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cirss

CIRSS Seminar - The future of medicine and health care is Data-Driven, Predictive, Preventive, Personalised, and Participative

Event Type
Informational
Sponsor
CIRSS
Date
Mar 19, 2021   4:00 - 5:00 pm  
Views
4

Please join us for our CIRSS Seminar this week, Friday 19 February, from 4pm-5pm in Zoom.  Special guest Paolo Missier, Professor of Scalable Data Analytics with the School of Computing at Newcastle University, will lead a session on "The future of medicine and health care is Data-Driven, Predictive, Preventive, Personalised, and Participative."  Details follow below.  

Join Zoom Meeting

https://illinois.zoom.us/j/84994278491?pwd=aHc3TXVVclh4eW14MVJLQ3F3WHU5dz09

Meeting ID: 849 9427 8491

Password: 960921

** Please NOTE you must be logged in to Zoom to attend this event.**

* Date: Friday 19 February, 4-5pm

* Zoom room link: https://illinois.zoom.us/j/84994278491?pwd=aHc3TXVVclh4eW14MVJLQ3F3WHU5dz09; password 960921

* Speaker: Paolo Missier, Professor of Scalable Data Analytics with the School of Computing at Newcastle University
* Title:  "The future of medicine and health care is Data-Driven, Predictive, Preventive, Personalised, and Participative"

* Abstract:

This "DD+P4" mantra summarises a vision where everybody can afford their best chance of a healthy, good quality life for longer, through a combination of self-monitoring, early detection of diseases, and personalised (clinical, lifestyle) interventions at low-cost and at population scale. This vision translates into an exciting long-term, multi-disciplinary research agenda at the intersection of health science, data science and AI, data engineering, and computer science.

In this talk I will try and provide an overview of challenges encountered and lessons learnt (so far) on our initial journey in this space. The script starts with excitement at potential of using AI for healthcare, then takes a dip when we hit the complexity and untidiness of the underlying data, but picks up again when we realise that data and metadata engineering has a lot to offer to realise some of the T's in this game: Transparency, Traceability, Trustworthiness (and possibly more).

* Bio:

Paolo Missier is Professor of Scalable Data Analytics with the School of Computing at Newcastle University and a Fellow (2018-2020) of the Alan Turing Institute, UK's National Institute for Data Science and Artificial Intelligence.

With a background in traditional databases and data management, Paolo's research has touched on Data and Information Quality, web semantics, workflow-based infrastructure for e-science, and data provenance. Past and current funded projects include work on scalable processing of genomics pipeline on the cloud (NIHR-BRC), on optimising analytics pipelines in response to changes in data (EPSRC), and more. He recently oriented his research portfolio to address the challenges and opportunities of data science in health care, with contributions on the search for "digital biomarkers" from self-monitoring devices and applications of machine learning to predictive modelling for covid. His interests expand to the management and exploitation of data provenance in data science pipelines, and in algorithmic fairness.

Paolo has been a Research Scientist at Bell Communications Research, USA (1994-2001), and as a Research Fellow at the University of Manchester, School of Computer Science (2004-2011) where he got his PhD in 2008. At Newcastle he leads the School of Computing's post-graduate academic teaching on Big Data Analytics. He is Sr. Associate Editor for the ACM Journal on Data and Information Quality (JDIQ).

https://sites.google.com/site/paolomissier/

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