Kasper Piskorski, PhD

Kasper Piskorski, PhD has had a diverse range of work experience in various roles and industries.

Starting in 2009, they worked as a Research Intern at the Max-Planck Institute for Solid State Research in Stuttgart, Germany. Here, they conducted experimental work on low-dimensional semiconductor devices under the supervision of Physics Nobel Laureate Prof. von Klitzing.

In 2014, Piskorski joined Ontoit Holdings Ltd. as a Consultant, where they utilized their expertise in an advisory capacity.

In 2015, they began working at Grakn Labs as a Senior Research and Development Engineer. In this role, they spearheaded the Grakn Reasoning project, which is part of a distributed knowledge graph and knowledge management system. Kasper combined research in graph-based Knowledge Representation and Automated Reasoning with architecture design and development.

In 2020, Piskorski joined Beamery as a Knowledge Graph Engineer, where they played a key role in the development of the Beamery Knowledge Graph. This graph serves as a unified and high-quality source of truth for the recruitment domain within Beamery's Talent Operating System. Piskorski collaborated with NLP and data science teams to ensure the accuracy and integrity of the graph.

Most recently, in 2022, Piskorski joined Access Intelligence Plc as a Lead Machine Learning Engineer. Further details about this role, such as specific responsibilities and accomplishments, were not provided.

Kasper Piskorski, PhD, completed their education in a chronological order. Kasper began their academic journey at the University of Birmingham, where they obtained a Bachelor's Degree in Theoretical Physics in an undisclosed year. Following this, Kasper pursued a Master's Degree in Scientific Computing at the University of Cambridge from 2011 to 2012. Building upon their previous knowledge, they continued at the University of Cambridge to complete their Doctor of Philosophy (Ph.D.) in Scientific Computing from 2012 to 2016.