Tell me something about yourself?
I was born and raised in Stuttgart, Germany, and attained a MSc in Mathematics from the University of Stuttgart, where I wrote my thesis on learning with singular kernels. Before starting my position as an ESR at PLENOPTIMA and during my studies, I worked at the IT-consulting agency broker2clouds.
The concepts of machine learning are very intriguing to me and I think it is great to live in a time where knowledge is produced and shared at an unprecedented rate. I am ecstatic to have been given the opportunity to do research on fascinating topics and contribute to the advancement of knowledge and curiosity.
Why did you apply to the PLENOPTIMA project?
PLENOPTIMA is made up of people from different regions, life experiences and fields of knowledge. Because of that, PLENOPTIMA seemed like a great opportunity to learn about new concepts related to machine learning and inverse problems and apply them to images while meeting interesting people.
What kind of expectations do you have for your research project and the upcoming network training?
I look forward to acquiring skills in research itself as well as the necessary abilities necessary to present and discuss research findings. My research topic is fascinating and I hope to share interesting results and contribute to scientific progress in as many ways as possible. Also, I am excited to meet people from different fields and learn from them.
Samuel works as Early Stage Researcher at the French Institute for Research in Computer Science and Automation (Inria), France, and his research topic is “Learning Algorithms for Inverse Problems with New Imaging Modalities“.