Alex engineers next-generation protein design systems.
Prior to Latent Labs he worked on Alphafold 1, 2 and 3 where he built and evaluated models, wired up data pipelines and developed biological software tools.
Alex engineers next-generation protein design systems.
Prior to Latent Labs he worked on Alphafold 1, 2 and 3 where he built and evaluated models, wired up data pipelines and developed biological software tools.
Annette builds the operational cogs, and keeps them turning.
Before Latent Labs, she was a Program Manager in the ‘AI for Science’ team at Google DeepMind managing projects in Genomics, Biochemistry and Quantum chemistry.
Martha leads business development.
She previously held commercial and corporate development roles at Avegen and Pear Therapeutics and commercial strategy and innovation roles at Johnson & Johnson.
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.
Mária enables and elevates the team behind our technology.
Previously, she led a broad range of operational initiatives across various sectors including education and consumer technology.
Krish leads on people and talent.
Prior to this he was a Talent Acquisition Lead at DeepMind, Alphabet, and a Hedge Fund, where he led programmes to attract, engage and retain talent.
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.
Daniella designs proteins using frontier models.
Previously, she completed her PhD at Imperial, where she designed and experimentally validated novel proteins, whilst also completing a research stay at MIT with Sergey Ovchinnikov.