I am a Postdoctoral Fellow at Stanford Data Science working with Professor Stefano Ermon and Professor Barbara Engelhardt. My research interests are in the area of sequential decision-making under uncertainty and adaptive experiment design with applications to science and engineering domains. The focus of my research is to develop efficient learning and optimization algorithms to address problems where there is a need to select expensive experiments under resource budget with applications to material science, biological sequence design, hardware design, and electric transportation power systems design. My work and interest span topics in Bayesian optimization, Combinatorial optimization, Active learning, and Uncertainty quantification.
I obtained my PhD in Computer science from Washington State University (2023) where I was advised by Prof. Jana Doppa. During my PhD, I was awarded the IBM Fellowship (2021-2023), was selected for the MIT Rising Stars in Electrical Engineering and Computer Science (2021), and was awarded the Harriet B. Rigas Outstanding Woman in Doctoral Studies Award at WSU (2023). Previously, I obtained my Master's degree in Electrical Engineering from the University of Idaho where I was advised by Professor Sameh Sorour and received my Engineering degree in Information Technology and Telecommunication from the Higher School of Communication of Tunis.