Focused on simulations to search for new physics at the Large Hadron Collider (LHC) in Geneva, Switzerland. Within the CMS Experiment, Utilized machine learning (ML) techniques for high-dimensional kinematic problems and searched for particles with large lifetimes and the heaviest particles producible at LHC.· Compiled data from proton collision simulations, contributing to particle physics research group at UTK.· Created precise histogram of gluon production from simulated proton collision by interpreting raw data into readable format using CERN’s ROOT Python system in Linux workspace.

Focused on simulations to search for new physics at the Large Hadron Collider (LHC) in Geneva, Switzerland. Within the CMS Experiment, Utilized machine learning (ML) techniques for high-dimensional kinematic problems and searched for particles with large lifetimes and the heaviest particles producible at LHC.· Compiled data from proton collision simulations, contributing to particle physics research group at UTK.· Created precise histogram of gluon production from simulated proton collision by interpreting raw data into readable format using CERN’s ROOT Python system in Linux workspace.

Supported Dr. Joon Sue Lee in research in hard condensed matter laboratory, including preparing and growing samples, performing measurements, and writing code to calculate resistivity, conductance, and carrier density. Assisted in various sample measurement processes, contributing to advancement of research objectives.· Focused on growing alpha Tin samples, partnering with graduate students to deliver results, refining computer science skills, and improving communication skills.· Compiled and presented comprehensive results on MBE growth samples, showcasing improvements and recommendations to peers and professors.