Sofia Broomé

Sofia Broomé has a strong background in machine learning and artificial intelligence. Sofia began their career as a Servitris at La Conserverie in Paris, where they gained knowledge about wine, cheese, and French cuisine. Sofia then worked as a Läxhjälpare at Stiftelsen Läxhjälpen, helping students in less integrated suburbs of Stockholm with their homework. Afterwards, Sofia joined Studybuddy AB as a Studybuddy, teaching mathematics during preparatory courses for the Swedish Scholastic Aptitude test and assisting junior high school students with their studies.

In 2016, Sofia took on a Machine Learning Internship at Watty, a startup dedicated to reducing energy waste through machine learning. Sofia worked on solving the disaggregation problem, developing experimental search algorithms to find repeated patterns in time series. Sofia also tested traditional ML-methods and presented their results during biweekly demos.

Sofia's academic journey commenced in 2016 as a Teaching Assistant in Artificial Intelligence at KTH Royal Institute of Technology. In 2017, they became a PhD Student in Machine Learning at the same institution, specializing in robotics, perception, and learning. During their PhD program, Sofia was mentored by Prof. Hedvig Kjellström.

Most recently, in 2022, Sofia joined TheraPanacea as an ML R&D Engineer.

Sofia Broomé's education history begins in 2006 when they attended Södra Latins Gymnasium and pursued the social science program until 2009. In 2007 and 2008, they also attended Svenska skolan i Paris, although no specific degree or field of study is mentioned for this period. In 2010, Sofia enrolled in the KTH Royal Institute of Technology, where they completed the Technical Preparatory Year. From 2011 to 2014, they pursued a Bachelor's degree in Engineering Physics at the same institution. In 2011, Sofia also started their Civilingenjörsexamen in Teknisk fysik at KTH Royal Institute of Technology, which they completed in 2017. Additionally, they simultaneously pursued a Master of Science (MSc) degree in Machine Learning from 2015 to 2017 at KTH Royal Institute of Technology.