Jens Lichter

  • Research associate at RTG 2300: Enrichment of European beech forests with conifers - impacts of functional traits on ecosystem functioning

Educational background:

  • 2018 – 2020: M.Sc., Applied Statistics, Georg-August University Göttingen
  • 2013 – 2018: B.A., Economics, Georg-August University Göttingen, including an ERASMUS exchange year at the University of Nottingham

Research interests:

  • Bayesian semiparametric regression
  • Variational Inference
  • Deep Learning

Publications and contributions:

  1. Thielmann, A., Seifert, Q., and Lichter, J. (2020). Sign language recognition using regularized convolutional neural networks. In B. Säfken, A. Silbersdorff, and C. Weisser (Eds.), Learning Deep - Perspectives on Deep Learning Algorithms and Artificial Intelligence (pp. 53–70), Universitätsverlag Göttingen
  2. Lichter, J., Hosius, E., Wacker, B. and Schlüter, J. (2020). Der Einfluss von Offshore-Windenergie auf die EEX-Strompreise, Zeitschrift für Energiewirtschaft, 44:85-99