I am a PhD student in the Machine Learning Group at TU Berlin and at the Berlin Institute for the Foundations of Learning and Data (BIFOLD). In addition, I am a Data Scientist at Aignostics, where I am working on data-driven drug target identification in collaboration with Bayer Pharmaceuticals. During my Master’s in Computer Science at TU Berlin, I worked on explainable graph neural networks for survival prediction in lung cancer and was funded by the Konrad Zuse School of Excellence in Learning and Intelligent Systems (ELIZA).

My research lies at the intersection of generative modeling, causal inference, and computational biology, with a focus on precision medicine applications and developing models that simulate cellular responses to inform therapeutic decision-making. Feel free to reach out to me if you have similar research interests and would like to collaborate on a project!