New paper is out! "A biology-based quality-diversity algorithm for drug repurposing in Alzheimer’s disease using automated machine learning" An exciting project combining knowledge graphs, graph neural networks, evolutionary algorithms, MAP-Elites link.springer.com/article/10.1...

Our automl package TPOT has just reached 10k stars on github! This places TPOT among the top 3,000 highest-ranked repositories, coming in at rank 2,956. github.com/EpistasisLab... #automl #machinelearning #ai #datascience

The tree-based pipeline optimization tool: Tackling biomedical research problems with genetic programming and automated machine learning www.sciencedirect.com/science/arti...

TPOT = Tree-based Pipeline Optimization Tool. Consider TPOT your Data Science Assistant. TPOT is an open-source Automated Machine Learning (AutoML) tool that optimizes ML pipelines using genetic programming github.com/EpistasisLab... #tpot #automl #machinelearning #datascience

The TPOT2 AutoML package I developed at Cedars-Sinai has received another citation in the paper: "Biologically Enhanced Machine Learning Model to Uncover Novel Gene-Drug Targets for Alzheimer's Disease." Excited to see my project being used in research!

For the past three years, I've had the privilege of working at Cedars-Sinai's Department of Computational Biomedicine, where I was one of the first employees. I'm grateful for the opportunity to contribute to a growing department. A highlight was leading the development of TPOT2.