Jonathan builds frontier models.
He previously did his PhD on machine learning interpretability at the University of Cambridge and contributed to Microsoft's foundation model for materials, Mattergen.
Jonathan builds frontier models.
He previously did his PhD on machine learning interpretability at the University of Cambridge and contributed to Microsoft's foundation model for materials, Mattergen.
Henry builds frontier models.
Previously, he worked at Exscientia on antibody language models. He earned his DPhil from the University of Oxford, conducting research in graph machine learning.
Agrin builds and accelerates frontier models, from training to deployment.
Prior to Latent Labs, he developed causal foundation models and optimized quantization kernels for fast inference at Microsoft Research. Before this he worked on language models for speech generation.
Sebastian builds frontier models.
Previously, he built generative models for biology at Altos Labs, unraveling the causes of aging and disease, after advancing AI for science as a professor and in industry.
Simon builds frontier models.
Previously he completed his PhD at Cambridge, where he focused on generative modeling for protein design, whilst completing research stays at both Absci and the Institute for Protein Design with David Baker.
Amir builds frontier models.
Prior to joining Latent Labs, he earned his PhD at the University of Washington, and completed research stays at Caltech and the Institute for Protein Design with David Baker.
James builds infrastructure and frontier models.
Prior to Latent Labs, James worked on engineering and machine learning at Dreamfold and, before that, on deep learning and large-scale chatbots at Microsoft.