Tosca Lechner

I am a Ph.D. student at the University of Waterloo working with Professor Shai Ben-David. Before moving to Waterloo, I did my masters at the University of Tübingen in Cognitive Science. I wrote my master thesis on "Domain Adaptation and Causal Assumptions" at the Max-Planck Institute for Intelligent Systems under the supervision of Professor Ruth Urner. Prior to that, I did my bachelor's degree in Mathematics at Ludwig-Maximilians-Universität, Munich.

I am interested in facilitating a better understanding of Machine Learning models and their limitations by means of a mathematical analysis. I aim to find intuitive assumptions that are meaningful in practice and lead to formal guarantees in scenarios in which common statistical assumptions break down, such as transfer learning. I believe that by developing tools that make the limitations of a model more explicit, it becomes easier to assess the trustworthiness of a model's prediction. My current research also focuses on identifying and characterizing potential sources of unfairness in automated decision making and developing new interpretable frameworks in which to address the issue of algorithmic fairness.


Design borrowed from vikrams.