Robin Pauli

Robin Pauli has extensive work experience in the field of machine learning and data science. Robin is currently employed at Tulip Interfaces as a Machine Learning Engineer, starting in November 2022. Prior to this, they worked at AiSight from January 2020 to August 2021, starting as a Research Scientist, AI and later transitioning to the role of Techlead Datascience from September 2021 to September 2022. At AiSight, Robin was involved in developing a solution that utilized machine learning algorithms to determine the state of a machine in real-time, predict errors, and dynamically regulate machine parameters based on sensor data.

Before joining AiSight, Robin worked as a Doctoral Researcher at Forschungszentrum Jülich from December 2014 to December 2019. Their research focused on the theory and simulations of dynamics in neural networks and their applications in intraoperative deep brain stimulation. Prior to this role, Robin also worked as a Wissenschaftlicher Mitarbeiter mit akademischem Abschluss at Forschungszentrum Jülich from October 2013 to October 2014.

Overall, Robin Pauli's work experience showcases their expertise in machine learning, data science, and research in neural networks.

Robin Pauli has a strong educational background in the field of Physics. They pursued a Bachelor of Science degree in Physics from RWTH Aachen University, completing it between 2009 and 2012. Following this, they enrolled at the University of Düsseldorf, where they obtained a Master of Science degree in Physics from 2012 to 2014. Building upon their knowledge and expertise, Robin Pauli then moved on to pursue a Doktor degree at RWTH Aachen University. Their focus for their Doktor degree was in the area of Computational Neuroscience within the field of Physics. This educational journey spanned from 2014 to 2021.