Khalil Z.

I consider every day as a new opportunity to overcome challenges. Through the past few years, I went from struggling with basic algorithms to developing numerical models using Machine Learning techniques. The models I worked on were related to extremity different fields. From a numerical method used to study the changes in the rigidity of structures after multiple years of construction in the context “Structural Health Monitoring” to a water quality model using System Dynamics. Afterwards, I started to put most of my focus on overcoming climate change issues. As an environmental scientist, I used both “bottom-up” and “top-down” approaches to study the impact of climate change on nutrients delivery in the Great Plains. I incorporated the predictions of 20 different NASA GCMs to have the most possible accurate results. Mastering multiple languages including French and English allowed me to communicate easily with stakeholders and decision-makers from different regions of Canada. In addition, I was able to publish 3 papers and present my work in different international conferences such IUGG and AGU.