Patrick Carlson

Patrick Carlson

Data Scientist @ Sandia National Labs

About Patrick Carlson

Patrick Carlson is a Data Scientist at Sandia National Laboratories with a background in Human-Computer Interaction and experience in user experience analysis.

Title: Data Scientist

Patrick Carlson is a Data Scientist, currently employed at Sandia National Laboratories in Albuquerque, New Mexico Area. He has been serving in this role since 2017. His experience as a data scientist has given him the opportunity to work on data analysis and computational methods in a research-focused environment.

Company: Sandia National Laboratories

Patrick Carlson has been with Sandia National Laboratories since 2017. Located in Albuquerque, New Mexico Area, Sandia National Laboratories is a premier research and development lab focusing on national security, energy, and environmental technologies. As a data scientist, Patrick's role involves working on projects that utilize data analysis to solve complex problems.

Previous Role: User Experience Analyst at Renaissance Learning

Before joining Sandia National Laboratories, Patrick Carlson worked at Renaissance Learning as a User Experience Analyst. He served in this role from 2016 to 2017 in Wisconsin Rapids, WI. His responsibilities included analyzing user experience data to improve software usability and functionality.

Education: Doctor of Philosophy (PhD) in Human-Computer Interaction

Patrick Carlson earned his Doctor of Philosophy (PhD) in Human-Computer Interaction (HCI) from Iowa State University. He was enrolled at the university from 2008 to 2015, focusing on the study of how humans interact with computers and designing technologies that facilitate effective interaction.

Educational Background: BA in Computer Science and Psychology

Patrick Carlson holds a Bachelor of Arts (BA) in Computer Science and Psychology from Simpson College. He pursued his undergraduate studies from 2003 to 2008. His multi-disciplinary background combines the technical aspects of computer science with insights from psychology to understand better and design user-centric technological solutions.

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