Richard Hayes Email & Phone Number

With over a decade of experience creating well engineered software I specialise in helping academics, startups and SMEs bring deep science ideas to life. I can help you define and build a minimum viable product, scale and train your team and adopt best practices to ensure your project is a success. With a strong understanding of science, expertise in software development and clear communication I can translate your ideas into reality.- Designing and building prototype software- Programming (Python/Java/Swift/SQL)- DevOps (git/TDD/Jenkins/Docker/AWS)- Training, mentoring and workshopsClientsCCBio: Antibiotic Discovery in the Cloud- Designed and built a cloud platform to accelerate drug discoveryScalpel: Making Surgery Safer using AI- Led an engineering team defining the entire tech stack- Hired and trained a team- Developed novel pipeline for capturing and processing ML training data- Worked to ensure compliance including taking responsibility as DPODurham: Cutting edge statistical software used in astronomy and cancer treatment- Helped build Astronomy and Statistics software from the ground up- Created an automation framework used by scientists to model gravitational lenses- Developed a project with a commercial partner which won funding to apply software to cancer treatmentMosaic: Big Data and AI in finance- Refactored complex legacy code improving reliability and flexibility of a quantitive ETL pipeline- Hired and trained staff helping to establish a culture of openness and high standardsCCBio: Novel antibiotic drug discovery- Built a prototype system that uses Hidden Markov Models to uncover targeted antibiotic candidatesJUNE: open-source individual-based epidemiology simulation- Digital twin Covid modelling software developed by Durham University and used to inform UK Government policy decisions during the pandemic- Consulted with academics devising an extensible architecture- Improved coding practices and helped to make code more efficient rendering simulation tractableAwards and PapersUSAID Feed the Future competition- One of eleven finalists- Used earth observation data and ML to map crops in Nepal- Worked with subsistence farmers in Nepal applying technological innovation to improve lives and agricultural practicesPyAutoLens: Open-Source Strong Gravitational LensingPyAutoFit: A Classy Probabilistic Programming Language for Model Composition and FittingGalaxy structure with strong gravitational lensing: decomposing the internal mass distribution of massive elliptical galaxies

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  University Of Nottingham

  First Class