Matthew Stewart is a postdoctoral researcher in the Edge Computing Lab at Harvard University. He holds a Ph.D. and MSc in Engineering Sciences and Data Science from Harvard University, and an integrated BEng/MEng in Mechanical Engineering from Imperial College London, with his final year completed at the National University of Singapore.
Matthew's research work is highly interdisciplinary, developing flexible microcontrollers capable of running lightweight machine learning models, as well as photonics-based autonomous vehicles, benchmarking tools for reinforcement learning and robotics, neuromorphic computing, data-model co-design, sustainable computing, and machine learning sensors.
Matthew is also a part-time AI consultant for Critical Future and has worked with fintech, real estate, and e-commerce companies helping them to leverage artificial intelligence to enhance their business operations. He is also a blogger for Towards Data Science and a member of the Institute of Mechanical Engineering, British Computing Society, the Association for Computing Machinery, and MLCommons.
Ph.D. in Environmental Science and Data Science, In Progress
MSc in Engineering Sciences, 2020
Integrated BEng/MEng in Mechanical Engineering, 2017
Imperial College London/National University of Singapore
Critical FutureDates: [01/06/2019 - Present]
Scalable MagicDates: [10/20/2019 - 03/15/2020]
ClimaCellDates: [01/06/2019 - 05/09/2019]
[Teaching Fellow] ES120: Engineering by Case Study. School of Engineering and Applied Sciences, Harvard University. Spring 2018-2021