Michael Horton

Data Scientist And Machine Learning Researcher @ Sportlogiq

About Michael Horton

Michael Horton is a data scientist and machine learning researcher with extensive experience in data analysis and programming. He has held various positions in notable organizations, including the Royal Bank of Scotland and Sportlogiq, and has a strong academic background with multiple degrees from the University of Sydney and Victoria University of Wellington.

Work at Sportlogiq

Michael Horton has been employed at Sportlogiq since 2018, where he serves as a Data Scientist and Machine Learning Researcher. In this role, he focuses on applying advanced data analytics and machine learning techniques to enhance sports performance analysis. His expertise contributes to the development of innovative solutions that leverage data to provide insights into athletic performance.

Education and Expertise

Michael Horton holds a Doctor of Philosophy degree from the University of Sydney, which he completed between 2014 and 2017. He also earned a Master's degree from the same institution in 2013. His academic background includes studies at Victoria University of Wellington, where he attended from 1990 to 1992 and again from 1993 to 1994. This educational foundation supports his work in data science and machine learning.

Professional Background

Michael Horton has a diverse professional background in data analysis and research. He worked as an analyst and programmer at Telsoft from 1995 to 1997. He then joined the Royal Bank of Scotland, where he served as a Data Warehouse Analyst from 2007 to 2010 and as a Change Analyst from 2010 to 2011. His experience also includes a role as a Senior Consultant at Analytics8 from 2012 to 2013 and as a Postdoctoral Researcher at the University of Sydney from 2017 to 2018.

Research Experience

Michael Horton has significant research experience, particularly during his time at the University of Sydney. He was a PhD student from 2014 to 2017, focusing on topics related to data science and machine learning. Following his doctoral studies, he continued his research as a Postdoctoral Researcher from 2017 to 2018, contributing to academic advancements in his field.

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