Kexin Ji

Software Engineer - Machine Learning

Kexin Ji is an accomplished data scientist and researcher with extensive experience in developing advanced statistical models and machine learning solutions. At the University of Waterloo, Kexin Ji served as a Doctoral Researcher, proposing estimation procedures and analyzing large datasets for trends. Kexin Ji has also held roles such as Sessional Lecturer, teaching quantitative methods at both master and undergraduate levels. Experience at Scotiabank involved developing innovative machine learning models for compliance and risk management, while a recent position as Lead Data Scientist at Plymouth Rock Assurance focused on leveraging data science for business solutions. Kexin Ji co-founded Cacao Systems, leading an international team in the development of artificial intelligence systems. Currently, Kexin Ji is a Software Engineer specializing in Machine Learning at Meta. Academic credentials include a PhD in Statistics from the University of Waterloo and a Master's and Honors Bachelor’s in Statistics and Economics from the University of Toronto.

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New York, United States

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