After graduate from Imperial College’s MSc in Applied Mathematics, Leo worked at Echo State (one of Sweden’s fastest growing Data Science/Engineering consultancy startups) working on projects spanning data engineering, data science, and the development of machine learning models. He was involved planning and implementation of a data lake/data warehouse project in Microsoft Azure working with data ingestion, transformation and presentation. As part of his masters programme, he applied a combination of hidden Markov models and deep convolutional networks to find cell-cycle transitions in time-lapse microscopy videos of cancer cells. In the Neurogenomics lab, he’s now bringing his mathematics and machine learning expertise to bear on biology.
Masters in Applied Mathematics, 2019
Imperial College London
KTH Royal Institute of Technology, 2018