A machine learning engineer with 10 years of industry experience, specialising in applied machine learning for drug discovery and large-scale, distributed modelling. I am passionate about building scalable ML systems that enable product-focused ML research.

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Work Experience

Isomorphic Labs

London, UK

Principal Machine Learning Engineer

Nov 2024 - Current

• Leading applied ML team that translates ML research into drug discovery capabilities.

Senior Machine Learning Engineer

Jan 2023 - Oct 2024

Cohere

Toronto, Canada

Team Lead

July 2021 - Dec 2022

• Led the foundations team of eight whose responsibility spanned across LLM scalability, performance improvement, training efficiency, and model architecture exploration.
• Designed and built a scale-first LLM training framework with JAX and TPU that powers Cohere’s language models in a team of three engineers.
• Trained Cohere’s first generative model ****with 52 billion parameters ****that pushed the boundaries of Cohere’s language model quality and scalability.

Founding Machine Learning Engineer

January 2020 - June 2021

• Joined the team as one of the first three machine learning engineers.
• Built a model parallelism module with tensorflow with scalability and expandability in mind.
• Led research engineering projects across LLM training efficiency, infrastructure improvement, and profiling.

MindsLab

Pangyo, South Korea

(remote)

Machine Learning Engineer (project-based)

February 2017 - December 2019

• Led an introductory drug discovery project by building a Graph Attention Network that predicts the binding affinity of protein and ligand
• Delivered ML models and solutions in other domains such as computer vision and NLP

Software Engineer (project-based)

May 2015 - February 2017

Publication

Scalable Training of Language Models using JAX pjit and TPU v4

https://arxiv.org/abs/2204.06514

Education

University of British Columbia

2011 - 2016 Vancouver, BC

B. Sc. in Mathematics

Improving compute efficacy frontiers with SliceOut

https://arxiv.org/abs/2007.10909

Awarded

• President's Entrance Scholarship
• BC Government Scholarship
• Dean of Science Scholarship