- 10 years of experience in artificial intelligence, machine learning, deep learning, computer vision, signal and image processing, programming, statistics - Well experienced in deep learning and image processing libraries (tensorflow, keras, pytorch, scikit-learn, scikit-image, opencv, pandas, etc) - Well experienced in working in a multi-disciplinary, collaborative, and diverse team of engineers and physicians, talented problem solver - Several publications on machine learning, deep learning and signal processing in prestigious journals, and reviewer of multiple scientific journals (11 journal articles and 18 conference papers) - Effective communication and presentation skills (course lecturer (image processing, probability and statistics) at Concordia University, tutoring different courses at McGill University, attending more than 20 different international conferences and meetings)
Machine Learning Research Scientist at Paravision
Doctor of Philosophy (PhD), Biomedical Engineering