Ward, Tom

AlphaGenome: advancing regulatory variant effect prediction with a unified DNA sequence model

Avsec, Ž., Latysheva, N., Cheng, J., Novati, G., Taylor, K. R., Ward, T., Bycroft, C., Nicolaisen, L., Arvaniti, E., Pan, J., et al. (2025) · Nature

Genomics and Chromatin DynamicsGenetic Associations and Epidemiology

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Advancing regulatory variant effect prediction with AlphaGenome

Avsec, Ž., Latysheva, N., Cheng, J., Novati, G., Taylor, K. R., Ward, T., Bycroft, C., Nicolaisen, L., Arvaniti, E., Pan, J., et al. (2026) · Nature

Genomics and Chromatin DynamicsGenetic Associations and Epidemiology

Cited by 373

DeepMind Lab

Beattie, C., Leibo, J. Z., Teplyashin, D., Ward, T., Wainwright, M., Küttler, H., Lefrancq, A., Green, S., Valdés, V., Sadik, A., et al. (2016) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

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Using Unity to Help Solve Intelligence

Ward, T., Bolt, A., Hemmings, N., Carter, S., Sanchez, M., Barreira, R., Noury, S., Anderson, K., Lemmon, J., Coe, J., et al. (2020) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 6