE, GCE A-level, IB and SAT Biology and thus he could understanding the learning need of a wide range of students with various academic backgrounds. He is passionate in helping students to achieve academic excellence.

Tin is a graduate of Medical Sciences from the University of Birmingham, and is a current medical student at the Chinese University of Hong Kong. Having been through the IBDP program, Tin understands what students need to do in order to succeed. Tin is capable and familiar with the teachings of IGCSE and IB for mathematics, biology, chemistry and psychology. Along with his academic rigour, he believes his teaching can bolster students’ confidence through explaining concepts clearly and active-recall learning methods.