The McGill initiative in Computational Medicine is pleased to report that even given the new reality of limited access to university facilities, PIs and graduate students from the life science and clinical domains were able to connect with colleagues from data sciences in the third iteration of ResearchMatch. From the original 20 ResearchMatch applications received, 5 projects successfully found a collaborator within the McGill community and worked together over the summer.
The top three project winners will be announced in late October 2020.
| Axis | Applicants | Title | Awards |
|---|---|---|---|
| Clinical research |
Alireza Heidari, Cristina Pop & Dominique Shum-Tim |
Patient-Specific Computational Modeling of the Heart Failure for COVID-19 Cases |
TBA |
| Life science research | Anmar Khadra, Nikolas Cermakian & Nasri Balit |
A complex systems approach to study the circadian regulation of signalling pathways in T cells |
TBA |
| Life science research |
Qing Wang, Jean-Baptiste Poline & Abbas Sadikot |
The generalizability of connectivity-Based PD prediction model: large open to small local datasets |
TBA |
| Life science research |
Jo Stratton & Maxime Caron |
Single cell transcriptomics to predict developmental dynamics, function and heterogeneity of human ependymal cells |
TBA |
| Life science research | Yanis Ingelbert & Niklas Brake |
Exploring the role of Synaptopodin and Spine Apparatus in synaptic plasticity and learning |
TBA |
