Dr. Franz Elsner

- Directing and mentoring AI data scientists to develop an automated leukemia diagnostics tool. - Implementing QC processes to ensure robustness of ML models in medical applications. - Collaborating across different teams to align research with market needs. - Leading recruitment efforts to attract top talent. - Developing/executing strategic plans for AI initiatives. - Ensuring regulatory compliance (IVDD/IVDR); audit preparations. - Contributing to long-term company objectives and fundraising strategies.

Implementing reinforcement learning algorithms to enhance marketing strategies: - Working as an AI consultant for companies in finance, insurance, and media. - Implementing RL-optimized campaign management at a leading bank. - Achieving a successful exit with the sale of company assets. Applying machine learning to task automation in the life sciences: - Designing ML models for the automated diagnosis of leukemia. - Establishing a separate company (hema.to) through the spin-off of the leukemia product.

- 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. - Developing, implementing, and maintaining the software pipeline for the main analysis of Planck. - Deriving a statistical model of the data set. - Verifying the analysis pipeline using large numbers of simulations on some of the fastest supercomputers worldwide.