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 Daphne Leunissen: A Galaxy-based NGS pipeline for lung cancer data analysis. Felix Taschbach: Decoder-based analysis of spatial representations in dentate gyrus and CA1 in mice Indra Gesink: Mathematical Modelling for Adaptive Cancer Treatment Dara Akdag: Using prediction for unsupervised learning of stable semantic representations
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

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.