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!
Let's connect and explore new ideas together! Follow me for updates on my latest research papers
Next, looking forward to my new role as a Data Scientist in a joint appointment with the cardiology departments of Mass General Hospital and Beth Israel Deaconess Medical Center! In this role, I will lead ML for clinical and translational research focused on cardiovascular disease and women's health
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.