Working with Professors Andrea Coladangelo and Chinmay Nirkhe, I have researched bounds on the quantum cryptographic problem of position verification. Supplemented by a reading group as a part of which I presented on advanced quantum computational papers by such seminal authors as Zeph Landau, Umesh Vazirani, and Thomas Vidick.

Working with a group of researchers associated with several international and domestic institutions (CERN, NCTU, MIT, etc.), I helped develop and organize a platform for physics informed machine learning. Managed a code base https://github.com/a3d3-institute/HDRchallenge to be rolled out as a template from which all associated institutes will develop challenges for the exploration of physical problems. Specific focus on anomaly detection in gravitational wave data using machine learning, for which I mentored two high school students.

Working with a group of High Energy Physics researchers, including Xiangyang Ju, on the Exa.TrkX project, researching the use of transformer and graph neural network models for the reconstruction of charge particle trajectories after high energy collisions in supercolliders such as the Large Hadron Collider. My role is primarily as a physics-side advisor and researcher, supplemented by my background in machine learning and artificial intelligence.

Under Professor Shih-Chieh Hsu and Ali Garabaglu, I worked with the Elementary Particle Experiment Group at the University of Washington on analysis of data from the ATLAS detector at CERN for the purpose of optimizing alignment parameters of the detector for the Large Hadron Collider's upcoming fourth run.