GraemeNail

Research Engineer

Advancing foundation language models (including Llama 3 and 4) at Meta SuperIntelligence Labs, with contributions spanning model optimization (distillation, pruning, reasoning, efficiency, scaling) and high-quality data curation for web and multilingual domains. [PyTorch, PySpark, Python, C++]

Senior Machine Translation Scientist

Designed end-to-end approaches at a start-up to deliver robust, efficient machine translation models optimized for on-device usage, covering the full lifecycle from data bitexting and augmentation to model training, distillation, quantization, and evaluation. [C++, Python, HPC]

Postdoctoral Research Associate (StatMT)

Engineered neural machine translation pipelines, from developing tooling for data, systems for bitext mining, to implementing model optimizations, including knowledge distillation, as well as high-performance CPU/GPU inference, as validated in WMT Efficiency Tasks. [C++, Python, Bash]

Postdoctoral Research Associate (PPT)

Enhanced simulations of QCD phenomena for the LHC by improving modeling code for the Herwig and HEJ Monte Carlo frameworks, including the implementation of key computations for vector-boson scattering in the high-energy limit. [C++, Python, Mathematica]

PhD. Theoretical Particle Physics

Conducted analytical research and development on computational simulations of QCD phenomenology for the Large Hadron Collider, investigating novel accuracy improvements (KrkNLO) and analyzing parton shower uncertainties.

MSci. in Mathematics and Physics

Awarded First Class Honours.

Technial • C++, Python, Bash, Git, SQL, $\LaTeX$, HTML, CSS, JavaScript, Linux, MacOS, Windows

Other • English (Native), Italian (Learning), UK Driving Licence

The Llama 3 Herd Of Models (2024)

• The Llama Team

A New Massive Multilingual Dataset For High-Performance Language Technologies (2024)

• Ona De Gibert,

• Graeme Nail,

• Nikolay Arefyev,

• Marta Bañón,

• Jelmer Van Der Linde,

• Shaoxiong Ji,

• Jaume Zaragoza-Bernabeu,

• Mikko Aulamo,

• Gema Ramírez-Sánchez,

• Andrey Kutuzov,

• Sampo Pyysalo,

• Stephan Oepen,

• Jörg Tiedemann

OpusCleaner And OpusTrainer, Open Source Toolkits For Training Machine Translation and Large Language Models (2023)

• Nikolay Bogoychev,

• Jelmer van der Linde,

• Graeme Nail,

• Barry Haddow,

• Jaume Zaragoza-Bernabeu,

• Gema Ramírez-Sánchez,

• Lukas Weymann,

• Tudor Nicolae Mateiu,

• Jindřich Helcl,

• Mikko Aulamo

HPLT: High Performance Language Technologies (2023)

• Mikko Aulamo,

• Nikolay Bogoychev,

• Shaoxiong Ji,

• Graeme Nail,

• Gema Ramírez-Sánchez,

• Jörg Tiedemann,

• Jelmer Van Der Linde,

• Jaume Zaragoza

Edinburgh’s submission to the WMT 2022 Efficiency task (2022)

• Nikolay Bogoychev,

• Maximiliana Behnke,

• Jelmer Van Der Linde,

• Graeme Nail,

• Kenneth Heafield,

• Biao Zhang,

• Sidharth Kashyap

Efficient Machine Translation with Model Pruning and Quantization (2021)

• Maximiliana Behnke,

• Nikolay Bogoychev,

• Alham Fikri Aji,

• Kenneth Heafield,

• Graeme Nail,

• Qianqian Zhu,

• Svetlana Tchistiakova,

• Jelmer Van der Linde,

• Pinzhen Chen,

• Sidharth Kashyap,

• Roman Grundkiewicz