Currently, Peter manages the "Scalable Knowledge Ingestion" group at the IBM Research - Zurich Laboratory. The group focusses on the development of the Deep Search platfrom, which consists of cloud native services that ingest large corpora of technical documents and extracts the knowledge contained in them.
Peter joined the IBM Research - Zurich Laboratory in July of 2014 as a post-doctoral researcher. The Belgium-born scientist first came to IBM Research as a summer student in 2006.
Prior to joining IBM Research, He was a post-doctoral researcher in Theoretical Physics and PASC (Platform for Advanced Scientific Computing) at the Swiss Federal Institute of Technology (ETH) in Zurich, Switzerland.
Peter has twice been a finalist for the prestigious ACM Gordon Bell award, first in 2013 for his paper entitled "Taking a Quantum Leap in Time to Solution for Simulations of High-Tc Superconductors" and then in 2015 for his paper entitled "An Extreme-Scale Implicit Solver for Complex PDEs: Highly Heterogeneous Flow in Earth Mantle." The last submission won the Gordon Bell prize.
Other significant academic achievements include "Best Paper Award" at IPDPS 2016 (for novel, linear-scaling graph analytics) and "Applied AI Application Award" at IAAI 2021 (for novel PDF document conversion ML models).