M.S. Computer Science

Highlights

• GPA: 3.67/4.00.
• Thesis: Toward Vehicle-Agnostic Driving Signatures for Cognitive Impairment Prediction from Naturalistic Driving Data — defended April 2026 and published in the McKelvey School of Engineering Graduate Student Theses & Dissertations (Thesis Advisor & Committee Chair: Dr. Alvitta Ottley; Thesis Supervisor & DRIVES Lab PI: Dr. Ganesh Babulal).
• Coursework: Data Manipulation & Management at Scale, Advances in Computer Vision, Deep Reinforcement Learning, Bayesian Methods in Machine Learning, AI for Health, Algorithms for Computational Biology, Systems Security, Quantum Computing, Rapid Prototype Development, and Cognitive & Systems Neuroscience.
• Highlights: master's thesis with the DRIVES Project; Vice President of the GPSC's GPC Chamber; Graduate Assistant with the Taylor Family Center for Student Success; Graduate TA for CSE 5114; AI engineering internship at Crittero, Inc.