Dr. Paolo Missier, PhD (Computer Science)

School of Computing Science, 
Newcastle University
Science Central, The CORE building,
Bath Lane
My photography:
Newcastle upon Tyne, NE4 5TF
United Kingdom

 paolo dot missier at newcastle dot ac dot uk
Official staff page @Newcastle

My Google Scholar profile

About me:

I am a Reader in Large-Scale Information Management with the School of Computing at Newcastle University, with 20+ years experience in CS development, research, and research management.
My core expertise is in Information Management, with applications mainly to e-science, and more recently in Data Science.
I joined the School of Computing Science at Newcastle in 2011. read more

http://twitter.com/pMissier http://uk.linkedin.com/pub/paolo-missier/0/254/b4a  

Current and past funded projects

[Oct. 2015] PI, ReCompsustained value extraction from analytics by recurring, selective re-computation.  EPSRC funding £585,000, 2015-2018.

2013-2015: PI, Cloud-eGenomeimplementing efficient and cost-effective genomics data processing pipelines using workflow technology on the Cloud. Delivering the benefits of exome-based diagnosis to the clinical practice.  Funded by the NIHR / BRC Newcastle (£180,000), in collaboration with the Institute of Genetic Medicine at Newcastle University.

More details in this talk (NGS Data Congress, London, June 2015)

Key publications:

Cala, Jacek, Eyad Marei, Yaobo Yu, Kenji Takeda, and Paolo Missier. “Scalable and Efficient Whole-Exome Data Processing Using Workflows on the Cloud.” Future Generation Computer Systems In press, Special Issue: Big Data in the Cloud (2016).

Missier, Paolo, Eldarina Wijaya, Ryan Kirby, and Michael Keogh. “SVI: A Simple Single-Nucleotide Human Variant Interpretation Tool for Clinical Use.” In Procs. 11th International Conference on Data Integration in the Life Sciences. Los Angeles, CA: Springer, 2015.

2012-2013PITrusted Dynamic Coalitions project, joint EPSRC/DSTL funding  (£100,000). Investigating abstraction in provenance. and provenance-based policies for information exchanges amongst partners with limited trust.

Key publication: Missier, Paolo, Jeremy Bryans, Carl Gamble, Vasa Curcin, and Roxana Danger. “ProvAbs: Model, Policy, and Tooling for Abstracting PROV Graphs.” In Procs. IPAW 2014 (Provenance and Annotations). Koln, Germany: Springer, 2014.

Broad research Interests and activities

My research gravitates around the over-arching notion of Metadata Analytics.

This interest stems from the observation that much insight can be gained not just from data, ie through what is known as Data Science, but from the application of analytics techniques to metadata.

[2015] Data Trajectories: a research agenda. See also my initial paper:

Missier, P., Data trajectories: tracking reuse of published data for transitive credit attribution. In Procs. 11th International Data Curation Conference, 2016. DCC 

Data Provenance:

See my publications (group by keyword) for a lot more provenance work

Data Analytics:
  • 2015: Twitter content analysis for the detection of Dengue outbreaks in Brasil.
1 year project funded by the Newton Fund, in collaboration with PUC-Rio de Janeiro, Brasil


My self-maintained list. Uses BibBase. Up-to-date, accurate, with bibtex entries
The Google Scholar list - lags behind but has encouraging citation counts. It includes Tech reports, which are not in the lists above.
The official School of Computing list. Normally mirrors the former, but no bibtex or pdfs.
The DBLP list: lags behind and generally incomplete unless you only publish in DBLP space

My Twitter Timeline

News and blog posts

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