Danielle King
About Danielle King
Danielle King is a Senior Scientist with extensive experience in research involving human subjects, having worked at Exponent and various academic institutions. She holds multiple degrees in Psychology and Philosophy, including a Doctorate, and possesses advanced programming skills for data analysis.
Current Role as Senior Scientist
Danielle King currently holds the position of Senior Scientist at Exponent, a role she has occupied since 2019. Based in Menlo Park, California, she has contributed to various research initiatives within the organization. Her responsibilities include conducting advanced research and applying her expertise in statistical modeling and data analysis to complex scientific problems.
Previous Experience at Exponent
Prior to her current role, Danielle King worked as a Scientist at Exponent from 2017 to 2019. During her two years in this position, she engaged in research that involved human subjects, further developing her understanding of ethical research practices. This experience laid the groundwork for her current responsibilities as a Senior Scientist.
Educational Background
Danielle King has an extensive educational background, having studied at multiple institutions. She earned her Bachelor of Arts in Psychology from Skidmore College from 2003 to 2007. She then pursued graduate studies at UC Santa Barbara, where she completed her Doctor of Philosophy in Psychology and Philosophy from 2007 to 2013. This academic foundation supports her research and professional endeavors.
Research and Teaching Experience
Danielle King has accumulated significant research and teaching experience over the years. She served as a Graduate Student Researcher at UC Santa Barbara from 2007 to 2013, followed by a position as a Postdoctoral Scientist at the University of Texas at Dallas from 2013 to 2017. Additionally, she worked as an Instructor at UC Santa Barbara for one year in 2011-2012, where she taught courses related to her field of study.
Skills and Expertise
Danielle King possesses advanced programming skills, particularly in statistical techniques for modeling and analyzing large datasets. Her strong ability to communicate complex scientific ideas to diverse audiences enhances interdisciplinary collaboration, making her a valuable asset in research environments.