UNIQUE Conference Travel Grants

UNIQUE Conference Travel Grants

Fall 2022/Winter 2023  Competition

[Competition closed] 

UNIQUE offers a limited number of conference travel grants to its students who will be presenting a paper (oral or poster) at a national or international scientific meeting. A maximum amount of $1,000 is provided to each recipient to cover expenses related to travel, accommodation and registration fees.

List of awardees

Fall 2022/Winter 2023 Competition


Jonathan Cornford, Department of Neurology and Neurosurgery, McGill University

Exploring learning in neural networks with brain-inspired geometries

Neuroscience 2022, San Diego, USA, November 12-16, 2022

Supervisor: Richard Blake


Naga Karthik Enamundram, Institut de génie biomédical, Polytechnique Montréal

Segmentation of Multiple Sclerosis Lesions across Hospitals: Learn Continually or Train from Scratch?

Neural Information Processing Systems, New Orleans, USA, November 29-December, 2022

Supervisors: Julien Cohen Adad & Farida Cheriet


Daniel Levenstein, Department of Neurology and Neurosurgery, McGill University

A predictive learning model for autonomously generated replay in the hippocampus

Neuroscience 2022, San Diego, USA, November 12-16, 2022

Supervisors: Richard Blake & Adrien Peyrache


Sarthak Mittal, Département d’informatique et de recherche opérationnelle, Université de Montréal

Is a Modular Architecture Enough?

Neural Information Processing Systems, New Orleans, USA, November 28 – December 9, 2022

Supervisors: Guillaume Lajoie & Yoshua Bengio

Summer 2022 Competition

Frédéric Beaupré, Département de biochimie, de microbiologie et de bio-informatique, Université Laval

Detection and localization of synaptic anomalies using deep learning and super-resolution STED microscopy

Optics and Photonics in Medicine and Biology: Exploring the Role of Machine Learning in the Future of Biophotonics (Gordon Research Seminar), Lewiston, USA, July 9-10, 2022

Supervisors: Christian Gagné & Flavie Lavoie-Cardinal

 

Nikhil Bhagwat, Department of Neurology and Neurosurgery, McGill University

Assessment of brain-age prediction on longitudinal structural MR imaging data

Organization for Human Brain Mapping annual meeting (OHBM), Glasgow, Scotland, June 19-23, 2022

Supervisor: Jean-Baptiste Poline

 

Anthony Bilodeau, Département de biochimie, de microbiologie et de bio-informatique, Université Laval

Microscopy analysis neural network to solve detection, enumeration, and segmentation from image-level annotations

Optics and Photonics in Medicine and Biology: Exploring the Role of Machine Learning in the Future of Biophotonic (Gordon Research Seminar), Lewiston, USA, July 9-10, 2022

Supervisors: Flavie Lavoie-Cardinal & Audrey Durand

 

Catherine Bouchard, Département de génie électrique et de génie informatique, Université Laval

Generative Adversarial Network Assisted Super-Resolution Imaging

Optics and Photonics in Medicine and Biology: Exploring the Role of Machine Learning in the Future of Biophotonic (Gordon Research Seminar), Lewiston, USA, July 9-10, 2022

Supervisors: Christian Gagné & Flavie Lavoie-Cardinal
(Funding declined by the awardee)

 

Joshua Durso-Finley, Department of Electrical and Computer Engineering, McGill University

Personalized Prediction of Future Lesion Activity and Treatment Effect in Multiple Sclerosis from Baseline MRI

Medical Imaging with Deep Learning (MIDL), Zurich, Switzerland, July 6-8, 2022

Supervisor: Tal Arbel

 

Naga Karthik Enamundram, Génie biomédical, Polytechnique Montréal

Automatic segmentation of hyperintense lesions in acute spinal cord injury from T2-weighted MRI scans

Quebec Bio-Imaging Network Scientific Day 2022, Sherbrooke, Canada, June 2, 2022

Supervisor: Julien Cohen-Adad

 

Ziqi Hao, Medicine, McGill University

Deep Learning for Brain Extraction from a Small and Diverse Dataset of Primate MRI

Organization for Human Brain Mapping annual meeting (OHBM), Glasgow, Scotland, June 19-23, 2022

Supervisor: Amir Shmuel

 

Dongyan Lin, Integrated Program in Neuroscience, McGill University

Heterogeneous Representations of Variables in Task-Optimized DRL Agents Depend on Task-Relevance

The 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM2022), Providence, RI, USA, June 8-11, 2022

Supervisor: Blake Richards

 

Laura Suarez, Neurology and neurosurgery, McGill University

Conn2res: a toolbox for connectome-based reservoir computing

Organization for Human Brain Mapping annual meeting (OHBM), Glasgow, Scotland, June 19-23, 2022

Supervisors: Bratislav Misic & Guillaume Lajoie

Winter 2020 Competition

Anthony G.X. Chen, Computer Science, McGill University
From Neuroscience to Artificially Intelligent Systems (NAISys) Conference. Cold Spring Harbor Laboratory. NY, USA. March 24-28, 2020.
Supervisors: Blake Richards & Joelle Pineau
(Funding declined by the awardee)

Raymond Chua, Computer Science, McGill University
From Neuroscience to Artificially Intelligent Systems (NAISys) Conference, Cold Spring Harbor Laboratory. NY, USA. March 24-28, 2020.
Supervisors: Doina Precup & Blake Richards
(Funding declined by the awardee)

Victor Geadah, Département de Mathématiques et de statistique, Université de Montréal
Computational and Systems Neuroscience (Cosyne) 2020. Denver, CO, USA. February 27- March 1, 2020,
Supervisor: Guillaume Lajoie
(Funding declined by the awardee)

Samuel Laferriere Cyr, Département d'informatique et de recherche opérationnelle, Université de Montréal
From Neuroscience to Artificially Intelligent Systems (NAISys), Cold Spring Harbor Laboratory. NY, USA. March 24-28, 2020.
Supervisors: Guillaume Lajoie et Blake Richards
(Funding declined by the awardee)

 Ardavan Salehi Nobandegani, Psychology, McGill University
34th AAAI Conference on Artificial Intelligence (AAAI 2020). NY, USA. February 7-12, 2020.
Supervisor: Thomas R. Shultz

Olivier Vincent, Institut de génie biomédical, Polytechnique Montréal
7th Spinal Cord MRI Workshop, University College London. London, United Kingdom. January 20-21, 2020.
Supervisors: Julien Cohen-Adad & Sarah Lippé