Payal featured by Computer Science Department

TLab member Payal Chandak was featured by the Department of Computer Science for her work on characterizing the differences in adverse drug effect reporting between men and women. Payal invented a method for data mining the FDA’s Adverse Event Reporting System to look for biases along reported sex that resulted in significantly different safety signals. Through a combination of machine learning and large-scale statistical analysis she was able to identify 20,817 sex risks which were consistent with known pharmacogene expression differences.