Roohani, Yusuf

On the Opportunities and Risks of Foundation Models

Bommasani, R., Hudson, D. A., Adeli, E., Altman, R., Arora, S., von Arx, S., Bernstein, M. S., Bohg, J., Bosselut, A., Brunskill, E., et al. (2021) · arXiv

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 2,676

Predicting transcriptional outcomes of novel multigene perturbations with GEARS

Roohani, Y., Huang, K., & Leskovec, J. (2024) · Nature Biotechnology

Gene Regulatory Network AnalysisSingle-cell and spatial transcriptomics

Cited by 355

Artificial intelligence foundation for therapeutic science

Huang, K., Fu, T., Gao, W., Zhao, Y., Roohani, Y., Leskovec, J., Coley, C. W., Xiao, C., Sun, J., & Zitnik, M. (2022) · Nature Chemical Biology

Computational Drug Discovery MethodsArtificial Intelligence in Healthcare and Education

Cited by 207

Biomni: A general-purpose biomedical ai agent

Huang, K., Zhang, S., Wang, H., Qu, Y., Lu, Y., Roohani, Y., Li, R., Qiu, L., Li, G., Zhang, J., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory)

Biomedical Text Mining and OntologiesArtificial Intelligence in Healthcare and Education

Cited by 125

Predicting cellular responses to perturbation across diverse contexts with State

Adduri, A. K., Gautam, D., Bevilacqua, B., Naghipourfar, M., Imran, A., Shah, R., Teyssier, N., Verma, R., Carpenter, C., Eraslan, B., et al. (2026) · Cell

Single-cell and spatial transcriptomicsGene Regulatory Network Analysis

Cited by 100

A large-scale benchmark for network inference from single-cell perturbation data

Chevalley, M., Roohani, Y. H., Mehrjou, A., Leskovec, J., & Schwab, P. (2025) · Communications Biology

Gene Regulatory Network AnalysisBioinformatics and Genomic Networks

Cited by 26