It’s not often the case that statisticians have an advanced understanding of genomics, but it’s exactly this combination of expertise that has Eugene Katsevich, assistant professor of statistics and data science at the Wharton School, making waves with his team’s new software package, SCEPTRE. At its core, SCEPTRE is a free, easy-to-use statistical tool that biologists can utilize to uncover correlations between certain genetic variants and their impact on disease risk. Understanding these correlations can help scientists accelerate the speed, and improve the effectiveness, with which they are able to treat a number of diseases. …Read More