Research projects

Causal discovery

Inferring the underlying causal structure from observational data with temporal or external information, and measure the impact of misrepresenting DAGs.

Trend analysis

Bayesian trend analysis based on Gaussian processes to infer the probability that a change in trend has occurred.

Stats communication

Communicating statistics and interpreting results from statistical results in research papers.

Trajectory analysis

Using machine learning for latent class trajectory analysis in epidemiology for unsupervised hierarchical subclassification of eating disorders.

Sports Statistics

Analysis of data related to sports performance, such as team stats and game outcomes. Techniques involve the study of trends and patterns in the data to make predictions about future performance, player injuries or coaching decisions.

Image analysis of joints

Artificial intelligence in veterinary diagnostic imaging to classify fragments in joints. Measuring the added benefit of augmented decision-making and quality control.

Integrative data analysis

Developing new statistical tools for integrative data analysis to simultaneously analyze multi-platform biological data.