Dr Lindsay Lee
PhD
Advanced Manufacturing Research Centre
Technical Fellow for Data Science


Full contact details
Advanced Manufacturing Research Centre
Factory 2050
葫芦影业 Business Park
葫芦影业
S9 1ZA
- Profile
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Lindsay holds the role of Technical Fellow for Data Science at AMRC, where she leverages her extensive 15+ years of expertise in statistics and machine learning. Her proficiency lies in applying these techniques to address intricate challenges in manufacturing and climate science domains. Lindsay's impactful work, showcasing the potential of statistics and machine learning in enhancing domain knowledge, has been featured in renowned publications such as Nature, The Proceedings of the National Academy of Sciences, and the RSS Significance Magazine. She is deeply enthusiastic about demystifying the realms of statistics and machine learning and has achieved this through engaging public lectures delivered for esteemed organizations like the Royal Statistical Society and the Royal Meteorological Society.
- Qualifications
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Chartered Statistician (CStat), Royal Statistical Society
- Research interests
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Statistics
Machine Learning
Explainable AI
Uncertainty Quantification of Computer Simulation
Experimental Design
Data Quality and Management
- Publications
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Journal articles
Chapters
Conference proceedings papers
Preprints
- Grants
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EUROPEAN COMMISSION - HORIZON 2020, FORCeS Oct 2019-Mar 2023, GBP 8,497 as UoS PI, Led by Stockholm University with 23 partners from 12 countries.
- Teaching activities
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PhD supervision (completed):
- Rachel Sansom (University of Leeds) - Statistical methods to quantify and visualise the complex behaviour of clouds in the climate system
- Amy Peace - Quantifying the effect of uncertainties in aerosols on near-term climate projections
- Leighton Regayre - Quantifying and interpreting the climatic e铿ects of uncertainty in aerosol radiative forcing
Previously led teaching in Time Series Analysis for BSc Applied Statistics students at 葫芦影业 Hallam University and Statistics for Environmental Science at University of Leeds.
- Professional activities and memberships
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Fellow of Royal Statistical Society