Blizzard Entertainment

Manager, User Research

University of Notre Dame

-Established and manage a comprehensive research program in cognitive psychology, using a range of methodologies to investigate key topics related to aging and cognition.
-Lead a team of full-time researchers and student assistants, fostering collaboration and aligning projects with strategic objectives.
-Developed standardized protocols for participant recruitment, experiment design, data management, and analysis, improving team efficiency and ensuring high-quality research outcomes.
-Applied machine learning techniques to uncover novel insights in brain aging research, contributing to scientific progress and securing additional research funding.
-Implemented process improvements to streamline data management workflows, enhancing research productivity and decreasing time for creating new project workflows. 
-Presented research findings to diverse audiences, from academic conferences to community groups, helping to increase understanding and the impact of the research.

Director of Memory, Aging, and Cognition Lab & Assistant Professor

Center for Vital Longevity

-Led the design, coordination, and execution of data collection, analysis, and reporting for multiple research projects, contributing valuable insights into memory, cognition, and brain function.
-Utilized advanced data analysis techniques, including machine learning, to extract meaningful findings from large, complex datasets involving diverse data types like surveys, behavioral metrics, and neuroimaging.
-Developed and implemented streamlined workflows for data organization, visualization, and analysis, improving efficiency and clarity across the research team.
-Introduced new research technologies, including the development of protocols and technical documentation, to drive innovation and expand research capabilities.
-Effectively communicated research findings to diverse audiences, making complex information accessible and enhancing the impact of the research.
-Managed and trained research staff, overseeing participant recruitment, data collection, and analysis, leading to improved efficiency and data quality in research projects.

Research Scientist

University of California, Davis

• Collected and analyzed data from 1000+ human subjects in 20+ experiments that produced new insights about human memory using mathematical and statistical modeling of human behavior, including collection of self-report measures (online and in-person surveys), behavioral metrics, and functional neuroimaging
• Built open-source software, from establishing project timeline to creating documentation for end-user training, for the scientific community to align mathematical models with observed response data in MATLAB (https://github.com/jdkoen/roc_toolbox/) that created standardization of this analysis across the field; this tool has been used in 74 projects according to Google Scholar
• Managed and trained a team of 6 student volunteer research assistants in recruiting participants (online and phone calls), running experimental protocols with participants, and organizing data to ensure high quality data collection

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Josh Koen

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