H2020 grant WIDENLIFE |     |
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
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 | |
 |
| |
 | Mait Metspalu Short CV | |
 | 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).
