- Artificial Intelligence
- Dynamical Systems
- General Relativity
About Ikjyot Singh Kohli
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.
Most recently, Ikjyot was the 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 served as a general mathematics/statistical consultant for various parts of the business.
Currently, Ikjyot is a lecturer within the MBAN and MMAI programs lecturing on courses pertaining to AI and Data Science. He is also an adjunct professor in the Department of Mathematics and Statistics at York University researching in areas related to dynamical systems, mathematical physics, and neural networks.