Teresa Klatzer

Since 2021, I am working on my PhD in Applied and Computational Mathematics on Bayesian Computation for Imaging Science. My supervisors are Konstantinos Zygalakis, Marcelo Pereyra and Yoann Altmann and I am currently affiliated with the BLOOM project. A list of publications can be found here or on my Google Scholar profile.

My current research interests are at the intersection of Bayesian computation, numerical analysis, inverse problems, and machine learning. I am interested in the mathematical foundations of algorithms and methodology to solve problems in the field of imaging science.

Before joining the project BLOOM, I have been working as a software project manager, product owner and agile coach. I have obtained a professional certification in coaching and counselling in Graz, Austria. I am happy to offer mentoring in mental health topics around science (imposter syndrome, challenges as minority students, gender-related issues) and non-normative walks in life.

I have received a MSc in Information and Computer Engineering (Telematics) in 2014 from Graz University of Technology on the topic of “Bi-level Optimization for Support Vector Machines”. Since then, I have been working on my PhD studies until autumn 2017 at the Institute for Computer Graphics and Vision in the group of Thomas Pock, working on the project “Deep variational networks for low-level computer vision”. My research topics included the development of machine learning and optimization methods for applications in low-level image processing and computational photography.