Monte Carlo methods play a significant role in today's science, engineering as well as in application. The workshop is dedicated to the exchange of ideas on methods, algorithms and application of Monte Carlo methods and Big Data.


Friday (February 10th, 2017)

Time Talk  
08:55-09:00 Welcome Dieter Heermann
09:00-09:45 Keynote Talk
Parallel Markov Chain Monte Carlo Methods for Bayesian Analysis of Big Data
Erin Conlon
  Session: I
Chair: Coryn Bailer-Jones
09:45-10:15 Modeling Stellar Birth and the Dynamics of the Interstellar Medium Ralf Klessen
10.15-10:45 Modelling and analysing the multi-phase interstellar medium of our Galaxy Juan C. Ibanez-Mejia
10:45-11:30 Coffee Break  
11:30-12:00 Monte Carlo Methods for Photons and Dust Particles Cornelius Dullemond
12:00-12:30 Cosmological simulations and their challenges for data science Lucio Mayer
12:30-13:30 Lunch Break  
  Session: II
Chair: Juan C. Ibanez-Mejia
13:30-14:00 Estimating posterior distributions over stellar parameters Coryn Bailer-Jones
14:00-14:30 Deep-learning Top Taggers or The End of QCD? Torben Schell
14:30-15:00 Discrete Truncated-Wigner simulations for critical quenches in the quantum Ising model Stefanie Czischek
15:00-15:30 Coffee Break  
  Session: III
Chair: Conlon
15:30-16:00 Parallel Monte Carlo Method for Segregation of Atoms in Solid Materials Godehard Sutmann
16:00-16:30 Big Data in Medicine - ethical questions and approaches Eva Winkler
16:30-17:00 Modelling of three-dimensional organization of the genome Andreas Hofmann
18:00 Workshop Dinner  
  Wirtshaus Zum Seppl
Hauptstra├če 213
69117 Heidelberg

Saturday (February 11th, 2017)

Time Talk  
  Session: IV
Chair: Gasenzer
09:00-09:30 Indexing data structures Eric Rivals
09:30-10:00 Big Data and uncertainty quantification: challenges and perspectives Vincent Heuveline
10:00-10:30 Studying biological structure formation processes by atomistic Monte Carlo simulations Olaf Zimmermann
10:30-11:00 Coffee Break  
  Session: V
Chair: Winkler
11:00-11:30 Reducing the complexity of protein folding simulation trajectories using kinetic networks and Markov state models Giovanni Settanni
12:00-12:30 Turning biological data into knowledge: extracting genomic signatures from heterogeneous datasets Carl Herrmann
12:30-13:00 Whole Genome Binding Study of Protein CTCF Nestor N. Oiwa
13:00-14:00 Lunch Break