• A challenge chair for a CVPR2020 continual learning workshop
• A co-organizer for the CVPR 2023 L3D-IVU workshop
• A co-organizer for the CVPR 2024 L3D-IVU workshop

Highly skilled at Python and Pytorch and have created and contributed over hundreds of influential Github repositories for robust, reproducible research and open-source products (https://github.com/IssamLaradji).

Reviewed papers for the following conferences and journals: AISTATS, TPAMI, ICML, NeurIPS, CDMA, BMVC, ICLR, WACV, AAAI, MAIS, CVPR, ECCV/ICCV, EMNLP, Neural Networks, and Neurocomputing.

• Created and Organized the CVPR 2022 Workshop on Learning from Limited Labelled Data for Image and Video Understanding
• Led the challenge for the CVPR 2020 Workshop on Continual Learning in Computer Vision

Made tutorials and demos around best practices for building, managing, and visualizing large-scale experiments, large language models, 2D/3D Computer Vision and Optimization at UBC, Youtube, McGill, and KFUPM.

• Supervised Amirhossein Abaskohi, a student at University of British Columbia that led to multiple papers at NeurIPS workshop papers
• Supervised Amrutha Ramesh, a student at University of British Columbia that led to multiple papers at NeurIPS workshop papers
• Supervised Gaurav Sahu, a student at University of Waterloo that led to multiple papers at EMNLP
• Supervised Yuhongze Zhou, a student at McGill that led to a spotlight paper at BMVC2022
• Supervised Michael Noukhovitch, a student at MILA that led to a workshop paper at NeurIPS 2022

Created an influential codebase called Haven-AI (https://github.com/haven-ai/haven-ai) to help people launch, manage, and visualize thousands of reproducible experiments so that they get research papers published, win at competitions and develop great products.

• McGill Capstone - Created large-scale experimentation framework (2020-2021)
• UBC CPSC 340 course - Machine Learning and Data Mining (2015-2016)
• UBC CPSC 210 course - Software Construction (2015)
• UBC CPSC 221 course - Basic Algorithms and Data Structures (2015)
• UBC CPSC 422 course - Advanced Artificial Intelligence (2015)
• UBC CPSC 322 course - Artificial Intelligence (2014)

• MITACS Postdoc Accelerate award (2020)
• Teaching assistant award at UBC CS department (2015)
• Big Data University Innovation Prize at SportsHack (2015)
• Google Summer of Code (2014)
• PhD Four Year Fellowship at UBC (2016-2020)