17 Education & Technology Group adds Minghui Wu to its Board as Independent Director

– CHINA, Beijing –  17 Education & Technology Group Inc. (Nasdaq: YQ), a leading education technology company in China with an “in-school + after-school” integrated model, today announced the appointment of Minghui Wu to its Board as an independent director, effective on December 2, 2021, bringing the board to seven directors, three of whom are independent.

About Minghui Wu

Mr. Wu is chairman and CEO of MiningLamp Technology Co Ltd., a leading artificial intelligence and data analytics company he founded in 2014 that helps public service organizations and businesses with digital transformation. Before founding MiningLamp, Mr. Wu founded Miaozhen Systems in 2006, a platform for internet user behavior and marketing analytics, and served as its chairman until it was acquired by Mining Lamp in 2019.

Mr. Wu is also a joint creator of the HAO AI theoretical framework. Mr. Wu has 20 years of experience in software engineering and research, and holds more than 130 patents in China and internationally.

Mr. Wu received a B.S. degree in fundamental mathematics and an M.S. degree in computer software and theory from Peking University. Mr. Wu is currently a Ph.D. candidate at the School of Software & Microelectronics at Peking University.

About 17 Education & Technology Group Inc.

17 Education & Technology Group Inc. is a leading education technology company in China with an “in-school + after-school” integrated model. The Company provides a smart in-school classroom solution that delivers data-driven teaching, learning, and assessment products to teachers, students, and parents, covering over 70,000 K-12 schools in 2020.

Leveraging the Company’s in-school leadership, 17EdTech offers online K-12 large-class after-school tutoring services that complement students’ in-school learning. Powered by its integrated model and technology, 17EdTech’s online K-12 large-class after-school tutoring courses stand out in terms of its unique approach to personalization, realized through a data-driven understanding of individual students’ in-school performance, as well as district-level localized insights.

For more information: https://ir.17zuoye.com/

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