Celestine Mendler-Dünner is a postdoctoral researcher in the Analytics infrastructure group at IBM Research - Zurich. Her research focuses on algorithmic aspects of machine learning and artificial intelligence and their interplay with computer systems.
Celestine has originally joined the IBM Research – Zurich Laboratory in 2014 as a student intern and member of the Non-volatile Memory Systems group. During this time she worked on modeling the threshold voltage signals from MLC NAND flash memory devices based on experimental data. In 2015 she joined the Analytics infrastructure group as a predoc and focused her research around distributed, large-scale machine learning. She conducted her PhD at IBM affiliated with the ETH data analytics laboratory led by professor Thomas Hofmann.
Celestine received her Bachelor’s and Master’s degrees in Electrical Engineering and Information Technology from ETH Zurich in 2012 and 2015, respectively.