Justin Chau
About Justin Chau
Justin Chau is a data scientist with a background in Electrical and Biomedical Engineering from McMaster University. He specializes in using data analytics and machine learning techniques to improve public health outcomes.
Work at Ontario Ministry of Health
Justin Chau currently holds the position of Data Scientist at the Ontario Ministry of Health. He has been in this role since 2021, focusing on utilizing data analytics to tackle public health challenges. His work involves applying machine learning techniques to healthcare data, aiming to enhance patient outcomes. Prior to this position, he served as a Data Scientist Intern at the same ministry from 2020 to 2021, where he contributed to various projects related to health data analysis.
Previous Experience at McMaster University
Justin Chau worked as a Junior Statistical Analyst at McMaster University from 2017 to 2018. This role lasted for 11 months and was based in Hamilton, Ontario. During his time at McMaster, he gained valuable experience in statistical analysis, which laid the groundwork for his future endeavors in data science and analytics.
Education in Electrical and Biomedical Engineering
Justin Chau earned his Bachelor of Engineering degree in Electrical and Biomedical Engineering from McMaster University. His studies spanned from 2014 to 2019, providing him with a solid foundation in engineering principles and applications. This educational background supports his current focus on data analytics in the healthcare sector.
Internship Experience at Legal Aid Ontario
In 2016, Justin Chau completed a three-month internship as an Information Technology Intern at Legal Aid Ontario. This experience contributed to his understanding of technology applications in various sectors, further enhancing his skill set in data management and analysis.
Focus on Healthcare Data Analytics
Justin Chau specializes in the application of machine learning techniques to healthcare data. His work is centered on improving patient outcomes through data-driven insights. He has participated in projects that involve the development of predictive models aimed at optimizing healthcare resource allocation, demonstrating his commitment to addressing public health challenges through innovative data solutions.