Speaker
Description
Advanced data analysis and machine learning techniques are increasingly required to optimally exploit large experimental or observational data sets to answer fundamental physics, astrophysics, and cosmology research questions. In recent years, OKC members' coherent efforts have created a thriving community of computational physicists and data analysts, culminating in the recent establishment of Machine Learning as an interdisciplinary working group of the OKC. I will give a brief overview of the current state and successes of this endeavor, such as the construction of a high-performance computer cluster. I will further outline planned developments of data science activities at the center. Particular emphasis will be given to strengthening technology development, training, and education, and a public outreach and knowledge transfer program. A core aspect of our knowledge and technology transfer program aims to build new University-Industry links through our OKC Alumni network.
