Entrance hall of the ICMS Workshop

Solving big data challenges from modern science through statistical modelling

May 05, 2015 - May 08, 2015

ICMS, 15 South College Street, Edinburgh

Organisers

Name Institution
Gupta, Mayetri University of Glasgow
Mukhopadhyay, Indranil Indian Statistical Institute
Ray, Surajit University of Glasgow
Sengupta, Debasis Indian Statistical Institute, Kolkata

This workshop seeks to achieve two primary goals: (i) provide a much-needed venue for interaction among both established and new researchers, from the UK and India, to collaborate on newly arising challenges in statistical modelling and data analysis, setting the foundation for establishing long-term and fruitful collaborative groups and (ii) bring together complementary research expertise from the two countries, in theory, methodology, and application, for knowledge exchange and synthesis directed at solving long-standing scientific and statistical questions from a novel perspective.

This workshop is part of the EPSRC-DST Indo-UK Initiative in Applied Mathematics

The workshop organisers have also set up a website which you can view here

 

Workshop Photographs

Several group photographs and a selection from Martin Hendry's public lecture have been uploaded to the ICMS Flickr account. Follow this link to view the pictures and click any picture to enlarge it.

If you have a Flickr account you can also leave comments on the pictures and add your own workshop pictures to the ICMS events group pool.

 

Arrangements

It is anticipated that the workshop will begin with Registration on the morning of Tuesday 5 May and close around lunchtime on Friday 8 May 2015.  

Participation
Participation is by invitation only.  Invitations for this workshop were issued by ICMS at the end of January 2015.  

Registration Fee
A registration fee is payable by all. please refer to your invitation letter for details. 

  • Payment can be made on arrival at ICMS - at Registration we will accept cash, credit/debit card payments and sterling cheques (payable to “Heriot-Watt University”).  Unfortunately, we do not yet have an on-line payment system at ICMS.   If you wish to pay by credit/debit card, please complete the form (available in the link below) and bring the completed form to Registration.  
  • Alternatively, if you wish to pay in advance, please print out the credit/debit card payment form and complete by filling in your details.  As email is not secure, the completed form should be faxed to me using the fax number at the top of the form.   The fax machine is in a locked room and your details will be kept securely until payment is taken.  We also accept sterling cheques, made payable to “Heriot-Watt University” but sent to Diane Horberry, ICMS, 15 South College Street, Edinburgh, EH8 9AA.  A receipt will be emailed to you.

Venue
The workshop will be held at 15 South College Street, Edinburgh.  You may also find this map useful for the workshop.  All lectures will be held in the Newhaven Lecture Theatre.  In addition, two blackboards have been installed.  The projector and one board may be used simultaneously.  

UK Visas
If you are travelling from overseas you may require an entry visa. A European visa does not guarantee entry to the UK. Please use this link to the UK Visas site to find out if you need a visa and if so how to apply for one.

Travel
Information about travel to the UK and Edinburgh is available here. Additional information for Indian delegates regarding onward travel in the UK, from Heathrow and Birmingham airports is available here.

Please note that it is your responsibility to have adequate travel insurance to cover medical and other emergencies (volcanic ash disruptions) that may occur on your trip.

A taxi directly from the airport will cost approximately 20.00 to 25.00 GBP to the city centre for a one-way journey.     There is also a bus service direct from the airport to the city centre which will cost 4.50 GBP single or 7.50 GBP return - the Airlink 100.  This is a frequent service (every 10 minutes during peak times) and will bring you close to Waverley Railway Station, only a short walk to the accommodation and the workshop venue (see map in 'Venue' section above). 

Lothian buses charge £1.50 for a single, £4.00 for a day ticket. Please note that the exact fare is required and no change is given.

If travelling by train, please note that Edinburgh has several railway stations - Waverley Railway Station being the main station and closest to the workshop venue at 15 South College Street. If you alight at Edinburgh Waverley, the workshop venue is an easy 10 minute walk over North and South Bridge. The second large railway station is called Haymarket and is at the West End of the city centre.    Please be aware that there is also an Edinburgh Park railway station but this is at the west side of the city some way from the city centre.  For ICMS, use Edinburgh Waverley.

Accommodation
Invited speakers will have accommodation arranged by ICMS (should they wish).  Full details of the accommodation will be emailed nearer the time of the workshop. 

Catering
The workshop grants will provide refreshments during the breaks in the Programme, lunch Tuesday to Thursday inclusive, an informal wine reception, a workshop dinner, 19.00, on Wednesday evening and an informal dinner 20.00, on Thursday evening. 

Poster Session
On the evening of Tuesday 5 May, there will be a Poster Session in the Chapterhouse, Level 1 at ICMS.  Further information about posters is available here.  

Wireless Access
The workshop venue, 15 South College Street, has wireless access throughout. On arrival at Registration you will be given instructions and a code for accessing the wireless network.  For those without laptops, there will also be a couple of computers available for you to check your emails. 

Knowledge Transfer Session

During the KT session there will be presentations from Cecilia Bouroncle from Data Lab and Adam Carter from EPCC.

The Data Lab is a new Innovation Centre focussed on helping Scottish Industry to capitalise on a growing market of data science in Scotland. The Data Lab enables industry, public sector and world-class university researchers to innovate and develop new data science capabilities in a collaborative environment. Its core mission is to generate significant economic, social and scientific value from big data.

The Edinburgh Parallel Computing Centre (EPCC) a leading European centre of excellence in advanced research, technology transfer and the provision of high-performance computing services to academia and industry.  The overview presentation will focus on Big Data activities at EPCC and provide details of the HPC facilities.

Programme

This is a Provisional Programme and may be subject to alteration.


Tuesday 5 May 2015

08.45-09.45

Registration & coffee in the Chapterhouse, Level 1

 

Session 1 Chair: Mayetri Gupta

09.45-10.25

Adrian Bowman (University of Glasgow)
Modelling surface anatomy: lots of data, lots of structure

10.25-11.05

Partha Pratim Majumdar (National Institute of Biomedical Genomics)
Analyzing genome-scale data on cancer: computational and statistical challenges

11.05-11.35

Coffee/Tea in the Chapterhouse

 

Session 2 Chair: Surajit Ray

11.35-12.15

Kanti Mardia (University of Leeds)
Shape manifold and curves in the context of big data
pdf of presentation

12.15-14.00

Lunch provided in the Chapterhouse

 

Session 3 Chair: Vladislav Vyshemirsky

14.00-14.30

David van Dyk (Imperial College London)
Big data and complex modeling challenges in astronomy and solar physics
pdf of presentation

14.30-15.00

Jonathan Marchini (University of Oxford)
Statistical methods for genetic studies of multiple phenotypes in related samples

15.00-15.30

Coffee/Tea in the Chapterhouse

 

Session 4 Chair: Saumyadipta Pyne

15.30-16.00

Christopher Yau (University of Oxford)
The hamming ball sampler
pdf of presentation

16.00-16.30

Indranil Mukhopadhyay (Indian Statistical Institute)
Tight clustering for large datasets

16.30-18.00

Poster Session in the Chapterhouse (Pizza and drinks will be served)

 

Wednesday 6 May 2015

 

Session 1 Chair: Mayetri Gupta

09.30-10.00

Guido Sanguinetti (University of Edinburgh)
Machine learning for epigenetics: some initial results
pdf of presentation

10.00-10.30

Arief Gusnanto (University of Leeds)
Statistical analysis of copy number alterations using next-generation sequence data

10.30-11.00

Coffee/Tea in the Chapterhouse

 

Session 2 Chair: Guido Sanguinetti

11.00-11.30

Darren Wilkinson (Newcastle University)
Stochastic modelling of genome-wide robotic screens for genetic interaction in yeast
pdf of presentation

11.30-12.00

Dirk Husmeier (University of Glasgow)
Sparse models for genetic-antigenic associations
pdf of presentation

12.00-12.30

Saumyadipta Pyne (CRRao AIMSCS)
Computational biosecurity via high-dimensional modeling of immunophenotypic diversity in populations
pdf of presentation

12.30-14.00

(13.15-14.00)

Lunch provided in the Chapterhouse

Discussion session 1: Genetics, genomics & biomedical applications
-    statistical modelling in large or high-dimensional data sets
-    methods for clustering, feature selection, etc.

(Chapterhouse level seminar room)

 

Session 3 Chair: Dirk Husmeier

14.00-14.30

Vincent Macaulay & Alasdair Mcintosh (University of Glasgow)
Comparing competing demographic models for big genomic datasets

14.30-15.00

Sanghamitra Bandopadhyay (Indian Statistical Institute)
Locality sensitive hashing for sequence similarity search: applications in big data

15.00-15.30

Sandosh Padmanabhan (University of Glasgow)
Challenges in real-life healthcare data analysis

15.30-16.00

Coffee/Tea in the Chapterhouse

 

Session 4 Chair: Vincent Macaulay

16.00-16.30

Paul Fearnhead (Lancaster University)
Scaling changepoint detection to big data
pdf of presentation

16.30-17.00

Koel Das (Indian Institute of Science Education and Research)
Large scale data analysis in cognitive neuroscience

19.00

Workshop dinner at Magnum restaurant, 1 Albany Street, Edinburgh

 

Thursday 7 May 2015

 

Session 1 Chair: Indranil Mukhopadhyay

09.00-09.40

Marian Scott (University of Glasgow)
The environmental 'data deluge' and statistical challenges it presents

09.40-10.20

John Aston (University of Cambridge)
Object data analysis for one or more dimensional signals

10.30-11.00

Coffee/Tea in the Chapterhouse

 

Session 2 Chair: Ludger Evers

11.00-11.30

Sujit Sahu (University of Southampton)
On generating a flexible class of anisotropic spatial models using Gaussian predictive processes
pdf of presentation

11.30-12.00

Surajit Ray (University of Glasgow)
Spatially correlated functional data analysis

12.00-12.30

Susan Waldron (University of Glasgow)
Understanding the consequences of land use change through sensor technology time series

12.30-14.00

(13.15-14.00)

Lunch provided in the Chapterhouse

Discussion session 2: Big data in the environmental sciences, energy and technology
(Chapterhouse level seminar room)

 

Session 3 Chair: Antony Overstall

14.00-14.30

Natalia Bochkina (University of Edinburgh)
Selection of the regularization parameter in graphical models using a priori knowledge of network structure
pdf of presentation

14.30-15.00

Debasis Kundu (Indian Institute of Technology)
Multivariate geometric skew-normal distribution
pdf of presentation

15.00-15.30

Coffee/Tea in the Chapterhouse

 

Session 4 Chair: Surajit Ray

15.30-16.30

KT and Discussions

1. Cecilia Bouroncle, Data Lab
Data Lab Overview Presentation

2. Adam Carter, EPCC
EPCC overview Presentation

3. Discussion

17.30-18.00

Doors open to public

18.00-19.00

Public Lecture by Martin Hendry (University of Glasgow)
2020 Vision: Exploring the cosmos with the next generation of astronomical telescopes

19.00-19.45

Informal wine reception in the Chapterhouse

20.00

Dinner at Blonde restaurant, 71-75 St Leonard's, Edinburgh

 

Friday 8 May 2015

 

Session 1 Chair: Surajit Ray

09.00-09.30

Arnab K. Laha (Indian Institute of Management Ahmedabad)
Statistical challenges with big data in management science
pdf of presentation

09.30-10.00

John Moriarty (University of Manchester)
Bayesian inference on mixtures of Ornstein-Uhlenbeck processes for modelling electricity spot prices

10.00-10.30

Yogesh Simmhan (Indian Institute of Science)
Big data platforms and tools for smart infrastructure

10.30-11.00

Coffee/Tea in the Chapterhouse

 

Session 2 Chair: Claire Miller

11.00-11.30

Patrick Wolfe (University College London)
Understanding the behaviour of large networks

11.30-12.00

Sumeetpal Singh (Cambridge University)
Particle Gibbs for state-space models with long data sequences

12.00-12.30

Ludger Evers (University of Glasgow)
Functional distributional clustering with an application to the spatial partitioning of traffic networks

12.30

Close of workshop


 

 

Presentations:

Presentation Details
Aston, John
Object data analysis for one or more dimensional signals
View Abstract Down
Bandopadhyay, Sanghamitra
Locality sensitive hashing for sequence similarity search: applications in big data
View Abstract Down
Bochkina, Natalia
Selection of the regularization parameter in graphical models using a priori knowledge of network structure
View Abstract Down
Bowman, Adrian
Modelling surface anatomy: lots of data, lots of structure
View Abstract Down
Caballe, Adria
POSTER: Fitting sparse graphical models to paired gene expression data
View Abstract Down
Conde, Susana
POSTER: Detecting multivariate binary comorbidity interactions and transcriptomic toxicological communities
View Abstract Down
Dahl, Andy
POSTER: Phenotype matrix completion
View Abstract Down
Das, Koel
Large scale data analysis in cognitive neuroscience
View Abstract Down
Elayouty, Amira
POSTER: Visualisation and modelling of environmental sensor time series
View Abstract Down
Evers, Ludger
Functional distributional clustering with an application to the spatial partitioning of traffic networks
View Abstract Down
Fearnhead, Paul
Scaling changepoint detection to big data
View Abstract Down
Ghosh, Tusharkanti
POSTER: Identification of Differentially Methylated Regions in Bisulphite Sequencing data using Bayesian Models
View Abstract Down
Gusnanto, Arief
Statistical analysis of copy number alterations using next-generation sequence data
View Abstract Down
Hendry, Martin
PUBLIC LECTURE - 2020 Vision: Exploring the cosmos with the next generation of astronomical telescopes
View Abstract Down
Hore, Victoria
POSTER: Sparse bayesian latent factor models for multi-dimensional genetic studies
View Abstract Down
Husmeier, Dirk
Sparse models for genetic-antigenic associations
View Abstract Down
Kundu, Debasis
Multivariate geometric skew-normal distribution
View Abstract Down
Laha, Arnab K.
Statistical challenges with big data in management science
View Abstract Down
Macaulay, Vincent
Comparing competing demographic models for big genomic datasets
View Abstract Down
Majumdar, Partha Pratim
Analyzing genome-scale data on cancer: computational and statistical challenges
View Abstract Down
Marchini, Jonathan
Statistical methods for genetic studies of multiple phenotypes in related samples
View Abstract Down
Mardia, Kanti
Shape manifold and curves in the context of big data
View Abstract Down
Moriarty, John
Bayesian inference on mixtures of Ornstein-Uhlenbeck processes for modelling electricity spot prices
View Abstract Down
Mukhopadhyay, Indranil
Tight clustering for large datasets
View Abstract Down
O'Donnell, Ruth
POSTER: Within lake clustering of high resolution satellite retrievals - a functional data approach
View Abstract Down
Padmanabhan, Sandosh
Challenges in real-life healthcare data analysis
View Abstract Down
Pyne, Saumyadipta
Computational biosecurity via high-dimensional modeling of immunophenotypic diversity in populations
View Abstract Down
Ray, Surajit
Saptially correlated functional data analysis
View Abstract Down
Ritchie, Michaela
POSTER: Comparison of sampling methods for use with kriging
View Abstract Down
Sahu, Sujit
On generating a flexible class of anisotropic spatial models using Gaussian predictive processes
View Abstract Down
Sanguinetti, Guido
Machine learning for epigenetics: some initial results
View Abstract Down
Scott, Marian
The environmental 'data deluge' and statistical challenges it presents
View Abstract Down
Simmhan, Yogesh
Big data platforms and tools for smart infrastructure
View Abstract Down
Singh, Sumeetpal
Particle Gibbs for state-space models with long data sequences
View Abstract Down
van Dyk, David
Big data and complex modeling challenges in astronomy and solar physics 
View Abstract Down
Waldron, Susan
Understanding the consequences of land use change through sensor technology time series
View Abstract Down
Wilkinson, Darren
Stochastic modelling of genome-wide robotic screens for genetic interaction in yeast
View Abstract Down
Wolfe, Patrick
Understanding the behaviour of large networks
View Abstract Down
Yau, Christopher
The hamming ball sampler
View Abstract Down

Participants

Name Institution
Alghamdi, Salihah University of Glasgow
Alharbi, Randa University of Glasgow
Aston, John University of Cambridge
Bandopadhyay, Sanghamitra Indian Statistical Institute
Bochkina, Natalia University of Edinburgh
Bowman, Adrian University of Glasgow
Caballe, Adria University of Edinburgh
Conde, Susana University of Glasgow
Dahl, Andy University of Oxford
Das, Koel Indian Institute of Science Education and Research Kolkata
Dean, Nema University of Glasgow
Elayouty, Amira University of Glasgow
Evers, Ludger University of Glasgow
Fearnhead, Paul Lancaster University
Ghosh, Tusharkanti University of Glasgow, School of Mathematics and Statistics
Gupta, Mayetri University of Glasgow
Gusnanto, Arief University of Leeds
Hendry, Martin University of Glasgow
Hore, Victoria University of Oxford
Husmeier, Dirk University of Glasgow
Kundu, Debasis Indian Institute of Technology Kanpur
Laha, Arnab K. Indian Institute of Management Ahmedabad
Macaulay, Vincent University of Glasgow
Majumdar, Partha Pratim National Institute of Biomedical Genomics
Mangisa, Siphumlile Nelson Mandela Metropolitan University
Marchini, Jonathan University of Oxford
Mardia, Kanti University of Leeds
Mayer, Claus Biomathematics and Statistics Scotland (BioSS)
McIntosh, Alasdair University of Glasgow
Miller, Claire University of Glasgow
Moriarty, John Queen Mary University of London
Mukhopadhyay, Indranil Indian Statistical Institute
O'Donnell, Ruth University of Glasgow
Overstall, Antony University of Glasgow
Padmanabhan, Sandosh University of Glasgow
Pyne, Saumyadipta CRRao AIMSCS
Ray, Surajit University of Glasgow
Ritchie, Michaela Council for Scientific and Industrial Research
Sahu, Sujit University of Southampton
Sanguinetti, Guido University of Edinburgh
Scott, Marian University of Glasgow
Simmhan, Yogesh Indian Institute of Science, Bangalore
Singh, Sumeetpal University of Cambridge
van Dyk, David Imperial College London
Vyshemirsky, Vladislav University of Glasgow
Waldron, Susan University of Glasgow
Wilkinson, Darren Newcastle University
Wolfe, Patrick University College London
Yau, Christopher University of Oxford