About Me
I am a Ph.D. candidate at the Center for Systems Science and Engineering, in the Department of Civil and Systems Engineering at Johns Hopkins University. My research interests encompass Optimization, Data-Driven Decision Making, Healthcare Systems Engineering, and Advanced Data Analytics. Through multi-modular approaches combining statistical methods, machine learning, and optimization, my goal is to develop optimized decision-making models that tackle pressing challenges in healthcare delivery, resource allocation, and public health policy.
My academic journey has been shaped by a unique blend of disciplines. I began my studies at Sharif University of Technology, where I pursued dual bachelor's degrees. In 2018, I graduated with a B.S. in Civil Engineering (Magna Cum Laude) and a B.S. in Computer Engineering with a focus on Software Engineering. Continuing my education at Johns Hopkins University, I completed my M.S. in Systems Engineering in 2023, concurrent with my ongoing Ph.D. studies which I began in 2019. This educational path has equipped me with a diverse skill set, allowing me to approach challenges from multiple perspectives, combining insights from engineering, computer science, and systems thinking.
My research at Johns Hopkins focuses on leveraging data-driven approaches and optimization techniques to address critical challenges in healthcare systems. Currently, I'm developing FallPro, an automated fall risk assessment system for in-patients, and have recently completed a study on COVID-19 mortality disparities across U.S. counties. As a member of the Johns Hopkins COVID-19 Dashboard team, I contributed to data collection automation for this globally recognized resource. My work spans from theoretical modeling to practical applications, aiming to make tangible impacts on healthcare delivery and public health outcomes.