MaCSBio Science Day 2019
This year's theme of the MaCSBio Science Day is: Biological data integration: challenges and opportunities. During this day MaCSBio will present current and future research during this extraordinary day. Moreover, lectures will be given by invited prominent scientists on the latest developments in their respective areas of systems biology research.
Programme
Time | Session |
---|---|
09:30 - 10:00 | Registration |
10:00 - 10:15 | Opening by Ilja Arts |
10:15 - 11:00 | Keynote 1: From genetic variation to regulatory networks Dr. Matthias Heinig |
11:00 - 11:30 | MaCSBio presentation: Hybrid modeling approaches to study complex metabolic traits Dr. Michiel Adriaens + Balázs Erdos |
11:30 - 12:00 | MaCSBio presentation: Investigating molecular processes in chronic diseases using network biology Dr. Martina Kutmon + Samar Tareen |
12:00 - 13:30 | Lunch and poster session Takes place at MaCSBio |
13:30 - 14:30 | Short talks by Systems Biology master's programme students
|
14:30 - 15:15 | Keynote 2: Visual analytics for 3DOMICS: from single cell to tissue and back Prof. Boudewijn Lelieveldt |
15:15 - 15:45 | Break |
15:45 - 16:15 | MaCSBio presentation: Constraint-based metabolic modeling for human health Dr. Marian Breuer + Chaitra Sarathy |
16:15 - 16:45 | MaCSBio presentation: Towards better understanding of neuronal communication and plasticity: phenotyping mitochondrial disorders on a micro and macro scale Dr. Mike Gerards + Bob Engelen |
16:45 - 19:00 | Drinks and networking |
The MaCSBio Science Day 2019 was hosted on 21 June at the Jo Ritzenzaal at the Oxfordlaan 55 in Maastricht.
Keynote speakers
Dr. Matthias Heinig
Position
Junior Group Leader Genetic and Epigenetic Gene Regulation
Organisation
Helmholtz Zentrum München - Institute of Computational Biology
Matthias Heinig conducts research in the field of computational biology. His aim is the development and application of computational and statistical tools for the identification of molecular regulatory networks underlying common diseases and the genetic and epigenetic mechanisms controlling these networks from population level DNA and multi-omics data sets.
Prof.dr.ir. Boudewijn Lelieveldt
Position
Professor of Biomedical Imaging/Head of the Division of Image Processing
Organisation
TU Delft - Department of Intelligent Systems/Leiden University Medical Center - Department of Radiology
Boudewijn Lelieveldt's research interest is data analytics for spatially resolved –omics data, with applications in clinical imaging and biology.