Master’s Student in Biomedical InformaticsMachine Learning, Data Science, and Computational Biology
PhD Student, University of PadovaEpidemiology, Pharmacoepidemiology, Medical Statistics
The entire Tatonetti Lab is proud to congratulate Catherine Kim on her top three placing at the Society for Science and Regeneron International Student Scientist Competition. Catherin was awarded the a Regeneron Young Scientist Award with a cash prize of $50,000 for her work in the Tatonetti Lab titled “Novel Prediction of Adverse Drug Reactions and Underlying […]
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. […]
Adverse drug effects posing sex-specific risks. Risks in this database were predicted by AwareDX to publicly available data. Over 20,000 sex risks spanning over 800 drugs and 300 side effects. Download the data or browse the repository.