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Joseph Ng

Joseph Ng

Adjunct Assistant Professor

Joseph Ng is a highly accomplished, seasoned senior executive with over two decades of experience across various industries, including financial services, technology, academia, and public sectors. Joseph has consistently demonstrated exceptional leadership and a strategic approach to managing technology strategy, identifying new innovation opportunities, and ensuring the global enterprise's technological infrastructure operates efficiently and effectively.

Joseph's most recent role was as the head of the Global AI Community of Practice at a large financial firm. In this position, he was responsible for overseeing a centralized hub that facilitated the industrialization of AI and ML best practices and introduced new capabilities. As an AI Strategic Council member, Joseph played a critical role in transforming the organization's core operating model by aligning the right talent, culture, and organizational design with the company's technology stack, delivering consistent and repeatable AI practices.

Apart from his executive roles, Joseph is also an adjunct assistant professor at NYU, where he teaches graduate and continuing education courses in information technology and project management for the Department of Management and Technology. He is a sought-after faculty advisor for awards that require institutional nomination, collaborating with NYU's Office of Global Awards to recognize exceptional achievements.

Joseph is a lifelong learner who believes in the power of education to inspire and empower others.

He holds a Master of Science in Management and Systems from NYU and an undergraduate degree from the University at Buffalo, where he majored in Management Information Systems and Marketing. His passion for learning and innovative spirit has earned him a reputation as an emergent technology innovator and entrepreneur, continuously seeking new ways to enhance business processes and drive technological advancements.

Currently Teaching

Statistical Foundations of Data Visualization

This course covers the essentials of the statistical foundations of visualizing data.