Jack Fitzsimons
About Jack Fitzsimons
Jack Fitzsimons serves as the Machine Learning and AI Lead at Disperse.io in London, where he has worked since 2016. He holds a first-class honors degree in computer engineering from Trinity College Dublin and has a diverse background that includes experience at NASA's Jet Propulsion Laboratory and various financial institutions.
Work at Disperse
Jack Fitzsimons has been serving as the Machine Learning and AI Lead at Disperse.io since 2016. In this role, he focuses on leveraging machine learning techniques to enhance operational efficiency and drive innovation within the company. His tenure at Disperse spans eight years, during which he has contributed to various projects aimed at improving automated systems and data analytics.
Education and Expertise
Jack Fitzsimons holds a Bachelor of Arts in Computer Engineering from Trinity Business School, where he graduated with first-class honors. He furthered his education at the University of Oxford, earning a Doctor of Philosophy in Philosophy from 2014 to 2017. His academic background provides a strong foundation for his expertise in machine learning and artificial intelligence.
Background
Jack Fitzsimons has a diverse professional background that includes significant experience in both technology and finance. He worked at NASA's Jet Propulsion Laboratory in various capacities, including as a Jvsrp Researcher and Collaborative Researcher, where he developed automated systems and analytical tools. Additionally, he gained experience in the financial sector through internships at Bank of America Merrill Lynch and Goldman Sachs.
Achievements
During his time at NASA's Jet Propulsion Laboratory, Jack Fitzsimons contributed to the development of automated systems for a rapid development team. His work involved creating analytical tools that supported various research initiatives. His academic achievements include graduating with first-class honors in computer engineering and obtaining a doctorate in philosophy, showcasing his commitment to both technical and theoretical knowledge.