Ewan Wallace
Data Scientist @Roche
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WORK HISTORY
Data Scientist @Roche
2.5 yrs building machine learning tools to enhance Roche\'s pre-clinical drug development pipeline. Working closely with Genentech\'s Prescient Design small molecules team (see publications)- Delivered independent research, training state-of-the-art graph neural network potentials, producing a foundational model. Developed and deployed a ligand strain calculator, integrated into Roche’s lab-in-the-loop pipeline- Contributed new models and systematic improvements to biochemical potency prediction, including retrospective analyses. Supported multiple Chemistry team’s use of the tool through stakeholder management and a Streamlit dashboard.Side Projects- Leveraged a BERT-like transformer architecture to model longitudinal EHR lab values for adverse event prediction, developing custom pre-processing and harmonisation pipelines to enhance model performance- Led technical development of an advanced RAG legal compliance chatbot in LangChain, streamlining queries. Utilised advanced retrieval methods, systematic benchmarking and NLP techniques to eliminate hallucination.
ABOUT EWAN WALLACE
Applying machine learning to drug discovery and automation at Chemify.
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