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Imperial College Business School

Philip is a Ph.D. Candidate at the Department of Computing and a consultant for the Data Science Institute at Imperial College London. His research interests lay in the combination of econometric and machine learning methodology to explore new possibilities for statistical inference. Philip’s research is funded by industry partners, thus the work is related and applied to the new field of cryptocurrencies and distributed ledger technology, taking advantage of the interdisciplinary nature of the research.

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