Graduate Student Research Day: a day of learning and meeting leading experts

May 30, 2019 by Department of Statistical Sciences

Now in its 10th year, the 2019 Statistics Graduate Student Research Day gave graduate students across the University of Toronto once more the opportunity to catch up on the latest statistics research and meet leading experts in the field.

This year’s talks focused on big data high-dimensional inference and computation. The impressive line-up of speakers included 2018 COPSS Presidents' Award winner Richard Samworth, Chair of Biostatistics at the University of Michigan School of Public Health Bhramar Mukherjee, University of Pennsylvania’s Edward George and University of Connecticut’s Elizabeth Schifano.

For grad students in the Department of Statistical Sciences, the event is also a forum for presenting and discussing their research with peers, faculty, and guests. Graduate students gave talks on their latest research projects and participated in a research poster competition.

Many thanks to the Fields Institute and the Canadian Statistical Sciences Institute (CANSSI) for their outstanding support.


Richard Samworth giving a talk

2018 COPSS Presidents' Award winner Richard Samworth's talk focused on shape-constrained non-parametric density estimation.


Bhramar Mukherjee gives a speech

Chair of Biostatistics at the University of Michigan School of Public Health Bhramar Mukherjee spoke about the impact of the data revolution on statistical research.


Grad students discussing a reserach poster

Graduate students took part in a poster presentation presenting on a wider range of statistical topics.


Edward George gives a talk

Edward George showed how the spike-and-slab methodology, widely used in Bayesian variable selection, can be used for likelihood-based estimation.


Two students discuss statistical graph on chalkboard

Two graduate students discuss a research project at the event.


Elizabeth Schifano gives a talk

In her talk, Elizabeth Schifano outlined her recent work in the analysis of “big stream data”.


3 Phd students presenting their research

PhD students Mufan Li, Arvind Shrivats, and Alex Gao (left to right) presented their latest research.


Postdoc Zacharie Naulet gives a talk

Zacharie Naulet, a postdoctoral fellow at the Department of Statistics of the University of Toronto, spoke aboutadaptive Bayesian density estimation in sup-norm.


group photo at research day 2019

Many thanks to everyone who could make it to Research Day 2019. See you next year!


Have a look at our full photo gallery.

Watch all talks at the FieldsLive video archive.