Issam Laradji is a research scientist at ServiceNow AI Research. He focuses on methods that minimize the number of labels required to efficiently train machine learning models. His topics of interest are natural language processing, computer vision (both 2D and 3D), and optimization.
Issam completed his postdoctorate at McGill’s Graphics and Imaging Lab and completed his Ph.D. at the Machine Learning lab of University of British Columbia. On the side, he works on Haven-AI, a toolkit to help people build end-to-end deep learning methods and manage large-scale experiments.
