John Meade
About John Meade
John Meade is the Director of Machine Learning at Resemble AI, where he applies his strong background in applied mathematics and programming to his projects. He has previous experience in various roles, including CTO at Sitata and Machine Learning Engineer at Replicant.
Current Role at Resemble AI
John Meade serves as the Director of Machine Learning at Resemble AI, a position he has held since 2021. In this role, he oversees the development and implementation of machine learning models and strategies. His responsibilities include leading a team of engineers and researchers to enhance the company's AI capabilities. Meade's expertise in applied mathematics plays a crucial role in driving innovative solutions within the organization.
Previous Experience in Machine Learning
Prior to his current role, John Meade worked as a Machine Learning Engineer at Resemble AI from 2019 to 2021. He also held the position of Machine Learning Engineer at Replicant for one year, from 2018 to 2019. His experience includes developing algorithms and models that contribute to the advancement of machine learning technologies. Additionally, he served as the Chief Technology Officer at Sitata from 2016 to 2018, where he led technical initiatives.
Educational Background in Mathematical Physics
John Meade earned a Bachelor's degree in Mathematical Physics from the University of Waterloo, where he studied from 2011 to 2015. His education provided him with a strong foundation in applied mathematics, which he integrates into his machine learning projects. This academic background supports his analytical skills and enhances his programming capabilities.
Early Career and Development
John Meade began his career with various roles that contributed to his expertise in technology and programming. He worked as an App Developer at Sitata in both 2014 and 2015, and as a Ruby on Rails Developer at Printchomp for five months in 2014. He also gained experience as a Research Assistant at the University of Waterloo in 2017. His early career experiences laid the groundwork for his later roles in machine learning.
Interests and Skills
In addition to his professional work, John Meade has a passion for rock climbing, which complements his analytical skills in applied mathematics and programming. He enjoys programming as a hobby, further enhancing his expertise in machine learning. His interests contribute to his problem-solving abilities and creativity in developing innovative solutions.