Presentation description

My research revolves around creating methods for designing machine learning models that can interpret 3D ligand-receptor binding models which are based based on real world data. We can then train these machine learning models to point towards which ligands/odorants have the greatest chance of successfully binding to the receptors of their insect of interest before conducting lab or field trials. This can also give researchers a better idea of what types of molecules best fit what receptors.