Gian Favero
Member of Technical Staff @ Ideogram
About
Currently a Member of Technical Staff at Ideogram working within the machine learning team. MSc. graduate of Mila and McGill University supervised by Dr. Tal Arbel and Dr. Chris Pal, working with diffusion models in medical imaging. BASc. from the University of Windsor's Electrical and Computer Engineering program; held the highest program cumulative GPA from 2019-2023. Experience via internship at Disney Research | Studios, where I explored stylization using deep learning, as well as an internship at Tesla, working on the bring-up of the Tesla Semi program.
Canada
Toronto
Higher Education
PyTorch, Python (Programming Language), Embedded C, Transformers, CANoe, Vector CANalyzer, Autodesk EAGLE, CANape, Busmaster, Wireshark, Git, Jira, COMSOL, LabVIEW, Swift (Programming Language), C (Programming Language), C++, Raspberry Pi
Experience
Member of Technical Staff
Ideogram
Toronto, ON
Background removal, native transparency, layered design, foundation model alignment
Intern
Disney Research
Zurich, Switzerland
Imaging & video group
Graduate Researcher
Mila - Quebec Artificial Intelligence Institute
Montreal, Quebec, Canada
Design and optimize distributed training pipelines in PyTorch for controllable image and video diffusion. Leverage HPC cluster and multi-modal brain MRI datasets to model neurodegenerative disease progression.
Intern
Stellantis
Designed and led the build of new validation platform to be used in all North American facilities, achieving improvements of 50% in footprint reduction.
Intern
Tesla
Palo Alto, California, United States
Designed and built an automated system that enables rapid full-scale charging tests to be carried out on vehicles. Performed firmware and hardware integration for high-voltage systems on upcoming vehicle platforms.
Intern
APAGCoSyst Electronic Control Systems
Created prototype PCBs and integrated proof-of-concept vehicle systems for uses in capacitive touch interfaces, ambient lighting solutions, and climate control HMIs
Education
McGill University
Applied Machine Learning and Computer Vision
Probabilistic Vision Group (PVG) supervised by Dr. Tal Arbel.
University of Windsor
Electrical and Computer Engineering
Mila - Quebec Artificial Intelligence Institute
Applied Machine Learning and Computer Vision
Gian Favero's Contact Information
Phone
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