Ikjyot completed his undergraduate education in physics and mathematics at the University of Toronto. Following this, he obtained both his master’s and PhD degrees in mathematical physics from York University specializing in General Relativity and Dynamical systems. Ikjyot developed a passion for machine learning and data science early in his education, trying to examine the connections between dynamical and complex systems and the time-evolution of data. He worked as a post-doctoral researcher and lecturer in the Department of Mathematics at York, establishing connections between Einstein’s field equations of General Relativity and stochastic differential equations, and developing numerical methods to solve both in cosmological scenarios. He is currently a Senior Data Scientist within Cineplex responsible for the development and implementation of analytics and data science models for various parts of the business from audience attendance models, social media analytics, to Media / Advertising / Marketing analytics using a variety of tools from Microsoft ML Server, R, to SQL in addition to using deep learning methodologies (neural networks) on big data platforms such as Azure (HDInsight / Spark) to build learning algorithms at scale for various stakeholders. He also serves as a general mathematics/statistical consultant for various parts of the business. Alongside his professional work, he is also a lecturer and course content developer in the MBAN and MMAI programs within The Schulich School of Business at York University lecturing on courses pertaining to AI and Data Science.
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