Ilkka Sipilä is a Data Scientist and PhD researcher based in London with nine years of experience applying machine learning to palaeoenvironmental archaeology and public-sector problems. His research focuses on accelerating manual identification and classification workflows through transfer learning, saliency mapping, and convolutional neural networks, bridging deep technical methods with rich domain knowledge of past human behaviour. At Lewisham Council he applies data science in a pragmatic, impact-driven context, translating academic advances into operational solutions. Ilkka’s strength is his generalist, interdisciplinary approach—combining social science insight with technical fluency—which helps uncover human biases and contextualize model outputs. He is also an effective communicator and educator, skilled at making complex concepts accessible to non-technical stakeholders. This blend of domain expertise, applied ML, and public-sector experience positions him to deliver machine learning solutions that are both scientifically rigorous and socially informed.
9 years of coding experience
Master’s Degree, Master’s Degree at Leiden University
Bachelor of Science (BSc), Bachelor of Science (BSc) at Bournemouth University
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