Data Champions Search

Dequn Teng

PhD Candidate, Department of Engineering

Areas Of Expertise:

Python, SQL, Matlab, Machine learning, Statistical analysis, Data collection, Database design, Copyright, Data sharing, Code sharing, Open data, Imagin

Dequn (Peter) Teng is a Ph.D. candidate supervised by Dr. Veronica Martinez in the Business Model Innovation Group at the Institute of Manufacturing. His current research area is on blockchain and machine learning integrated methods for supply chain management.

Dequn graduated from University of Liverpool (2+2 route) with a first class honours degree in Computer Science and Electronic Engineering. His past research experiences relate to blockchain and digital innovation, with peer reviewed conference paper publications on IEEE Xplore and EI. Additionally, He has ten invention patent applications under substantive review process, ranging from Blockchain and Mechanical Design Innovation. For industrial exposure, he has taken research internships at Deutsche Bank (Shanghai) for digital transformation research, and Unilever (UK) for PowerBI visualization. Moreover, he loves mathematical modelling and was awarded Meritorious Winner at the Mathematical Contest in Modeling.

Lyuba Bozhilova, PhD

Bioinformatician

Areas Of Expertise:

R language, Git, SQL, Data visualisation, Machine learning, Statistical analysis, Version control, Licensing, Copyright, Discipline-specific repositories, Code sharing, Bioinformatics, Relational data, Neo4j

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Biography

Lyuba is a bioinformatics postdoc based at the MRC Mitochondrial Biology Unit. She is interested in better understanding the uncertainties and biases associated with data collection, and how they affect downstream bioinformatics analysis.

Dequn Teng

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Biography

Lyuba Bozhilova, PhD

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Biography

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