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CIC Seminar July 2017

Date: July 12, 2017

Time: 1pm to 2pm, followed by afternoon tea

Location: CLT Learning Space, Building 105, Room 107

Speaker: Dr. Andrea Bedini


Title: The Blockchain – A gentle introduction.


RSVP: Please register via Eventbrite by COB Monday 10 July 2017


In his presentation, Dr Bedini will offer a gentle introduction to the concepts behind the blockchain, answering the three big questions that arise with any new technology: What is it? How does it work? And why do we need it?

The blockchain is the disruptive technology at the base of Bitcoin, the world’s first decentralised cryptocurrency. It has received media attention and the public discussion has some enthusiasts claiming that the blockchain is the biggest invention since the emergence of the Internet.

The blockchain’s ground-breaking innovation lies in allowing people to safely conduct transactions electronically without the requirement of a trusted third-party. From its first application in the financial industry, this technology is now finding applications in many other industries such as real-estate, law, energy, and even music.



Andrea Bedini obtained his PhD in theoretical physics from Milan University and has been a Research Fellow at the School of Mathematics and Statistics of the University of Melbourne. His research included mathematical combinatorics, statistical physics, genomics and traffic flow modelling, and was supported by the ARC Centre of Excellence for Mathematics and Statistics of Complex (MASCOS) and the ARC Centre of Excellence for Mathematical and Statistical Frontiers Systems (ACEMS). Andrea is also an experienced software developer and has published scientific software packages to complement his academic publications.


He is one of the maintainers of PyTables, a Python library for managing large datasets. After 5 years in research, Andrea has decided that developing tools for research might be more exciting than research itself, and someone else should do the grant-writing. He has now joined the Curtin Institute for Computation as a data scientist/computational specialist assisting the Curtin Business School.