Joshua Bambrick
Researcher building AI for drug design at Isomorphic Labs.
About Joshua
Researcher with over ten years' experience in the tech industry, focused primarily on applied AI research.
Having started with my own enterprise in 2009, I subsequently obtained two degrees from Cambridge. After graduation, I was recruited by Bloomberg as the London Machine Learning team's youngest researcher. I co-led the research and development of a multi-document summarisation system which became the company's 'poster child' AI product and I was joint Chairman of Bloomberg's 1,000-member Machine Learning Guild.
I now work to revolutionise the drug design process using AI at Isomorphic Labs, a startup under the Alphabet umbrella. In 2024, we published AlphaFold 3, a major leap forward in AI for structural biology.
Experience
| 2022 – | Isomorphic Labs | Senior AI Research Engineer |
| IsoLabs is an Alphabet company led by DeepMind co-founder Demis Hassabis. | ||
| Hired as IsoLabs' second researcher to work on improving AlphaFold as part of core ML research. | ||
| Led numerous research projects with a focus on controllability and diffusion models. | ||
| Two such projects I proposed and spearheaded directly led to the largest improvements in the performance of AlphaFold on our leaderboard in both 2023 and 2024. | ||
| Also responsible for ensuring code health, orchestrating model deployment and collaborating directly with end users. | ||
| Created a series of tutorials to teach Chemists the basics of ML. Presented up to C-suite level and to all new hires. | ||
| 2017 – 2022 | Bloomberg | Senior AI Research Scientist & Engineer |
| The youngest recruit to Bloomberg's ML team in London. | ||
| Lead scientist & engineer for the Key News Themes application (multi-document summarisation). | ||
| Joint Chairman of the 1,000-member Machine Learning Guild. | ||
| 2016 | University of Cambridge | Machine Learning Research Intern |
| 2015 | Amazon | Software Engineering (ML) Intern |
| 2012 – 2014 | EnerGenius | Head Software Engineer |
| 2009 – 2011 | Sqoshsoft | Project Director |
Publications
| 2024 | Accurate structure prediction of biomolecular interactions with AlphaFold 3 | Nature |
| J. Abramson, J. Adler, J. Dunger, R. Evans, T. Green, A. Pritzel, O. Ronneberger, L. Willmore, A. J. Ballard, J. Bambrick, ..., D. Hassabis, J. M. Jumper | ||
| 2023 | PEP 736 — Shorthand syntax for keyword arguments at invocation | |
| J. Bambrick, C. Angelico | ||
| 2022 | Falsesum: Generating Document-level NLI Examples for Recognizing Factual Inconsistency in Summarization | NAACL |
| P. A. Utama, J. Bambrick, N. S. Moosavi, I. Gurevych | ||
| 2020 | NSTM: Real-Time Query-Driven News Overview Composition at Bloomberg | ACL |
| J. Bambrick, M. Xu, A. Almonte, I. Malioutov, G. Perarnau, V. Selo, I. C. Chan | ||
Education
| 2016 – 2017 | University of Cambridge |
| Machine Learning & NLP (MEng) | Distinction |
| 2013 – 2016 | University of Cambridge |
| Computer Science (BA) | Double First Class |
| Elected as Scholar of Jesus College | |
| Carruthers Prize (for graduating first in the class in college) | |