Gian M. Favero
A graduate student at McGill University and Mila - Quebec AI Institute obtaining an MSc. in Electrical and Computer Engineering. Research lies in application of variational diffusion models for image and video synthesis in the medical domain under the supervision of Tal Arbel and Chris Pal. Research internship with Disney Research Studios in neural style transfer using deep learning and generative models.
A graduate of the University of Windsor’s Electrical Engineering program (BASc.) who held its highest GPA from 2019-2023. Industry experience spans across embedded software development and hardware design (APAG CoSyst), software integration and automated testing (Tesla Inc.), and system validation (Stellantis). Research involvement in pouch cell modelling (I-FuELs).
news
| Mar 27, 2025 | “Conditional Diffusion Models are Medical Image Classifiers that Provide Explainability and Uncertainty for Free” has been accepted to MIDL 2025 |
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| Feb 27, 2025 | “Spatio-Temporal Conditional Diffusion Model for Forecasting Future Multiple Sclerosis Lesion Masks Conditioned on Treatments” has been submitted for review |
| Jan 31, 2025 | “Conditional Diffusion Models are Medical Image Classifiers that Provide Explainability and Uncertainty for Free” has been submitted for review |
| Jan 22, 2025 | “Beyond FVD: Enhanced Evaluation Metrics for Video Generation Quality” has been accepted to ICLR 2025 |