When Valeria Kogan started her PhD program in bioinformatics, the scientific field that uses computation and software to analyze biological data, in 2017, she imagined her career would always be within the fields of mathematics, medicine, or biology. But after the first AI boom in the late 2010s, she got an intriguing opportunity in a sector she hadn’t considered: agriculture.
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