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Synopsis
Learn to approach science as a method of finding the truth, rather than the truth itself, says Gu, 27, an MIT electrical engineering and computer science grad. Starting off by simply googling “epidemiology”, he went on to develop a highly successful Covid-19 model that combines machine learning with a classic infectious-disease simulator.
By Siobhan RobertsThe data scientist Youyang Gu thinks of himself as a realist—he declares it in his Twitter profile: “Presenter of unbiased takes. Realist.”When he noticed the scattershot covid-19 projections last spring—one model projected 2 million US deaths by the summer, another predicted 60,000—Gu questioned whether that was as good as the modeling could be. He decided to take a shot at making a covid-19 model himself. “My whole entire
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