Like plenty of science-oriented high school kids, Andrew Jin is interested in human evolution. But Jin, one of three $150,000 first-place winners in this year's Intel Science Talent Search, took that interest further than most. For his project, the high school senior came up with machine learning algorithms that detect mutations in the human genome—mutations that could one day be used to develop drugs to combat diseases like HIV and schizophrenia.