Bin Yu, Professor of Statistics and Electrical Engineering and Computer Sciences at UC Berkeley, and her team of graduate students published a research paper recounting their “warlike two-month engagement” aiding in efforts to battle COVID-19. The goal of the project was to utilize data science and statistics to optimize effectiveness in personal protective equipment distribution. According to the paper, the team’s predictions helped inform the shipment of at least 349,000 face shields to doctors and healthcare workers through non-profit Response4Life and Maker Nexus. Yu and her team describe seven key principles learned from their efforts.
Read more about it here.
