Paul E. Anderson

The paper uses neural networks with topological data analysis to classify human induced pluripotent stem cell colonies by treatment condition, achieving performance comparable to ResNet.

This study compares temporal deep learning models for classifying sequences of cell colony images to understand cellular state transitions.

This paper uses large language models and ontology-driven strategies to improve link prediction and entity resolution in knowledge graphs for chronic lower back pain research.

This study assembles and annotates the genome of Botrylloides violaceus using hybrid sequencing and performs comparative genomic analysis to identify conserved and divergent gene families.