Dr. Shujia Zhang
About Dr. Shujia Zhang
Dr. Shujia Zhang is the Chief Technology & Data Officer and Co-Founder of Reejig, with over 10 years of experience in machine learning and data science. He has a strong academic background, holding a PhD in machine learning and has previously held roles at SafetyCulture and the University of Wollongong.
Work at Reejig
Dr. Shujia Zhang currently serves as the Chief Technology & Data Officer and Co-Founder at Reejig, a position he has held since 2023. In this role, he focuses on leveraging technology and data to enhance the company's mission. His work emphasizes ethical and humane technology, aiming to improve talent acquisition and workforce development.
Previous Experience in Data Science
Before joining Reejig, Dr. Zhang worked at SafetyCulture in various capacities. He started as a Data Scientist from 2016 to 2017, where he contributed to data analytics and insights generation. He then progressed to Lead Data Scientist from 2017 to 2019, leading initiatives in recommendation systems and OCR-based product development. His experience at SafetyCulture spanned a total of three years.
Academic Background and Research
Dr. Zhang has a strong academic foundation, having earned a Doctor of Philosophy (PhD) in machine learning from the University of Wollongong from 2008 to 2011. His research focused on Impact Sensitive Ranking of Structured Documents. He also worked at the University of Wollongong as a Research Fellow from 2012 to 2015 and as a Research Assistant from 2007 to 2008, where he pioneered research in deep learning and graph modeling.
Education and Expertise
Dr. Zhang holds a Bachelor (Honours) degree in Information and Communication Technology from the University of Wollongong, completed from 2004 to 2007. His expertise spans over 10 years in machine learning, data mining, deep artificial neural networks, and graph modeling. He is recognized in the industry for his contributions to data science and technology.
Commitment to Gender Balance
Dr. Zhang is dedicated to accelerating progress in gender balance within the technology sector. He aims to shape the workforces of the future by promoting inclusive practices and ethical approaches in technology and data management.