Matthew Stewart is a Ph.D. candidate in the Atmospheric Chemistry Laboratory at the School of Engineering and Applied Sciences at Harvard University. He holds an integrated BEng/MEng in Mechanical Engineering from Imperial College London and also studied abroad at the National University of Singapore. He holds an MsC from Harvard in Engineering Sciences and is currently pursuing a doctoral degree in Environmental Science with a secondary in Data Science. 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 prolific blogger for Towards Data Science.
His research aims to develop drone-based real-time chemical monitoring systems that can be used to study the chemical composition of the atmosphere above the Amazon Rainforest. Tropical rainforests emit a large array of organic chemicals which constitute the majority of organic emissions on Earth, and these emissions are important drivers for ozone, aerosol and pollutant formation. Distributed sensor networks would provide humanity with a way of obtaining in-situ chemical measurements to obtain more reliable estimates of chemical emissions.
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 2018-2020