Dian Li

AIDO.ModelGenerator enables rapid, reproducible multimodal foundation model development by integrating datasets, pre-trained models, and experiment recipes to improve biological predictions.

This paper introduces AIDO.DNA, a DNA language model that improves representation of DNA sequences across multiple tasks by scaling model size and training data.

This paper introduces AIDO.RNA, a large-scale foundation model for RNA function and structure prediction, achieving state-of-the-art performance on multiple tasks.

The paper introduces AIDO.Cell, a series of dense Transformer models pre-trained on human single-cell RNA-seq data, achieving state-of-the-art results in clustering, classification, and perturbation modeling.