DIS welcomes new faculty in School Librarianship and Data Science for spring 2021

The Department of Information Science is pleased to announce that two new faculty members will be joining the Department this semester. Dr. Jennifer Moore joins the faculty as an Associate Professor in School Librarianship. Dr. Stephen Wheeler joins the faculty as a Clinical Assistant Professor in Data Science.

Dr. Jennifer Moore
   Dr. Jennifer Moore


Dr. Jennifer Moore has taught graduate-level courses in instructional technology in school libraries, school library management, pedagogy in school libraries, youth programming in libraries, and young adult literature. She has also worked as an English-Language Arts teacher and an elementary school librarian. She was recently a faculty fellow in the American Library Association and Google joint project, Libraries Ready to Code, Phase 2, as well as an invited judge representing Texas Congressional District 26 in the 2019 and 2020 Congressional App Challenge. Dr. Moore has received multiple awards for teaching and advising.

Dr. Moore received her B.A. in English, a Master of Science in Information Science, and a Ph.D. in Information Studies all from the University of Texas at Austin. Her scholarly interests have included adolescent health information literacy, audiobooks and youth literacy development, and librarians as data literacy leaders. Current projects include computational thinking in LIS curriculum and evidence based practice in school libraries. She has served as a member and a chair on over 20 committees at the local, state, national, and international levels.

Dr. Moore will be teaching INFO - 5345 School Library Program Development in the spring semester.

 


Stephen Wheeler
        Dr. Stephen Wheeler


Dr. Stephen Wheeler has over 20 years of experience in business analytics and applied artfificial intelligence.

His previous roles have included information systems consulting, and Graduate School professor of computer science, artificial intelligence and discrete mathematics.

Some of his areas of expertise include data science and analytics, applied machine learning and artificial intelligence, translating business challenges into data science solutions and defining data and analytic strategies. His experience spans various sectors including manufacturing, systems engineering, security, banking, insurance, oil and gas, aerospace, healthcare, pharma and life sciences.

Dr. Wheeler holds a BSc in computer science and mathematics, a MSc in computer science, and a Ph.D. in artificial intelligence.

Dr. Wheeler will be teaching INFO 5501 - Fundamentals of Data Analytics and INFO 5082 - Seminar in Research and Research Methodology this semester.