Ethan K. Ragbir

Double major in Physics and Mathematics with a focus on atmospheric and particle physics research. Actively engaged in undergraduate research programs at both TCNJ and Rutgers University.

• Relevant Coursework: Quantum Mechanics, Thermodynamics, Statistical Mechanics, Mathematical Physics, Linear Algebra, Differential Equations
• Research Focus: Ice morphology studies and machine learning applications in particle physics
• Academic Honors: Dean's List
• Academic Advisors: Dr. Qifu Zheng (Mathematics), Dr. Wad Thulsi Wickramasinghe (Physics)

Investigating ice crystal formation and morphology under extreme atmospheric conditions to better understand cloud physics and climate modeling.

• Study ice morphology of clouds at temperatures between -45°C to -65°C
• Analyze vapor supersaturations ranging from 5% to 100% relative to ice equilibrium
• Develop computational models for predicting ice crystal phase transitions
• Goal: Publish research paper in geophysics on ice crystal phase behavior under various atmospheric conditions
• Research Advisor: Dr. Nathan Magee

Collaborative research with CERN scientists analyzing data from the Compact Muon Solenoid (CMS) detector using advanced machine learning techniques.

• Process and analyze particle collision data from the Large Hadron Collider (LHC)
• Implement machine learning algorithms for particle identification and event classification
• Collaborate with international research teams at CERN for data interpretation
• Contribute to the advancement of our understanding of fundamental particle interactions
• Research Advisors: Dr. Alan Richards, Dr. Sunil Somalwar