PiLabs

Computer Science & Engineering

Bourns Hall, A159-D(509) 301-2153paea.lependu@ucr.edu

An Associate Teaching Professor in the Department of Computer Science & Engineering at the University of California, Riverside, Dr. Paea LePendu studies applications of Biomedical Informatics. Editors at Nature have said that his work "advances the state of the art in pharmacovigilance."

Two notable publications you might take a look at include:

You can also find out more about my work on LinkedIn or Google Scholar.

Biomedical Informatics

Electronic Health Records, Medical Lexicons, Pharmacovigilance and Population Health

Artificial Intelligence

Natural Language Processing, Automated Reasoning, Machine Learning and Data Mining

Databases

Structured & Unstructured Data,  Large-scale Knowledge-based Search and Retrieval

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.

PiLabs partners with the Riverside Unified School District to host the Data Science Academy for middle and high school students. We host multiple cohorts each year, including weekends and summers.

Computer Science & Engineering

Bourns Hall, A159-D

(509) 301-2153

paea.lependu@ucr.edu