LIV.DAT Virtual Seminar Series – Spring 2020

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The amount of digital data that exists in the world is growing at a rapid rate. Recent years have witnessed a dramatic increase of data in many fields of science and engineering, due to the advancement of sensors, mobile devices, biotechnology, digital communication, and internet applications. Data is generated continuously from multiple sources by companies, users and devices in a huge velocity, volume and variety.

Big data refers to data that is so large that it cannot be processed by using traditional applications. Although significant computer technology exists, new skills are needed to fully understand the power of Big Data. Targeted training in managing, analysing, and interpreting large, complex datasets and high rates of dataflow is provided by the Liverpool Big Data Science (LIV.DAT) Centre for Doctoral Training. The PhD students in the Centre are working on research projects that involve large datasets, from Astrophysics, nuclear and particle physics to accelerator science.

LIV.DAT has now organised a Virtual Seminar Series to offer its staff and students an opportunity to broaden their horizon in Data Science. The series will kick-off on Monday with Dr Patrick Parkinson as the first invited speaker. He is a lecturer in Photonic Material at the University of Manchester, leading a team studying novel nanostructured optoelectronic materials. Recently he has been awarded a UKRI Future Leader Fellowship to research “Big-data for nano-electronics”.

The details of upcoming seminars are listed below. If you would like to join these via the conferencing tool Zoom, please click here. The seminars are open to staff, students and anyone else who is interested!


Dr Patrick Parkinson – Lecturer

Department of Physics and the Photon Science Institute, University of Manchester

Seminar Title: “Big-data for nano-electronics”

Monday 18 May 2020 at 14:00 (BST)


Dr Jessica Barrett - Senior Research Associate

MRC Biostatistics Unit, University of Cambridge

Seminar Title: “Cardiovascular risk prediction using big data: A statistician’s perspective”

Tuesday 30 June 2020 at 14:00 (BST) - Join


Dr Graeme West - Senior Lecturer

Department of Electronic and Electrical Engineering, University of Strathclyde

Seminar Title: “AI in nuclear power generation applications”

Monday 13 July 2020 at 14:00 (BST) - Join