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  • Overview
  • 8:00 AM to 4:30 PM
  • Royal Ontario Museum, 100 Queen's Park, Toronto, ON M5S 2C6


Toronto General Research Institute (TGRI) is happy to announce that this year’s Research Day will be held on Thursday, October 6th, 2016 at the Royal Ontario Museum, 100 Queen's Park, Toronto.  

Our keynote speaker Dr. Geoffrey Hinton, Professor at the University of Toronto and Distinguished Researcher at Google will be presenting 'Deep learning and its applications'

This event is a celebration of TGRI achievements in basic and clinical research and an opportunity to promote interdepartmental and cross pillar collaborations among researchers.  TGRI Research Day is open to all TGRI Scientists, Clinician Scientists, trainees and staff.

Undergraduate students, MSc students, PhD students, and postdoctoral fellows are invited to submit a first-author abstract of their research, either completed or in progress to the Research Day poster competition.  To highlight TGRI’s many areas of research and to encourage collaboration and discussions between groups, all abstracts submitted will be published in our Research Day booklet.  New this year, the first round of poster judging will take place prior to Research Day.  The TGRI leadership team and TGRI faculty and staff will grade the abstracts and up to 50 abstracts will be accepted as posters.  Those with the highest ranked abstracts will be asked to give a brief presentation of their posters during Research Day, and the winners will be presented with an award. 

Abstract submissions are due by September 2nd, 2016.  Abstract submission is part of the registration process; if you plan to submit an abstract, DO NOT register until your abstract is ready.  If you are not submitting an abstract, please register as a General Attendee as soon as possible.

General registration closes September 16th, 2016.

Online registration is mandatory so the proper seating, catering, and materials can be provided.

TGRI Research Day 2016 is organized by the TGRI Directorate (TGH, 1N-121);  

We are very pleased to have Dr. Geoffrey Hinton present at TGRI Research Day 2016!

Deep learning and its applications
In the first part of the talk, I will explain how to learn the strengths of the connections in networks of simple processing units that bear some resemblance to neurons.  In the second part, I will describe some of the major recent successes of this approach for tasks as diverse as speech recognition, object classification, machine translation, and drug design. In the third part, I will speculate on some of the ways in which deep learning will soon transform medicine.

Geoffrey Hinton received his BA in Experimental Psychology from Cambridge in 1970 and his PhD in Artificial Intelligence from Edinburgh in 1978.  He did postdoctoral work at the University of California San Diego and spent five years as a faculty member in Computer Science at Carnegie-Mellon. He then became a fellow of the Canadian Institute for Advanced Research and moved to the Department of Computer Science at the University of Toronto. He spent three years from 1998 until 2001 setting up the Gatsby Computational Neuroscience Unit at University College London and then returned to the University of Toronto where he is a University Professor. In 2013, he became a Distinguished Researcher at Google and he now works part-time at the University of Toronto and part-time at Google.
He is a fellow of the Royal Society and the Royal Society of Canada.
He is an honorary foreign member of the National Academy of Engineering and the American Academy of Arts and Sciences. He was awarded the first David E. Rumelhart prize (2001), the IJCAI award for research excellence (2005), the IEEE Neural Network Pioneer award (1998), the ITAC/NSERC award for contributions to information technology (1992), the Killam prize for Engineering (2012), the IEEE James Clerk Maxwell Gold Medal for ground-breaking contributions with exceptional impact (2016) and the NSERC Herzberg Gold Medal (2010) which is Canada's top award in Science and Engineering.
Geoffrey Hinton designs machine learning algorithms. He was one of the researchers who introduced the back-propagation algorithm that has been widely used for practical applications. In 2005 he published the first paper on deep belief nets which initiated a resurgence of interest in neural networks. His students then made seminal advances in the application of deep neural networks to speech recognition, object classification, and drug design.


Abstract submissions are due by September 2nd, 2016.  No late submissions will be accepted.
If you wish to submit a first-authored abstract for the poster presentation, please note that abstract submission and registration are part of the same process.  Please register only if your abstract is also ready for submission.

All posters submitted will be published in the Research Day booklet.  New this year, poster participants will be selected and front runners will be announced by TGRI leadership prior to Research Day.  TGRI directorate will notify you by September 11th, 2016 if your abstract has been accepted and if you have been selected to give a brief presentation of your poster on Research Day for the final round of judging. 

Poster Details:  Maximum size (height x length): 3' x 6' (36" x 72") (1m x 2m)

Submission Instructions:

Abstract Authors:  Please type in all names using the first initial followed by the author's last name. A comma should separate author names. The final name should be followed by a period.
For example: SR Wilson, MK O'Reilly, JP Leduc, and BA Bell.

Affiliations:  Please type in all affiliations.  A comma should separate each affiliation.  The final affiliation should be followed by a period. 
For example:  Toronto General Research Institute, Toronto, ON and University of Toronto, Toronto, ON.

Abstract:  Abstracts are limited to 2000 characters with spaces.  Proofread your abstract for accuracy.
Poster space is limited; only one first-authored abstract per registrant may be submitted.

Abstracts will be accepted from undergraduate students, MSc students, PhD students, and postdoctoral fellows. You must be the presenting author and first author in order to be judged in the poster competition. 

Research Day will be held at the the Royal Ontario Museum, 100 Queen's Park, Toronto, ON, M5S 2C6, at Museum station.  The venue is approximately a 20 minute walk from TGH.


Research Day comments and inquiries:
Alena Siarheyeva at

Thursday, October 6th, 2016

8:00 – 9:00 AM
Registration and breakfast, poster set-up
9:00 – 9:30 AM


Welcome: Year in Review
Mansoor Husain, Director, TGHRI
New EVP Introduction: Dr. Bradly G. Wouters
9:30 – 10:30 AM


Keynote Speaker
Geoffrey Hinton, University of Toronto
Department of Computer Science
Deep learning and its application
10:30–10:50 AM

10:50 – 12:30PM


Coffee Break
Oral Session I
Chair: Myron Cybulsky
(10:50– 11:25)


Eleanor Fish
Advanced Diagnostics


Infections and immunity: from bench to bedside and beyond


(11:25 – 12:00)


John Floras
Advanced Diagnostics
Heart. Brain. Failure


(12:00 – 12:30)


Adam Gehring
Experimental Therapeutics
Manipulating immunity to develop personalized therapeutic vaccine strategies for Hepatitis B
12:30 – 1:30 PM
1:30 – 2:30 PM
Lunch, Poster Viewing
Moderated Poster Presentations  and Judging
2:30 - 4:10 PM


Oral Session II
Chair: Mansoor Husain
(2:30 – 3:00)

(3:00 - 3:15)

(3:15 - 3:30)


Bryan Coburn
Advanced Diagnostics

Valeria Rac

Coffee Break


The microbiota as a diagnostic and therapeutic target in critical illness and transplantation

THETA Collaborative  – Health Technology Assessment and Health Services Research


(3:30 – 4:00)
Angela Cheung
Systems, Support & Outcomes
Bone and Muscle: the final frontier


(4:00 – 4:15)
Dwayne L. Barber


Who’s afraid of Health Canada? Building Regulatory Capacity in UHN


4:15 – 4:30 PM


TGHRI Postdoctoral Fellow Awards
Poster Competition Awards
Presented by:  Dr. Mansoor Husain, Director, TGHRI
Thursday, October 6, 2016 - 08:00 to 16:30