Principal ML Scientist | Educator | Researcher
Principal Machine Learning Scientist at Noah's Ark Research Lab of Huawei Technologies, with a passion for bridging the gap between academic research and industry applications.
Adjunct Professor at Ecole Polytechnique de Montreal and part-time faculty at McGill University.
Member of The Canada Excellence Research Chair in Data Science, dedicated to advancing machine learning and artificial intelligence.
Swiss SNF funded postdoctoral fellow at McGill University, visiting scholar at Stanford University, with a Ph.D. in Statistics from Ecole Polytechnique Federale de Lausanne.
To make a bridge between the expertise in academia and the cutting-edge technology in machine learning and artificial intelligence in industry.
Science, smart technology, data analysis, music, dance, computing, blogging, and Esperanto. Always eager to learn and share knowledge with the community.
Advanced AI systems and intelligent solutions
Data-driven insights and analytics
Optimized computational solutions
Statistical analysis in biological sciences
Machine learning training and workshops
Practical ML and AI implementations
Looking for professional training in Machine Learning? Check the McGill Continuing Studies Certificate in Machine Learning and Data Science
Graduate students can check MTH6312, a comprehensive course on Statistical Machine Learning with emphasis on concepts, applications, and computation.
Every semester, hands-on workshops on Python and R are conducted focusing on Data Science and Artificial Intelligence at GERAD.
The excellent one-year Master's program at University of British Columbia in Data Science is highly recommended.
Connect with me on various platforms
Currently not accepting new graduate students. Please refer to the student information page for more details.