Charalampos (Harry) Papadimitriou
About Charalampos (Harry) Papadimitriou
Charalampos (Harry) Papadimitriou serves as the Data Science Manager for League of Legends at Riot Games since 2020, bringing extensive experience in data science and research. He holds a Ph.D. in Computational Neuroscience and has worked in various roles across multiple organizations, focusing on machine learning and data-driven insights.
Work at Riot Games
Charalampos Papadimitriou has been serving as the Data Science Manager for League of Legends at Riot Games since 2020. In this role, he focuses on delivering data science insights across various levels of the organization, ensuring that both practitioners and C-Level executives can leverage data effectively. His work contributes to the ongoing development and enhancement of the League of Legends gaming experience through data-driven decision-making.
Previous Experience in Data Science
Before joining Riot Games, Papadimitriou held several key positions in data science. He worked as a Senior Data Scientist at DataScience.com from 2016 to 2018 and served as the Head of Data Science at FanAI Inc. from 2018 to 2020. Additionally, he was a Lead Data Scientist at PatientPop Inc. for 10 months in 2018. His diverse experience in these roles has equipped him with a strong foundation in data science methodologies and applications.
Education and Expertise
Papadimitriou earned a Bachelor of Science (B.S.) in Psychology from the Georgia Institute of Technology, where he studied from 2002 to 2007. He later pursued a Doctor of Philosophy (Ph.D.) in Computational Neuroscience at Washington University in St. Louis, completing his studies from 2008 to 2015. His educational background supports his specialization in machine learning, experimental design, and computational modeling.
Research and Academic Contributions
Throughout his academic career, Papadimitriou has engaged in various research roles. He was a Graduate Student Researcher at Washington University in St. Louis from 2008 to 2015 and a Senior Researcher there from 2015 to 2016. He also worked as a Research Assistant at the Georgia Institute of Technology in both the Visual Perception Laboratory and Gole Laboratory. His research experience has contributed to his ability to apply data science concepts effectively in practical settings.
Passion for Data Communication
Papadimitriou is passionate about communicating data science concepts in an intuitive and story-driven manner. He aims to make complex data insights accessible to both technical and non-technical audiences. This focus on effective communication enhances his ability to drive data-informed decisions within organizations.