Summary
Mahsan Nourani is a Research Assistant Professor specializing in human-centered AI, explainable ML, and visual analytics, with 11 years of research experience bridging academic inquiry and industry practice. Her work investigates how individual differences—biases, expertise, attitudes, prior AI experiences, and personality—shape trust, reliance, and decision outcomes in sociotechnical AI systems. She develops interaction techniques and interventions to mitigate harmful behaviors and augment human decision-making when using XAI tools. Mahsan earned her PhD at the University of Florida after doctoral work begun at Texas A&M, and she has interned at both Microsoft and Apple, bringing product-facing research perspectives. Based in Gainesville, FL, she combines rigorous user studies with tool-building to make explainability actionable for diverse users. An often-overlooked strength is her early experience designing educational programming labs and robotics work for accessibility, which informs her human-centered approach.
11 years of coding experience
8 years of employment as a software developer
PhD Student, Computer Science, (No degrees granted, Transferred to University of Florida), PhD Student, Computer Science, (No degrees granted, Transferred to University of Florida) at Texas A&M University
Bachelor of Engineering - BE, Information Technology (Computer Engineering), Bachelor of Engineering - BE, Information Technology (Computer Engineering) at University of Tehran
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Florida
Persian, English