Nada holds a joint appointment with the School of Data Science and the Department of Computer Science. With a background in computer science and a passion for data science, Nada Basit’s research interests include machine learning, bioinformatics, data mining, pattern recognition, biometrics, and computer science education.
In 2019, Basit received the Jefferson Scholars Foundation “Hartfield Excellence in Teaching” award, which recognizes engineering faculty who exemplify the highest standards and practices of teaching. She has a variety of published research including, “An Application of Data Mining Techniques to Explore Congressional Lobbying Records for Patterns in Pediatric Special Interest Expenditures Prior to the Affordable Care Act” and “Function Prediction for in silico Protein Mutagenesis Using Transduction and Active Learning.” Basit teaches several courses at UVA, from introductory programming courses to machine learning and database systems courses. Prior to coming to UVA, she worked as adjunct faculty at Mary Washington College, where she taught computer science and mathematics courses.
Basit holds a PH.D. in Computer Science from George Mason University. She also earned her M.S. in Computer Science from George Mason University and her B.S. in Computer Science from Mary Washington College.
