Dr Shujia Zhang

Dr Shujia Zhang

Chief Technology & Data Officer | Co Founder @ Reejig

About Dr Shujia Zhang

Dr. Shujia Zhang serves as the Chief Technology & Data Officer and Co-Founder of Reejig, with over a decade of experience in machine learning and data science. He has contributed significantly to deep learning and graph modeling through his academic and professional endeavors.

Work at Reejig

Dr. Shujia Zhang currently serves as the Chief Technology & Data Officer and Co-Founder at Reejig, a role he has held since 2023. Prior to this position, he worked as the Chief Data Scientist and Co-Founder at the same organization from 2019 to 2023. His work at Reejig focuses on ethical and humane technology, particularly in the area of talent acquisition and workforce development.

Education and Expertise

Dr. Shujia Zhang holds a Doctor of Philosophy (PhD) in machine learning from the University of Wollongong, where he studied from 2008 to 2011. He also earned a Bachelor (Honours) in Information and Communication Technology from the same institution, completing his studies from 2004 to 2007. His academic background includes pioneering research in deep learning and graph modeling, contributing to his expertise in machine learning, data mining, and deep artificial neural networks.

Background

Dr. Shujia Zhang has over 10 years of professional experience in the field of data science. He began his career at the University of Wollongong, where he worked as a Research Assistant and later as a Research Fellow. He transitioned to industry roles, including positions at SafetyCulture, where he held various titles such as Software Engineer, Data Scientist, and Lead Data Scientist, contributing to data analytics and product development initiatives.

Achievements

Throughout his career, Dr. Shujia Zhang has led transformative initiatives at SafetyCulture, focusing on data analytics, insights generation, and the development of recommendation systems. His work has been recognized within the industry, establishing him as an expert in data science. He is also committed to advancing gender balance and shaping the future workforce through his initiatives.

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