Plastic-i Ltd is an award-winning start-up, focused on improving the health of our oceans for generations to come. We use deep learning computer vision methods and satellite imagery to detect and monitor floating debris in the ocean, geographically pinpointing problematic plastic pollution on the global scale.In my role as Machine Learning Director, I oversee the statistical analysis of satellite imagery using segmentation and classification algorithms to accurately identify plastic… Show more Plastic-i Ltd is an award-winning start-up, focused on improving the health of our oceans for generations to come. We use deep learning computer vision methods and satellite imagery to detect and monitor floating debris in the ocean, geographically pinpointing problematic plastic pollution on the global scale.In my role as Machine Learning Director, I oversee the statistical analysis of satellite imagery using segmentation and classification algorithms to accurately identify plastic debris.● Co-founded a UK based software start-up with Dr James Doherty (OXLABS), focused on the use of satellite imaging with computer vision to detect plastic debris in rivers and oceans● Oversight of satellite imagery statistical analysis, using segmentation and classification algorithms● Winners of the Hack the Planet 2021 competition, organised by the Commonwealth Secretariat and the Satellite Applications Catapult● Prototype product is currently under development with support from Amazon Web Services (AWS), Maxar Technologies, NVIDIA and Planet Show less

Research funded by European Commission (project 894674 under H2020-MSCA-IF-2019 call) to perform the first angular analyses of B -> D(*) tau nu decays using hadronic tau final states. Current leader of the semileptonic physics analysis group.Individual Project Work● Awarded a prestigious grant of €200k by the European Research Council, to perform angular analyses of B meson decays involving tau leptons● Pioneered the development of a new histogram-based multidimensional fit… Show more Research funded by European Commission (project 894674 under H2020-MSCA-IF-2019 call) to perform the first angular analyses of B -> D(*) tau nu decays using hadronic tau final states. Current leader of the semileptonic physics analysis group.Individual Project Work● Awarded a prestigious grant of €200k by the European Research Council, to perform angular analyses of B meson decays involving tau leptons● Pioneered the development of a new histogram-based multidimensional fit strategy, used to analyse decays involving missing energy from neutrinos● Publication of two world-first angular analyses based on this approach, coupled with the use of XGBoost classifiers to improve signal purity, due in 2022LHCb Semileptonic Physics Group Leadership● Project management of more than 10 high profile concurrent research projects, responsible for coordinating resource, adhering to budgets, and mitigating risks, issues, and dependencies● Selected various appropriate data approaches focused on solving objectives rather than order taking● Critical analysis of working assumptions, unpicking base data and systems to drive significant improvement Show less

Postdoctoral researcher on the CERN LHCb experiment and Leader of the Particle ID and Calorimeter Objects group (2017-2019). ● Responsible for the LHCb PID calibration software (PIDCalib, 2016-2020). ●Expertise on measurements of CKM angle gamma using B -> D(*) h decays, and semileptonic B decays involving hadronic tau modes.● Published 6 journal articles from this work as first author, and 2 papers as a co-author● Performed statistical analysis of matter-antimatter… Show more Postdoctoral researcher on the CERN LHCb experiment and Leader of the Particle ID and Calorimeter Objects group (2017-2019). ● Responsible for the LHCb PID calibration software (PIDCalib, 2016-2020). ●Expertise on measurements of CKM angle gamma using B -> D(*) h decays, and semileptonic B decays involving hadronic tau modes.● Published 6 journal articles from this work as first author, and 2 papers as a co-author● Performed statistical analysis of matter-antimatter differences, using XGBoost for signal selection and multidimensional maximum-likelihood fits, to measure 28 key physics quantities● Developed PIDCalib software and associated data calibration samples, used in over 700 LHCb publications● Reduced run time by 90% whilst also improving usability through the development of Python-based PIDCalib2● Provided supervision and guidance to high-achieving students at PhD, Masters, and Bachelors level Show less

Postdoctoral researcher in the Centre for Neuroimaging Science. Focused on the statistical analysis of functional MRI data, and the application of machine learning methods for cerebral blood flow change detection. Also developed collaborations with researchers at the University of Oslo and University of Oxford. Analysed large-scale neuroimaging datasets using clustering and regression techniques, with work adopted in 4 journal papers

Postdoctoral researcher on the STFC STEP scheme, awarded to continue research work post-PhD.