At August 2020 I have received the Postdoc MITACS Accelerate Scholarship to work jointly with McGill and ElementAI. I have graduated with a PhD from UBC under the supervision of Mark Schmidt on May 2020 with a thesis focused on weakly supervised computer vision methods.
I am constantly,A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images
Counting by Localization with Point Supervision
Faster Greedy Rules, Message-Passing, Active-Set Complexity, and Superlinear Convergence
Coordinate Descent Converges Faster with the Gauss-Southwell Rule Than Random Selection
"Works very fast and maintains world-class standards." - John
"Very collaborative." - Johnny
"Very positive." - Jackson