Congrats to PhD student Michelle on being selected as the 2023 Albert J. Ryan Fellow and also to participate in the Heidelberg Laureate Forum. Congratulations to PhD student Ada for being selected as the Kempner Institute Graduate Fellow!

New paper introducing the first model for closed-set and universal domain adaptation on time series accepted at ICML 2023. Raincoat addresses feature and label shifts and can detect private labels. Project website.

Undergraduate researchers Ziyuan, Nick, Yepeng, Jiali, Julia, and Marissa are moving onto their PhD research in Computer Science, Systems Biology, Neuroscience, and Biological & Medical Sciences at Harvard, MIT, Carnegie Mellon University, and UMass Lowell. We are excited for the bright future they created for themselves.

An enthusiastic welcome to Tianlong Chen, our newly appointed postdoctoral fellow.

New paper in Nature Machine Intelligence introducing the blueprint for multimodal learning with graphs.

New paper with NASA in Nature Machine Intelligence on biomonitoring and precision health in deep space supported by artificial intelligence.

New paper with NASA in Nature Machine Intelligence on biological research and self-driving labs in deep space supported by artificial intelligence.

New study on zero-shot prediction of therapeutic use with geometric deep learning and clinician centered design. Check out our project website and TxGNN Explorer.

Our approach evaluating explainability of geometric deep learning models is published in Scientific Data. Project website.

A warm welcome to postdoctoral fellows Wanxiang Shen and Ruth Johnson. Congratulations to Ruthie for being named a Berkowitz Fellow.

New preprint on domain adaptation for time series under feature and label shifts. Project website.

Our multimodal knowledge graph for precision medicine is published in Scientific Data. Project website.

New paper on machine unlearning for graph neural networks accepted at ICLR 2023. Project website.

New paper introducing mutual interactor-based GNN for molecular phenotype prediction at PSB. Project website.

New preprint! Geometric deep learning for diagnosing patients with rare genetic diseases. Implications for using deep learning on sparsely-labeled medical datasets. Thankful for this collaboration with Zak Lab. Project website.

Our conversation with Harvard Medicine News highlights recent developments and new features in Therapeutics Data Commons.

New paper on graph representation learning in biomedicine and healthcare published in Nature Biomedical Engineering.

Our paper on artificial intelligence foundation for therapeutic science is published in Nature Chemical Biology.

New paper on self-supervised contrastive pre-training accepted at NeurIPS 2022. Project page. Thankful for this collaboration with the Lincoln National Laboratory.

Our paper on user-centric AI of drug repurposing received the Best Paper Honorable Mention Award at IEEE VIS 2022. Thankful for this collaboration with Gehlenborg Lab.