Machine learning to accelerate discovery of antimalarial properties in plants
A new study finds that machine learning could speed up the discovery of plants...
We develop computational methods and software to study evolutionary processes across different organisms including plants, vertebrates, and invertebrate groups and ultimately understand biodiversity changes across space and time.
We use phylogenetic and fossil data to answer different questions in macroevolution:
To tackle these questions we develop new models using Bayesian methods and machine learning.