‘*’ Those authors contributed equally.
Publications
‘*’ Those authors contributed equally.
Latest News
May 2022: George Named the 2022 Wojcicki Troper Fellow
Congratulations to George Dasoulas, our incoming postdoctoral fellow, on being named the 2022 Wojcicki Troper HDSI Postdoctoral Fellow. We are delighted to welcome George in our group.
May 2022: New preprint on PrimeKG
New preprint on building knowledge graphs to enable precision medicine applications.
May 2022: PrimeKG: Precision Medicine KG
Apr 2022: Webster on the Cover of Cell Systems
Webster is on the cover of April issue of Cell Systems. Webster uses cell viability changes following gene perturbation to automatically learn cellular functions and pathways from data.
Apr 2022: NASA Space Biology
Dr. Zitnik will serve on the Science Working Group at NASA Space Biology.
Mar 2022: Yasha's Graduate Research Fellowship
Yasha won the National Defense Science and Engineering Graduate (NDSEG) Fellowship. Congratulations!
Mar 2022: AI4Science at ICML 2022
We are excited to be selected to organize the AI4Science meeting at ICML 2022. Stay tuned for details. http://www.ai4science.net/icml22
Mar 2022: Graph Algorithms in Biomedicine at PSB 2023
Excited to be organizing a session on Graph Algorithms at PSB 2023. Stay tuned for details.
Mar 2022: Multimodal Learning on Graphs
New preprint! We introduce REMAP, a multimodal AI approach for disease relation extraction and classification. Project website.
Feb 2022: Explainable Graph AI on the Capitol Hill
Owen has been selected to present our research on explainable biomedical AI to members of the US Congress at the “Posters on the Hill” symposium. Congrats Owen!
Feb 2022: Graph Neural Networks for Time Series
Hot off the press at ICLR 2022. Check out Raindrop, our graph neural network with unique predictive capability to learn from irregular time series. Project website.
Feb 2022: Biomedical Graph ML Tutorial Accepted to ISMB
Excited to present a tutorial at ISMB 2022 on graph representation learning for precision medicine. Congratulations, Michelle!
Feb 2022: Marissa Won the Gates Cambridge Scholarship
Marissa Sumathipala is among the 23 outstanding US scholars selected be part of the 2022 class of Gates Cambridge Scholars at the University of Cambridge. Congratulations, Marissa!
Jan 2022: Inferring Gene Multifunctionality
Hot off the press in Cell Systems. Webster is a tool to infer gene multifunctionality from high-dimensional gene perturbation data by applying sparse representation learning to large CRISPR-Cas9 fitness screens. Explore Webster’s web portal.
Jan 2022: Deep Graph AI for Time Series Accepted to ICLR
Paper on graph representation learning for time series accepted to ICLR. Congratulations, Xiang!
Jan 2022: Probing GNN Explainers Accepted to AISTATS
Paper on probing GNN explainers through rigorous theoretical and empirical analysis of GNN explanation methods accepted to AISTATS. Congratulations, Chirag!
Jan 2022: Marissa Sumathipala selected as Churchill Scholar
Marissa Sumathipala is selected for the prestigious Churchill Scholarship. Congratulations, Marissa!
Jan 2022: Therapeutics Data Commons User Meetup
We invite you to join the growing open-science community at the User Group Meetup of Therapeutics Data Commons! Register for the first live user group meeting on Tuesday, January 25 at 11:00 AM EST.
Jan 2022: Workshop on Graph Learning Benchmarks
Submit your papers to our Workshop on Graph Learning Benchmarks organized at The Web Conference (WWW). Call for papers!
Dec 2021: NASA: Precision Space Health System
Human space exploration beyond low Earth orbit will involve missions of significant distance and duration. To effectively mitigate myriad space health hazards, paradigm shifts in data and space health systems are necessary to enable Earth independence. Delighted to be working with NASA and can share our recommendations!
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