About me

Ah yes, I’ve been expecting you!

Anyways, my name is Ričards Marcinkevičs (rɪʧɑrdz mɑrtsɪnkɛvɪʧ; Russian: Ричард Марцинкевич). I was born in Rīga, Latvia, in 1995. Currently, I am a PhD student at the Institute for Machine Learning, Department of Computer Science, ETH Zürich. I am a Medical Data Science group member supervised by Prof. Dr. Julia E. Vogt and co-advised by Prof. Dr. Fanny Yang.

Before pursuing a doctoral degree, I obtained an M.Sc. in Statistics at the Seminar for Statistics, ETH Zürich, and a B.Sc. in Knowledge Engineering and Data Science at the Department of Data Science and Knowledge Engineering (DKE), Maastricht University. During my master’s thesis, I worked on causal inference in time series for identifying molecular fingerprints during sleep under the supervision of Prof. Dr. Joachim M. Buhmann and Dr. Đorđe Miladinović. During my bachelor’s, I interned for two years at the Medtronic Bakken Research Center (BRC) in Maastricht.

At the moment, I am broadly interested in interpretable and explainable machine learning. In particular, I would like to understand what are the inductive biases for neural networks that may render the model interpretable in specific use-cases and how such inductive biases may be incorporated into the model? Moreover, how can we leverage interpretations and explanations to obtain actionable insights about the data or the model itself, for instance, to perform scientific discovery or make our classifiers fairer and more robust? From the application perspective, I work on time series and survival analysis and enjoy participating in interdisciplinary projects and leveraging ML methods to analyse biomedical data.

Starting from September 2024, I will be on the job market. I would love to hear about new opportunities!

In my leisure time, I enjoy learning about classic Russian literature and ancient history. Like many Latvians, I love contemplating the meaning of life by the Baltic Sea and occasional angling.