Data Science
Data Science Blog
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Building Automated Integrity Systems at Meta(WhatsApp): My Summer Internship
By Christabel Obi-Nwosu, MTSU Student About Me My name is Christabel Obi-Nwosu, and I am a senior Computer Science major with a minor in Data Science at Middle Tennessee State University (MTSU), graduating in December 2026. I am an international student from Nigeria, currently residing in Murfreesboro, Tennessee. Outside the classroom, I am deeply involved…
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The Impact of a Data Science Internship: Insights from MTSU Student Ethan Concors
I came to MTSU in 2019 from Lexington, Kentucky and got my B.S. in Audio Production in December 2023. I decided to return to MTSU to study Data Science in October 2024, and it has been an incredible experience. In my classes, I’ve learned extremely valuable skills in programming, analysis, statistics, and business intelligence. Despite…
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Faculty and Staff Spotlight – Dr. Yanfang Liu
Dr. Yanfang Liu teaches multiple data science courses as well as mathematics. DATA classes taught: DATA 2025 – Communicating with Data DATA 4950 – Data Science Capstone DATA 6300 – Data Understanding DATA 6500 – Cases in Data Science DATA 6990 – Topics Seminar in Data Science Year joined MTSU: 2024 Home Department: Department of Mathematical Sciences Research Interests:Inverse problems,…
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Faculty and Staff Spotlight – Dr. John Wallin
Dr. John Wallin is the Director of MTSU’s Computational and Data Science Ph.D. program. He is also an Astronomy professor. DATA classes taught: DATA 1010, 6300, 6550 – and CDS courses Year joined MTSU: 2010 Home Department : Physics and Astronomy Research Interests: Applications of LLM, Galaxy Collisions, XR Simulations Other Data Science involvement : Director, CDS PhD Program Why…
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Faculty and Staff Spotlight – Cheri Burt
Cheri Burt is the Executive Assistant for the Data Science program. Year joined MTSU -2021 What is your degree? B.A. in Broadcast Communications, M.S. in Mass Media Arts, Graduate Certificate in Public Relations One piece of advice for data science students- Take advantage of every opportunity to improve your skills, especially internships. Outside of work –Involved in…
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Faculty and Staff Spotlight – Kirstie Boyd-Carpienter
Kirstie is one of the undergraduate advisors for the Data Science Program. She advises students whose last names begin with L-Z. Year joined MTSU – as advisor, 2022 What is your degree? Professional Science Master’s Degree in Computer Science and Quantitative Analytics from Austin Peay State University, Bachelor’s Degree in Professional Studies, Information Technology at MTSU. Other Data Science…
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Quantum Machine Learning and Variational Quantum Algorithms for Differential Equations
MTSU Computational and Data Science Ph.D. student, Yuan Chen, presents elements from his dissertation proposal on Quantum Algorithms for Differential Equations. This talk presents a collection of works on quantum and hybrid quantum–classical methods for differential equations, with emphasis on the two directions: learning-based quantum models for dynamical systems and lightweight quantum recurrent architectures. Differential…
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2026-27 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 2026–2027 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. This year,…
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TriAffect: Tri-Modal Conversational Emotion Recognition with Temporal State Tracking
Computational and Data Science Ph.D. student, Cayden Schalk, presents his research work on Emotion Recognition. Understanding emotion in conversation requires combining cues from language, vocal expression, and visual behavior while accounting for how emotion evolves across speakers and dialogue turns. This problem is important for multimodal interactive systems such as emotion-aware assistants, social robots, and…
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Addressing Computational Challenges in Geospatial Applications using Graph Structures
Computational and Data Science Ph.D. student Abigail Kelly presents elements from her internship and research. Her research focuses on Geospatial Data and Graph Theory – specifically, how to extract patterns from this difficult type of data. Geospatial data science focuses on extracting patterns and knowledge from data containing a spatial or geographic component. This discipline is…

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