João Matos
Portuguese, 22, and master’s student of Biomedical Engineering at the University of Porto. My name is João Matos and I am passionate about traveling, having lived in 4 different countries. I am currently living in Japan and I will move to the US in October to develop my master’s thesis at MIT. As a Biomedical Engineering to-be, I want to bring AI and clinical data together to improve healthcare and people’s quality of life. Driven by delivering a good impact with my analytical and technical skills, I am also interested in solving sustainability and societal issues. I was President of ShARE-UP, a Do Well Do Good international consulting club that promotes social progress. More recently, alongside my teammates, I won a couple of datathons with challenges that tackled some of the United Nations’ Sustainable Development Goals.
Sessions
Python, as a one-stop-shop for Machine Learning, Geospatial Analytics, Optimization Algorithms, and Visualization Tools, can be leveraged to create a simple yet effective sustainability decision-making methodology with just four steps: Geospatial Indexing, Feature Engineering, Predictive Scoring, and Score Optimization.
With it, it's possible to tackle distinct sustainable development issues, from mobility transition to light pollution in a way that decision-makers can quickly implement it to take action for the Sustainable Development Goals.