Laur Connor
About Laur Connor
Laur Connor is a Senior Software Engineer with a diverse background in data science and education. He has held various positions in notable organizations, including Outcome Health and the University of Chicago, and has a PhD in Psychology with a focus on Integrative Neuroscience.
Current Role at Tegus
Laur Connor currently serves as a Senior Software Engineer at Tegus, a position held since 2022. In this role, Laur applies expertise in software development to enhance the company's technology solutions. The focus is on creating efficient systems that support Tegus' mission of providing actionable insights to clients.
Previous Experience at Tegus
Prior to the current role, Laur Connor worked at Tegus as a Software Engineer from 2020 to 2022. This two-year tenure involved developing software solutions that contributed to the company's operational goals. Laur's experience at Tegus reflects a commitment to leveraging technology for business improvement.
Educational Background
Laur Connor earned a Doctor of Philosophy (PhD) in Psychology with a focus on Integrative Neuroscience from the University of Chicago, completing the program from 2007 to 2012. Additionally, Laur holds a Bachelor of Arts (B.A.) in Neuroscience from Trinity College-Hartford, obtained between 2000 and 2004. Laur also completed a web development program at Dev Bootcamp in 2016.
Professional Experience in Data Science
Laur has extensive experience in data science, having held positions at several organizations. This includes roles as a Senior Data Scientist at Outcome Health from 2018 to 2020, at Trunk Club from 2017 to 2018, and at Metis from 2014 to 2016. Laur also worked as a Data Scientist at Datascope Analytics, LLC from 2013 to 2015, contributing to various data-driven projects.
Teaching and Research Roles
Laur Connor has experience in academia, having served as a Graduate Teaching Assistant at the University of Chicago from 2008 to 2012. Additionally, Laur worked as a PhD Researcher in Social Neuroscience at the same institution for five months in 2012 to 2013. This background highlights a strong foundation in both teaching and research methodologies.