He is an expert on algorithmic statistics and machine learning. He has published seminal papers focusing on unsupervised and minimally supervised learning. He works in the development of algorithms for data analysis of high dimensional data, such as those coming from high-throughput measurement technologies such as microarrays and massively parallel sequencing projects. He also develops Hidden Markov Models in the context of identifying patterns in sensor data.