Core Faculty
Ilieva Ageenko
Education: Ph.D. in Artificial Intelligence, Taras Shevchenko National University of Kyiv, UkraineM.S. in Economic Cybernetics, Moscow State University of Management Courses Taught: Visual Analytics and Storytelling DSBA 5122, Predictive Modeling and Their Impacts DTSC 3601-3602, Modeling and Society DTSC 2301-2302, Data and Society DTSC 1301-1302122, Data and Society DTSC 1301-1302 Biography: Dr. Ilieva Ageenko is […]
Jordan Blekking
Education: A.A. General Education, Kellogg Community College; B.S. Environmental Studies and Applications, Michigan State University; M.S. Geography, Indiana University; PhD Geography, Indiana University Courses Taught: GEOG 3120 Fundamentals of Geographic Information SystemsDTSC 2301: Modelling and Society Biography: A product of the American Midwest, Jordan grew up in the rustbelt city of Battle Creek, Michigan (home to Kellogg’s and […]
Helen Davies
Education: PhD from the University of Rochester, MA in Digital Humanities from Loyola University Chicago, MA in Medieval Studies from the University of York, BA in Classical Civilizations and History from Loyola University Chicago Course(s) Taught: TBA Biography: Helen Davies is an assistant professor in the English department and is a joint faculty member with […]
Abbey Thomas Fenwick
Education: Ph.D. in Kinesiology, University of MichiganM.Ed. in Kinesiology, University of Virginia Courses Taught: Factors of Human Performance – SPOA 1120; Data Science Practicum- DTSC 3400 Biography: Dr. Abbey Thomas (Abbey Fenwick) is an Assistant Professor in Kinesiology at UNC Charlotte, specializing in the prevention and treatment of post-traumatic osteoarthritis following knee injuries. She teaches in […]
Robert Fox
Education: M.S. Advanced Data and Knowledge Discovery, UNC Charlotte Courses Taught: Biography: Robert Fox started his career at IBM in Charlotte in 1999, and over the next 20+ years grew into a seasoned data science practitioner and leader (working primarily in the financial services sector—most recently as SVP & Head of Data Science & Analytics […]
Marianna Ganapini
Education: PhD, Johns Hopkins University, 2017 Courses Taught: N/A Biography: Marianna B. Ganapini is an Associate Professor at UNC Charlotte (School of Data Science & Philosophy Department). She has collaborated with leading universities and companies, including IBM and the University of Notre Dame, and is widely published in AI ethics and philosophy of AI. She is also Co-Founder […]
Yaorong Ge
Dr. Yaorong Ge’s research focuses on imaging informatics, health informatics, and intelligent informatics systems development. He has participated in many research projects funded by the National Institutes of Health, has co-founded and managed a health informatics software startup until its acquisition, and has successfully commercialized a number of novel technologies via patent licensing.
Justin Grandinetti
Education: Ph.D. in Communication, Rhetoric & Digital Media, North Carolina State UniversityM.A. in Writing, Rhetoric & Technical Communication, James Madison UniversityB.S. in Writing, Rhetoric & Technical Communication, James Madison University Courses Taught: DTSC 1301/1302, COMM 3120, COMM 3125, COMM 3050 Biography: Dr. Justin Grandinetti is an assistant professor in the Department of Communication Studies. He […]
Mirsad Hadzikadic
Education: Ph.D. in Computer Science, Southern Methodist University Courses Taught: Network Science DSBA 6326, Complex Adaptive Systems DSBA 6322, Applied Machine Learning DSBA 6156, Data Science for Social Good DTSC 4301/4302 Biography: Dr. Mirsad Hadzikadic serves as the Graduate Program Director (GPD) for the Data Science and Business Analytics (DSBA) program at UNC Charlotte’s School […]
Siddharth Krishnan
Education: Ph.D. in Computer Science, Virginia Tech Courses Taught: Applied Machine Learning DSBA 6156, Network Science DSBA 6520, Knowledge Discovery in Databases DSBA 6162/HCIP 6162 Biography: Dr. Siddharth Krishnan’s research interests are in web mining, data analytics, computational social science, and applied machine learning with a primary emphasis on analyzing, characterizing, and forecasting information dynamics […]