Mai Dahshan

Mai Dahshan is an Assistant Professor of Data Science at the School of Data Science, University of Virginia (UVA), where she conducts research at the intersection of human-AI collaboration, visual analytics, and data science education. Her work bridges computational methods with human-centered design to support decision-making in scientific and healthcare domains.

Education:

• Ph.D. in Computer Science, Virginia Tech
• M.S. in Computer Science, American University in Cairo, Egypt
• B.S. in Computer Science, Suez Canal University, Egypt

Her research focuses on designing user-centered visual analytical systems that integrate artificial intelligence with human insight to explore complex, high-dimensional, and multimodal datasets. She develops tools to help users identify patterns, trends, and relationships in data, particularly in scientific and healthcare applications. A secondary but significant strand of her work involves integrating data science and computational thinking into K-12 STEM education to enhance early exposure to analytical reasoning.

While no publications are listed in the provided text, her research trajectory suggests strong engagement with interdisciplinary topics spanning computer science, cognitive systems, and educational technology.

Scientific Awards:

• No awards listed in the provided text.

She has advised students in data science and computer science education contexts during her tenure at the University of North Florida and now at UVA. Her research has been supported through academic appointments and research internships, including a position at Los Alamos National Laboratory in 2019. She is actively contributing to curriculum development and research initiatives in data science.

Labs and Research Teams:

While specific lab affiliations are not mentioned, her research is aligned with visual analytics and human-AI collaboration groups, likely involving interdisciplinary teams at UVA focused on data science for societal impact.