PhD Computer Science • Statistical Consulting • Machine Learning Systems
I am Christopher Sefcik, a Computer Science PhD researcher focused on the intersection of algorithms, artificial intelligence, and mathematical systems.
My work integrates theoretical computer science with practical systems in machine learning, software engineering, and data-driven modeling.
Design and analysis of efficient computational systems.
Machine learning, deep learning, and intelligent systems.
Architecture, query optimization, and distributed systems.
Parallel processing, distributed computing
Secure systems and encryption protocols.
Scalable architecture and system design.
Discrete math, linear algebra, probability, and optimization.
Open to academic collaboration, statistical consulting, and machine learning system development.