Dr. George Boateng

Dr.  George Boateng

Dr. George Boateng

Lecturer at the Department of Management, Technology, and Economics

ETH Zürich

Professur Informationsmanagement

WEV G 219

Weinbergstr. 56/58

8092 Zürich

Switzerland

Additional information

Research area

Ubiquitous Computing, Mobile Computing, Wearable Computing, Applied Machine Learning, Mobile Health, Digital Biomarkers, Computer Science Education, AI in Education

CV PDF

Membership

Since Membership
Association for Computing Machinery (ACM)

Honours

Year Distinction
2023 2023 Forbes 30 Under 30 Europe
2021 2021 MIT Technology Review’s 35 Innovators Under 35
2017 Thayer School of Engineering Dean’s Service Award
2016 Ernest Everett Just Award in Mathematics and the Sciences

Additional information

Dr. George Jojo Boateng is a Computer Scientist, Engineer, Educator, and Social Entrepreneur recognized as one of the 2023 Forbes 30 Under 30 Europe, 2022 IBM New Creators, and 2021 MIT Technology Review’s 35 Innovators Under 35. He is an Established Researcher (focus on Digital Biomarkers), Core Director of  Wearable AI for Rheumatoid Arthritis Management (WARAM), and Lecturer of the #AI4Impact course at ETH Zurich, Switzerland. His research spans ubiquitous computing (mobile and wearable), applied machine learning, mobile health, and education, and has resulted in 35+ peer-reviewed publications in international conferences and journals. 

He is also the CEO and Cofounder of Kwame AI Inc., an AI start-up that empowers learners and knowledge workers (e.g., educators, researchers, lawyers) with their personal knowledge assistants to improve their outcomes and productivity significantly. Kwame AI has AI assistants: Adesua (science education), SuaCode (coding education), Eskwai (legal research) and runs community support initiatives: AfricAIED, a workshop on AI in Education in Africa, and Brilla AI, an open-source project building an AI Contestant for Ghana's National Science and Math Quiz (NSMQ). 

He previously worked as a Visiting Researcher at the University of Cambridge, U.K., and as an Applied Scientist at Amazon (Alexa AI). He has a  PhD in Applied Machine Learning from ETH Zurich, Switzerland, and a BA in Computer Science and an MS in Computer Engineering from Dartmouth College, U.S., where he graduated with the Thayer School of Engineering Dean’s Service Award and the Ernest Everett Just Award in Mathematics and the Sciences.

Course Catalogue

Spring Semester 2025

Number Unit
363-1191-00L #AI4Impact: Machine Learning for Social Impact
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