Christian Schön

Overview

Christian Schön
Ph.D. student
Big Data Analytics Group
Campus E1.1, room 3.16
66123 Saarbrücken, Germany

e-mail: christian.schoen at uni-saarland.de

I am a Ph.D. student at the Big Data Analytics Group at Saarland University. My main topics are:

• The combination of machine learning and meteorology for weather prediction, especially the nowcasting of thunderstorms
• The exploration of hybrid index structures, combining different data layouts, search methods and other interesting properties

Besides I am a member of the Saarbrücken Graduate School of Computer Science since 2019.

Publications

• Dittrich Jens, Nix Joris, Schön Christian
  The next 50 Years in Database Indexing or: The Case for Automatically Generated Index Structures
  PVLDB Vol. 15/VLDB 2022.
  
• Schön Christian, Dittrich Jens
  Make Thunderbolts Less Frightening - Predicting Extreme Weather Using Deep Learning
  NeurIPS 2019 Workshop on Tackling Climate Change with Machine Learning
  
• Schön Christian, Dittrich Jens, Müller Richard
  The Error is the Feature: How to Forecast Lightning using a Model Prediction Error
  KDD 2019
  

Projects

• Weather Prediction Using Deep Learning: How to predict weather phenomena using machine learning algorithms.

Teaching

Courses

Positions

• October 2018 - now
  Ph.D. Student
  Big Data Analytics Group, Saarland University

Studies

• 2017 - 2018
  M.Sc. in Computer Science
  Saarland University
• 2011 - 2017
  B.Sc. in Computer Science
  Saarland University