My research focuses on probabilistic machine learning and data science.
Currently, I am particularly interested in approximate inference for neural networks and biomedical applications. I want to design algorithms that can incorporate prior knowledge, quantify uncertainty, and automatically select the most likely model given data. Especially in the context of neural networks, these problems remain challenging. I have previously worked on methods for time series, e.g., mobility and political data.