Contributed to 'Llama 2: Open Foundation and Fine-Tuned Chat Models'
Published 'Improving clinical trial design using interpretable machine learning based prediction of early trial termination'
Contributed to 'Galactica: A Large Language Model for Science'
Published 'Assessing Robustness of Text Classification through Maximal Safe Radius Computation'
Research Experience
Meta (2022–present): Research Engineer, contributing to Llama 2, 3, 4, and Galactica projects.
Genie AI (2018–2022): Machine Learning Lead, leading multiple collaborative research initiatives.
Two-year InnovateUK collaboration with Marta Kwiatkowska’s team at Oxford: focused on explainability and robustness in NLP; developed a game-theoretic framework for explaining Transformers, a Monte Carlo tree search method for adversarial robustness assessment, and causal explanation techniques.
Two-year InnovateUK collaboration with the Computational Privacy Group at Imperial College: developed methods to assess vulnerability to authorship attribution attacks on text and potential mitigation strategies.
Signal AI: researched indirect reported speech detection in news articles (identifying unquoted paraphrased statements).
Advised startups AimHi and Lindus Health on machine learning.
Previously founded a legal tech startup through Entrepreneur First (EF, LD10 cohort); gained valuable experience despite the venture’s eventual shutdown.
Early career: Java developer at IBlocks and software engineer at TNG Technology Consulting in Germany.