Dr. Corey Maley

Associate Professor

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Biography

Corey Maley is an Associate Professor in the College of Liberal Arts at Purdue University. His research focuses on foundational issues in the philosophy of computation, particularly the integration of analog forms of non-digital computation into a coherent conceptual framework. Corey earned his B.S. and B.A. with a quadruple major in computer science, mathematics, philosophy, and psychology from the University of Nebraska. He also spent time working at the cognitive neuroscience lab at Washington University in St. Louis, which enhanced his appreciation for the philosophical aspects of science. After completing his Ph.D. in Logic, Philosophy of Science at Princeton University, Corey began exploring the foundational questions surrounding computation. His work includes writing a book manuscript titled “The Analog Brain,” which is under contract with Oxford University Press. Corey has received the NSF Scholar Award for his research, which aims to unify cognitive neural computations posited by scientists to explain both artificial and natural mentality. He examines how different forms of computation can inform our understanding and addresses significant gaps regarding the nature of analog computation compared to digital computation. His research is crucial in elucidating the characteristics that define computation across mediums, emphasizing the unique role of physical magnitudes in analog computation.

Research Interests

Requirements for Purdue University

Master Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:100
IELTS
Listening
Required:7
Reading
Required:7
Writing
Required:7
Speaking
Required:7
Overall
Required:7.5
Duolingo
Overall Score
Required:135
Overall
Required:135
Prerequisites
Bachelor's degree in CS or related field Foundational concepts of computer science Data structures Computer architecture Operating systems Mathematics through differential equations Linear and matrix algebra
Application Checklist
  • Official Transcripts
  • Academic Statement of Purpose
  • Personal History Statement
  • Resume
  • Three Letters of Recommendation
  • CS Supplementary Form
Specialization Notes

GRE is not required.