Olof Rännbäck-Garpinger

Olof Rännbäck-Garpinger has a diverse work experience. Olof started their career as a Ph.D. student at Lund University in 2005, specializing in optimal design of robust PID controllers with limited noise sensitivity. After completing their Ph.D., they continued as a researcher at the university, deriving optimal controllers for benchmark models in the process industry and updating their own Matlab-based toolbox for control design. In 2010, Olof joined Alten Sweden as a Control and Data Analysis Consultant, where they worked on analyzing and controlling the friction stir welding process for the Swedish Nuclear Fuel and Waste Management Company. Olof analyzed large amounts of data from over 250 welds and developed strategies for temperature and depth control. In 2018, they moved to Knightec AB as a Data Scientist, working on a project analyzing data from the Vasaloppet, a Swedish cross-country ski race, and developing a split time recommender. Olof also shared their data science skills through presentations and wrote an article on data science for Knightec's website. Since 2019, Olof has been working at Verisure, initially as a Data Scientist and ML/DS Chapter Lead and later as a Senior Data Scientist and ML/DS Chapter Lead. The summary showcases Olof's strong background in control and data analysis, as well as their expertise in data science and machine learning.

Olof Rännbäck-Garpinger obtained a Master of Science (M.Sc.) degree in Engineering Physics from the Faculty of Engineering at Lund University in 2005. Olof went on to earn a Tech. Lic. degree in Automatic Control from the same institution in 2009. In 2015, they completed their education with a Doctor of Technology degree in Automatic Control from the Faculty of Engineering at Lund University. In addition to their formal education, Olof has acquired various certifications in subjects such as survival analysis, Azure fundamentals, deep learning, machine learning, and big data through online courses and institutions like Udemy, Microsoft, Coursera, and Stanford University.