Developing datasets to train and test AI models for Chemistry. Developing, training, and scaling AI models for Chemistry in PyTorch. Running large-scale chemistry simulations. Developing processes to feedback experimental results into chemistry models. Efficiency optimization of classic and ML based chemistry software. Writing research papers and associated open source data and code releases.