Working on a textbook on Statistical Machine Learning with emphasis on concepts, application, and computation; conducts one-day hands-on Python and R Workshops focusing on Data Science and Artificial Intelligence at GERAD every semester; recommends the Data Science program at the University of British Columbia, which is an excellent one-year master's level program.
Research Experience
Serves as Principal Machine Learning Scientist at Noah's Ark Research Lab of Huawei Technologies; holds adjunct professorship at Ecole Polytechnique de Montreal and part-time faculty position at McGill University.
Education
Received his Ph.D. in Statistics from Ecole Polytechnique Federale de Lausanne, Switzerland; Swiss SNF funded postdoctoral fellow at McGill University; visiting scholar at Stanford University.
Background
Principal Machine Learning Scientist at Noah's Ark Research Lab of Huawei Technologies, Adjunct Professor at Ecole Polytechnique de Montreal, and part time faculty at McGill University. He is a member of The Canada Excellence Research Chair in Data Science. His mission is to make a bridge between the expertise in academia, and the cutting-edge technology in the domain of machine learning and artificial intelligence in industry. His research interest is diverse and is application-oriented including Artificial Intelligence, Data Science, Efficient Computing, and Biostatistics.
Miscellany
Hobbies include science, smart technology, data analysis, music, dance, computing, blogging, and Esperanto.