Dr. Franz Elsner

- Implementing reinforcement learning algorithms to optimize marketing strategies: + Implementing a PoC to minimize customer churn rates using next-best action marketing + Implementing a recommendation engine for web shops to reduce online returns - Applying supervised learning to problems arising in the field of life sciences: + Developing deep neural networks to automatically diagnose leukemia + Utilize decision trees to facilitate an automated diagnosis of common skin diseases

- Developing novel techniques for the exploration of high-dimensional parameter spaces. - Simultaneous measurement of 10^7 correlated parameters. - Quantitative estimate of statistical uncertainties.

- Continuing my work for the Planck satellite experiment. - Developing of improved estimators for the data analysis of next generation optical telescopes. - Characterizing the statistical properties of these estimators using large numbers of simulations.

- Joining the international collaboration of the Planck space observatory. - Deriving a statistical model of the data set. - Developing, implementing, and maintaining the software pipeline for the main analysis of Planck. - Verifying the analysis pipeline using large numbers of simulations.