News

As the adoption of Electronic Health Records (EHRs) increases in the USA, the complexity of EHR data is growing dramatically. EHR data now covers diverse information about patients, including diagnosis, medication, lab results, genomic information and clinical notes. However, such large volumes of information do not readily provide accurate and succinct patient representations for effective and customized healthcare.

In August, WNCG Professor Francois Baccelli co-organized a workshop at the Issac Newton Institute for Mathematical Sciences in Cambridge (UK) with Venkat Anantharam (Berkeley), Sergey Foss (Heriot-Watt) and Peter Glynn (Stanford). The workshop was titled Stochastic Processes and Communication Science. The workshop was focused on probabilistic techniques for the analysis of networks, with central applications in communications, social networks and energy systems. The meeting concentrated around three major mathematical themes: stochastic networks, big data analysis, spatial stochastic models.