Juangabriel Batista
About Juangabriel Batista
Juangabriel Batista is a Data Scientist currently employed at FINRA since 2022. He holds a PhD in Applied Mathematics from Penn State University and has previously worked at MITRE and CUBRC.
Work at FINRA
Juangabriel Batista has been employed at the Financial Industry Regulatory Authority (FINRA) as a Data Scientist since 2022. In this role, he contributes to the analysis and interpretation of financial data, utilizing his expertise in data science to support regulatory functions. His work involves developing data-driven solutions to enhance the effectiveness of financial oversight.
Education and Expertise
Juangabriel Batista earned his Bachelor's degree in Applied Mathematics from the Rochester Institute of Technology, studying from 2008 to 2012. He further advanced his education by obtaining a Doctor of Philosophy (PhD) in Applied Mathematics from Penn State University, where he studied from 2013 to 2018. His academic background provides a strong foundation for his work in data science and analytics.
Previous Experience at MITRE
Before joining FINRA, Juangabriel Batista worked as a Mathematical Analyst at MITRE from 2020 to 2022. In this position, he applied mathematical techniques to solve complex problems, contributing to various projects that required analytical rigor. His experience at MITRE enhanced his skills in data analysis and modeling.
Research and Development in Data Science
Juangabriel Batista has experience in developing data-driven analytic products, particularly for autonomous vehicle performance. He has also worked on machine learning-based Natural Language Processing (NLP) models, which have applications in Army tactical communications. His research includes efficient solvers for physics-based simulations of nonlinear poromechanical models in multiple dimensions.
Teaching Experience at Penn State University
Juangabriel Batista served as a Graduate Teaching Assistant at Penn State University from 2013 to 2020. In this role, he supported undergraduate education in mathematics, assisting with course instruction and student engagement. His teaching experience complements his analytical skills and contributes to his comprehensive understanding of mathematical concepts.