As a civil and environmental engineer and current PhD student at the University of Toronto, I am driven by a passion for leveraging artificial intelligent to solve complex environmental challenges. Building on over five years of combined research and industry experience, my work integrates water resources management, hydrologic (water-energy nexus) modeling to advance climate change adaptation and environmental monitoring.
Drawing on my foundation in Earth sciences as an alumnus of the University of Waterloo, I combine deep expertise in remote sensing, GIS, and data science to bridge the gap between traditional engineering and cutting-edge geo-hydroinformatics. Leveraging advanced certifications in machine learning and proficiency in Python, MATLAB, and R, I build robust, data-driven solutions—ranging from predictive models to decision-support tools. I actively welcome new research collaborations, as I remain deeply committed to sustainability and am always eager to connect with forward-thinking teams and organizations making a measurable impact on our environment.
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