
ML Technical Director - Team Lead for Intelligent Agents - SEED Electronic Arts
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Researcher in Machine Learning, Reinforcement Learning, and Deep Learning. PhD and Master in computational physics. Currently working on AI applications in games.
Technical University of Munich
Doctor of Philosophy (PhD), Theoretical and Mathematical Physics
January 1, 2004 – January 1, 2009
Linköping University
Master's degree, Theoretical and Mathematical Physics
January 1, 1999 – January 1, 2004
Electronic Arts (EA)
Lead Research Scientist
November 1, 2024 – Present
Electronic Arts (EA)
ML Technical Director & Team Lead
June 1, 2022 – November 1, 2024
Electronic Arts (EA)
Senior Research Engineer & Team Lead - Machine Learning
June 1, 2020 – June 1, 2022
Electronic Arts (EA)
Research Engineer - Machine Learning
September 1, 2016 – May 1, 2020
Swedish Defence Research Agency
Researcher
February 1, 2014 – September 1, 2016
Greater Stockholm Metropolitan Area
Algorithmica Research
Quantitative Developer
October 1, 2013 – January 1, 2014
swissQuant Group AG
Quant analyst
January 1, 2013 – June 1, 2013
IDSIA
Postdoctoral fellow
August 1, 2010 – December 1, 2012
Lugano, Switerland
TU Munich
Researcher
January 1, 2010 – April 1, 2010
Cultural Fit Analysis
The candidate has a strong background in research and development within AI/ML, primarily in the gaming industry (EA) and defense. While this demonstrates adaptability to different domains, the target role of 'Data Analyst' might be a slight shift from their deep research and ML engineering focus. The breadth of skills is concentrated in AI/ML, which is valuable, but direct experience with typical data analyst tools (e.g., advanced SQL, specific BI tools, A/B testing frameworks) is not explicitly detailed. The academic background in theoretical physics suggests a strong analytical mindset, which is a good cultural fit for data-intensive roles.
Soft Skills & Operational Fit
The candidate's progression into leadership roles (Lead Research Scientist, ML Technical Director & Team Lead) at Electronic Arts suggests strong leadership, team collaboration, and project management skills. Their research background implies a strong aptitude for problem-solving and innovation. However, specific details on communication style, stress handling, or direct operational fit for a Data Analyst role are not explicitly provided in the resume.