Data Science
Data Science Blog
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Faculty and Staff Spotlight – Meet Dr. Keith Gamble
Dr. Keith Gamble is the Weatherford Chair of Excellence Chairperson and a Professor of Finance in the Jones College of Business. Year joined MTSU: 2016 Data Science Involvement at MTSU Dr. Gamble leads the MTSU AI Initiative. He developed DATA 1010- Artificial Intelligence in Action Why Data Science? Before the phrase “data science” was used, Dr. Gamble was trained as
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HPE HGT Hybrid Positional Enoding for Enhanced Structural Awareness in Heterogenous Graph Transform
MTSU Computational and Data Science Ph. D. student Nada Srour presents some of her work that explores approaches for optimizing heterogeneous neural networks in machine learning. Heterogeneous graph neural networks (HGNNs) are critical for modeling multi-relational data in domains such as recommender systems, biological networks, cybersecurity, and citation analysis. These graphs encode diverse node and edge
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Statistical and Deep Learning Approaches to Network and Sequential Data
Dr. Ramchandra Rimal, Department of Mathematics, will briefly discuss research that synthesizes advanced statistical network modeling and deep learning (DL) to analyze complex datasets in financial and medical domains. We’ll begin by exploring the theoretical foundations of statistical network analysis, including the Popularity Adjusted Block Model (PABM) and Sparse Subspace Clustering (SSC), for enhanced community
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Internships in CDS: A Student Perspective
In this panel discussion, three CDS students will share their experiences securing internships during the summer of 2025. Abigail Kelly worked at Los Alamos National Laboratory, Yousef Khaliq at Experian, and Yuan Chen at the EDF Innovation Lab. Each of them made strong contributions and was well-received by their host organizations, demonstrating the value our
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Explore the Future: Three New MTSU Data Science Courses
Data Science at Middle Tennessee State University is thrilled to announce three new courses, each offering unique topics in one of today’s most important and fast-evolving fields. These courses are designed to not only expand students’ technical skills but also deepen their critical thinking and global awareness. Whether you’re a first-year student exploring data for
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Using AI as a Researcher III: Mathematics and Semi-Autonomous Problem Solving
John Wallin, CDS Program, MTSU. In the last 3 years, we have seen unprecedented progress in the capabilities of large language models. Over the summer, there have been significant improvements in the mathematical capabilities of LLMs, with two models achieving gold medal status on the International Math Olympiad. There has also been rapid progress in the development
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The Value of Internships
Internships are vital experiences for students. Seventeen data science students interned with non-profit organizations through the Christy Houston Foundation. Other students interned with organizations such as the MTSU Agriculture Department, Los Alamos National Laboratory, and Experian. Read some of their experiences. Pallavi Suram interned in the Agricultural Department at MTSU. “This summer, I served as
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2025-26 Data Science Student Steve and Kathy Anderson Scholarship Winners
We are excited to announce the recipients of the prestigious Steve and Kathy Anderson Scholarship for the 2025–2026 academic year! This highly competitive scholarship recognizes outstanding students in the MTSU Data Science program who have demonstrated exceptional academic achievement, passion for data science, and a commitment to making a meaningful impact here at MTSU. Each recipient
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2025 Spring End-of-Year Spotlight Alumni Event
The Spring End-of-Year Spotlight Alumni Event for the MTSU Data Science programs is a celebration of student achievement, alumni success, and the strength of our MTSU data science community. In April, current students, alumni, faculty, and staff gathered to network, socialize and recognize this year’s achievements. The highlight of this event is the focus on
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Using AI as a Data Science Research: Changes, Capabilities, and Ethics
In the last two years, we have seen unprecedented progress in the capabilities of large language models. In the last month, several models have emerged that show advanced reasoning capabilities.Â

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