Juli Hirt - CV
ABOUT ME
Juli Hirt is currently pursuing a PhD at the University of Wisconsin-Milwaukee, specializing in the application of stochastic modeling for information technology infrastructure. She holds a Master of Information Science and Technology with a concentration in data management and a Bachelor of Arts in Mathematics, where she focused on numerical analysis and game theory. With over nine years of industry experience as a data and analytics engineer, Juli combines her extensive practical knowledge with her academic expertise to explore innovative solutions in the field of data and technology.
EDUCATION & EXPERIENCE
Bridging the gap between theory and practice with a decade of expertise in data analytics and advanced mathematical modeling.
PhD Information Science
University of Wisconsin-Milwaukee
PhD student in Information Science at the University of Wisconsin-Milwaukee, specializing in stochastic modeling of information technology architecture components.
Masters of Information Science & Technology
University of Wisconsin-Milwaukee
Masters Thesis: A novel application of NLP for library chat systems.
Teaching assistant for Python and web framework courses.
Bachelor of Arts - Mathematics
University of Wisconsin Milwaukee
Bachelors Thesis: An application of numerical analysis to detect critical failure points in eSports matches.
Senior Data Engineer
West Bend Mutual
Designed and developed cost-conscious ingestion processes for centralized data stores.
Mentored team members in distributed computing paradigms and CI/CD practices.
Senior Analytics Engineer
Northwestern Mutual
Responsible for the design and development of data science pipelines for financial and marketing compliance.
Facilitated data pipeline migration from on-premise hardware to the cloud.
Adjunct Instructor
University of Wisconsin-Milwaukee
Lead students through an experiential course in data management and information retrieval.
Mentored new IT professionals through independent projects and internships.
SKILLS & CERTIFICATIONS
Data Modeling & Analysis
Mentorship
Cloud Architecture
Research
PUBLICATIONS
Journal Articles
1 /
Lee, W.-C., Huang, L.-M.C., & Hirt, J. (2024). From amused to 😆: Enriching mood metadata by mapping textual descriptors to emojis for fiction reading. Journal of Documentation, 80(2), 552-571. https://doi.org/10.1108/JD-08-2023-0146
2 /
Lee, W.-C., Huang, L.-M.C. and Hirt, J. (2024). Embracing emojis: prototyping mood enhanced information systems for fiction readers, Journal of Documentation, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/JD-05-2024-0100
3 /
Cho, H., Lee, W.-C., Thach, H. and Hirt, J. (2025). "Evaluating video game moods and their separability based on user-generated reviews", Journal of Documentation, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/JD-10-2024-0247
Refereed Conference Papers
1 /
[Accepted] Hirt, J. and Lee, W-C. (2025). Adventurers and Algorithms: AI and the Evolution of TTRPG Gameplay.
1 /
Lee, W.-C., Hirt, J. & Cho, H. (2024), From Fandom to Fadeaway: Unpacking Factors Contributing to Anime Dropout. Proceedings of the Association for Information Science and Technology, 61: 989-991. https://doi.org/10.1002/pra2.1163
2 /
Lee, W.-C., Hirt, J. & Adebayo, J. (2024), Unveiling Ethical Concerns in AI: Early Insights from a Systematic Review. NMDSI AI Ethics Symposium: From Policy to Practice.
3 /
[Accepted] Lee, W.-C., Hirt, J. & Cho, H. (2025), AI-assisted Creativity: Shaping Reader Perspectives and Evolving Information Needs.
Data Sets
1 /
Lee, W.-C., Huang, L.-M., & Hirt, J. (2023). Emojis and emotion categories for fiction. [Data set]. https://dc.uwm.edu/sois_facpubs/21
Contributions
to Grant-Funded Research
1 /
Ethical AI and Librarianship: A Resource Guide
Funded by American Library Association (ALA) Carnegie-Whitney Grant (2024) (August 1, 2024 – July 31, 2025)
2 /
Ethical AI: Challenges and Opportunities
Funded by Northwestern Mutual Data Science Institute (NMDSI) Student Research Scholars Program Award (July – December, 2024)
TEACHING
University of Wisconsin-Milwaukee
1 /
INFOST 410 - Database Information Retrieval Systems
2 /
INFOST 310 - Human Factors in Information Seeking and Use