About me:
I’m pursuing my PhD at the AI-Med lab, focusing on invariant prediction and causality in machine learning. My research aims to enhance automatic decision-making systems, with an emphasis on developing algorithms that are interpretable, robust, and generalizable across different environments. I bring experience in causal inference, machine learning, deep learning, and software engineering from various professional roles and projects. Prior to my PhD, I completed my Master’s in Informatics at TUM.
E-Mail: emre.kavak@tum.de
Links: LinkedIn
Research Areas/Keywords:
- Causality / Causal Inference
- Domain Generalization
- Fairness
- Bias / Debiasing / Bias-Removal
- Predictive Robustness and Invariance