Graduate Research Assistant
Lazaridis School of Business & Economics at Wilfrid Laurier University
As a graduate research assistant at the Lazaridis School of Business & Economics at Wilfrid Laurier University, I have the opportunity to work on exciting and impactful projects that contribute to our understanding of complex systems and challenges.
Currently, I am assisting in a research project focused on understanding the behavior of individual generators and the factors that influence electric system reliability during major weather events. This is a critical issue as the reliability of electric systems is essential for the functioning of modern societies, and weather-related disruptions can have serious consequences.
To tackle this problem, we are using a range of advanced analytical techniques, including structural economic estimation, optimization, and machine learning. Our goal is to develop a method to simulate market outcomes under various conditions in electricity markets, with the aim of predicting and improving system reliability.
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To support this work, I have been utilizing a variety of tools and technologies, including the Google Cloud Platform (GCP) and Google BigQuery, as well as programming languages such as Python. I have also gained experience in machine learning and deep learning, which are powerful approaches for analyzing large and complex datasets.
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This project has been a great learning opportunity for me as it has allowed me to apply my skills and knowledge to a real-world problem, and to work with a team of experienced researchers. I am excited to see where this research takes us and to contribute to the advancement of our understanding of electric system reliability.