Christoffel Doorman
About Christoffel Doorman
Christoffel Doorman is a Research Engineer with a strong background in theoretical physics and machine learning. He has contributed to combinatorial optimization through deep reinforcement learning techniques and has experience in both academic and industry settings.
Current Role at InstaDeep
Christoffel Doorman currently serves as a Research Engineer at InstaDeep Ltd, a position he has held since 2022. His work focuses on advancing research initiatives within the company, leveraging his expertise in machine learning and combinatorial optimization. Based in London, United Kingdom, he contributes to projects that integrate deep reinforcement learning techniques.
Previous Experience in Research and Industry
Before joining InstaDeep, Christoffel Doorman gained valuable experience in various research and industry roles. He worked as an Applied Scientist Intern at Amazon for two months in 2022, where he applied his knowledge in practical settings. Additionally, he held research positions at UCL Computer Science, including a Postgraduate Research Intern role for six months in 2021 and a Research Assistant position for five months in 2022.
Academic Background and Achievements
Christoffel Doorman has a solid academic foundation, having studied at multiple institutions. He earned his MSc in Machine Learning from UCL with a Distinction in 2021. Prior to that, he completed his MSc in Theoretical Physics at the University of Amsterdam, graduating cum laude. His undergraduate studies culminated in a BSc in Physics and Astronomy from the University of Amsterdam. He also attended Barlaeus Gymnasium, achieving Vwo/gymnasium with cum laude honors.
Teaching Experience
In addition to his research roles, Christoffel Doorman has experience in education. He worked as a Teacher at Luzac College for one year in Hilversum from 2017 to 2018. He also served as a Teacher at Stichting Studiebegeleiding Leiden for one year in 2015 to 2016. Furthermore, he was a Private Tutor at Bijlesbureau StudentsPlus Nederland for two years in Amsterdam from 2014 to 2016.
Contributions to Combinatorial Optimization
Christoffel Doorman has made contributions to the field of combinatorial optimization, particularly through the application of deep reinforcement learning techniques. His research integrates theoretical knowledge with practical applications, reflecting his strong background in both theoretical physics and machine learning.