Scott L.

Scott L. has a diverse range of work experience, starting in 2018 with an internship as a Data Research Analyst at J.P. Morgan. Scott also worked as a Data Analyst at the University of Florida Interdisciplinary Center for Biotechnology Research from 2017 to 2019. In 2020, they held the position of Chief Information Officer and Data Scientist at IUNISPACE, where they conducted alternative data research and led a data analysis team. From 2022 to 2023, Scott had roles as a Trading Algorithm Developing Intern and Business Development Manager at MEXC Global and as a Research Assistant at Duke University's Fuqua School of Business.

In 2023, Scott joined Duke University's Graduate School as a Graduate Research and Teaching Assistant, where their responsibilities included course management, content design, and grading. Scott also held the position of Chief Development Officer at DeAP Learning Labs.

Most recently, in 2024, Scott became a Founding Software Engineer at ScholarAI, and prior to that, they completed a software engineering internship at ScholarAI, where they collaborated with a team on developing and implementing image post-processing algorithms.

Overall, Scott has gained experience in various roles, including data analysis, software engineering, and algorithm development, showcasing their versatility and expertise in the field.

Scott L. has a Bachelor of Science degree in Statistics and a Bachelor of Science degree in Economics from the University of Wisconsin-Madison, which they obtained from 2016 to 2019. Scott is currently pursuing a Master of Science degree in Interdisciplinary data science at Duke University from 2022 to 2024. In addition, they have obtained various certifications, including AWS Cloud Practitioner Essential, AWS Technical Essentials, Artificial Intelligence Foundations: Machine Learning, and Getting Started with ECS, all obtained in 2022.