Suggestions
Tom Runia
Machine Learning at Apple
Tom Runia is a highly educated professional with a diverse background in Computer Science and Applied Physics.
He obtained his Bachelor's Degree in Applied Physics from Delft University of Technology and went on to complete his Master's Degree in Computer Science, graduating Cum Laude, from the same university.
His academic journey continued as he pursued a Doctor of Philosophy - PhD in Computer Science at the University of Amsterdam, showcasing his passion for research and academia.
Tom has gained practical experience through various roles in prestigious organizations. He currently holds the position of Machine Learning Scientist at Apple, where he contributes his expertise in cutting-edge technology.
Prior to his current role, he served as a Research Intern at Amazon Web Services (AWS), delving into the realm of cloud computing and innovation.
His research inclination is evident from his past roles as a PhD Researcher at the University of Amsterdam and as a Research Intern at TomTom, where he worked on projects at the intersection of technology and real-world applications.
Tom's technical proficiency is further demonstrated by his experience as a Software Engineer at Tam Tam, where he honed his skills in software development and engineering.
His involvement as a Board Member at Vereniging voor Technische Physica highlights his commitment to the academic community and his leadership capabilities.
Additionally, his role as a Research Assistant at TU Delft underscores his dedication to advancing knowledge and contributing to the field of physics and technology.