With a Ph.D. in theoretical and computational physics, and with an additional B.Sc. in computer science, I possess a strong background in computational methods and machine learning. Building on my four years of industry experience as a machine learning engineer and scientist, I have continued to pursue my research interests in machine learning as a postdoctoral researcher. Currently, I hold a position as a Visiting Assistant Professor at the University of Southern California (USC), and a secondary role as a Visiting Researcher at the Information Sciences Institute (ISI). My research focuses on developing innovative federated training protocols and exploring machine learning’s potential applications in scientific research.

For detail information, check my curriculum vitae (updated January 2024) or see my profile on LinkedIn.