Marco Paolieri

Senior Research Associate

Marco Paolieri received his Ph.D. in Computer Science from the University of Florence (Italy) in 2015 and was a postdoc at USC 2016-2018. His research focuses on stochastic models for performance and reliability evaluation, solution techniques for non-Markovian processes, modeling of computer systems, including AI systems, satellite constellations, networks.

Ali Abbasi

Ph.D. Student in Computer Science

Ali received his M.Sc. from University of calgary in 2024 and his B.Sc. in Computer Engineering from Sharif University of Technology in 2022. His current research focuses on optimization methods using machine learning.

Bowen Song

Ph.D. Candidate, Computer Science

Bowen’s research focuses on privacy-preserving and scalable machine learning for health applications, particularly federated learning, wearable sensing, and interpretable biomechanics models. His work develops efficient methods for estimating biomechanical signals from wearable sensors while preserving user privacy, in collaboration with the USC Biomechanics Research Laboratory. Prior to USC, he was a software engineer at Red Hat working on Kubernetes operator frameworks and schedulers.

Zhuojin Li

Ph.D. Candidate, Computer Science

Zhuojin received his M.S. in Computer Science from University of Southern California in 2020. His current research focuses on performance evaluation of distributed machine learning systems and, more recently, the performance of AI applications on mobile and edge devices.

Anyong Mao

Ph.D. Student in Computer Science

Anyong received his B.Sc. from University of Wisconsin-Madison in 2025. His current research focuses on building efficient machine learning systems and optimizing ML inference pipelines.