Daniel Anderson

Daniel Anderson serves as an Assistant Teaching Professor within the Computer Science Department at Carnegie Mellon University, based in office 4124 of the Gates and Hillman Centers. His academic role focuses on curriculum delivery and student instruction across multiple advanced computing courses.

His research and pedagogical expertise centers on core computer science disciplines, with particular emphasis on:

• Algorithms: Specializing in design, optimization, and complexity analysis of computational methods
• Machine Learning: Focusing on practical implementation frameworks and educational approaches to model training
• Programming Education: Developing innovative techniques for teaching foundational and advanced coding concepts

Professor Anderson maintains an active teaching schedule spanning Spring 2024 through Fall 2025, consistently instructing flagship courses including 15-451 (Algorithm Design and Analysis), 15-651 (Machine Learning), and 15-110 (Principles of Computing) across both undergraduate and graduate levels. Administrative support for his position is provided by Marcella Baker.