Theresa Stadler is a PhD Research Assistant at the SPRING Lab at EPFL (Switzerland) led by Carmela Troncoso. Her research focuses on the privacy aspects of data processing systems centred around questions such as: How to evaluate the privacy properties of opaque data processing systems? What are the privacy limits of machine learning-based applications? What learning tasks are solvable under good privacy and good utility simultaneously? 
Her work has been featured on multiple national media outlets and continues to inform policy makers on a national and European level. 
 
Before joining EPFL, Theresa previously worked as a privacy researcher for Privitar, a London-based scale-up, where she developed enterprise software that implements privacy-enhancing technologies and aims to makes these technologies available to organisations at scale. She holds a Master's degree in Neural Information Processing (Biomathematics) from the University of Tübingen (Germany).