Personal profile

Biography

Kai-Jun See is an Assistant Lecturer in the School of Information Technology, Monash University Malaysia. He received his Bachelor of Science with Honors (Statistics) from National University of Malaysia in 2016 and his Master of Data Science from University of Malaya in 2019. He joined Monash University Malaysia in 2022 for his doctoral studies under the supervision of A/Prof Chee-Ming Ting, Prof Raphaël Phan and Dr Fuad Noman. His research focuses on community detection in brain networks using deep learning approach. Before joining Monash University Malaysia, he worked as a data professional in fintech, automation, media and banking industry for a total of more than 5 years.

Monash teaching commitment

  • FIT1043 Introduction to Data Science
  • FIT3152 Data Analytics

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Education/Academic qualification

Data Science, Master, Universiti Malaya (University of Malaya)

20172019

Award Date: 22 Aug 2019

Statistics, Bachelor, Universiti Kebangsaan Malaysia (National University of Malaysia)

20132016

Award Date: 5 Nov 2016

Research area keywords

  • Deep Learning
  • Statistical Modeling
  • Network Science
  • Time Series
  • Connectomics