Dr. LePendu’s research has focused on Biomedical Informatics through the large-scale analysis of electronic medical data, making significant contributions in pharmacovigilance and electronic phenotyping. In particular, he specializes in large-scale text mining of doctor's notes. Currently, he is looking at technologies that blend knowledge representation in medicine with learning. For example, we are creating a benchmark for medical knowledge, which might be used to test the accuracy of large language models like ChatGPT.

For more information, please contact Dr. LePendu. PiLabs is always recruiting self-motivated undergraduates who excel at independent inquiry.