👋 Hi! My name is Ričards Marcinkevičs. 🎓 I pursued a doctorate at the Institute for Machine Learning, Department of Computer Science, ETH Zurich, where I was a Medical Data Science group member supervised by Prof. Dr. Julia E. Vogt and co-advised by Prof. Dr. Fanny Yang. I passed my doctoral exam in July 2024.
🤖 My research interests include interpretable and explainable machine learning, in particular, inductive biases for neural networks that may render the model more interpretable in specific use-cases. I am also interested in how we can leverage interpretations and explanations to obtain actionable insights about the data or the model itself, for instance, to perform scientific discovery or make the predictions fairer and more robust? From the application perspective, I have worked on time series and survival analysis and participated in several interdisciplinary projects leveraging ML methods to analyse biomedical data.
🤝 Starting from September 2024, I am on the job market. I would love to hear about new opportunities!