Workshop "Challenges and Opportunities in Big Data Analysis"

The workshop will take place in Tartu, Estonia, 16.-17.05.2018 and is organized by UTARTU together with the project partners. 

Venue: Institute of Molecular and Cell Biology, University of Tartu, Omicum building, Riia 23 b/2, auditorium 105

Program

Booklet

SPEAKERS:

Matti Pirinen Short CV 
University of Helsinki, Finland 
Title of the talk "Big data challenges in human genomics”
Christoffer Nellåker Short CV
University of Oxford, UK
Title of the talk "Electronic phenotyping from images - big data biology"
Cecilia M. Lindgren Short CV
University of Oxford, UK
Title of the talk "Leveraging Big Data to Dissect Common, Complex Metabolic Traits"

Matthew Robinson Short CV
University of Lausanne, Switzerland
Title of the talk "Designing Bayesian learning models for large datasets"


Peter Claes Short CV
KU Leuven, Belgium
Title of the talk "Imaging genetics of the human face"

Mait Metspalu Short CV
University of Tartu, Estonia
Title of the talk "Using large scale genomic data to reconstruct demographic history"

Margus Tiru Short CV
Positium LBS Llc, Estonia
Title of the talk "Use of location big data from telecom operators for spatiotemporal behavior research"
Yves Moreau  Short CV
KU Leuven, Belgium
Title of the talk "Large-scale matrix factorization in drug discovery and precision medicine"
Kaur Alasoo Short CV
University of Tartu, Estonia
Title of the talk "Shared genetic effects on chromatin and gene expression indicate a role for enhancer priming in immune response"
Sulev Reisberg Short CV
University of Tartu, Estonia
Title of the talk "Electronic health records and data mining"
Andrew Morris Short CV
University of Liverpool, UK
Title of the talk "Leveraging large-scale genome-wide association studies in diverse populations to advance understanding of the genetic contribution to type 2 diabetes susceptibility"
Anna-Sapfo Malaspinas Short CV
University of Lausanne, Switzerland
Title of the talk "Inferring demographic history with multidimensional scaling"
Reedik Mägi  Short CV
University of Tartu, Estonia
Title of the talk "Multiphenotype analysis"
Aiden Doherty Short CV
University of Oxford, UK
Title of the talk "Statistical machine learning of physical activity and sleep from sensor data and their genetic determinants"

The workshop takes place in collaboration with another H2020 Twinning grant ePerMed (No 692145) and Graduate School of Biomedicine and Biotechnology of University of Tartu (2014-2020.4.01.16-0027, University of Tartu ASTRA project PER ASPERA).