Statistics Graduate Student Research Day is an annual one day conference organized by the Department of Statistical Sciences, University of Toronto (DOSS) and the Statistics Graduate Students Union (SGSU). Research Day, rst organized in 2009, is specically aimed at the graduate students of the DOSS or of any department who are interested in statistical research. It exposes them to current research areas and methods in the field of statistics, and introduces them to leading experts. It provides an academic forum where they can present, discuss and receive feedback on their research from peers, faculty, and the invited guests; DOSS graduate students are invited to give a talk and a research poster competition also takes place.

The 2019 edition of Research Day will focus on high-dimensional inference and computation, with applications to big data. The high-dimensional setting is one where classical asymptotic results do not hold : the number of model parameters $p$ is much greater than the number of observations $n$, and $p$ is not fixed as $n$ increases. This kind of data arises naturally from sources such as social networks, satellites and genetics. Analyzing these large data sets presents computational challenges, hence the connection with big data.