Dr. Kathryn Jones

Assistant Professor

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Biography

Kathryn Maxson Jones is an Assistant Professor in the Department of History at Purdue University with a focus on the intersections of history, neuroscience, biology, and artificial intelligence. Her current research involves a book entitled "Sea Change: Squid Giant Axon Transformation in Neurobiology," which examines the historical significance of the squid giant axon as an experimental model from the 20th to 21st century. This work builds on her award-winning doctoral dissertation and aims to explore the implications of neurobiological research. Dr. Jones is also engaged in studying the histories of regenerative biology and experimental model organisms in life sciences, molecular biology, and genomic advancements. She collaborates with the Marine Biological Laboratory in Woods Hole, MA, on interdisciplinary projects investigating neuron regeneration. Her contributions to the field are recognized through publications in journals such as Neuron, Science, and Annual Review of Genomics and Human Genetics. Furthermore, she had been involved with the U.S. BRAIN Initiative, particularly concerning ethical challenges related to human data sharing and the recent project "BRAINshare: Sharing Data BRAIN Initiative Studies." Dr. Jones holds a B.S. in Biology from Duke University and both an M.A. and Ph.D. in the History of Science from Princeton University. Outside of academia, she enjoys running, cooking, and spending time with her Shih Tzu, Lilly.

Research Interests

Experience

Assistant Professor

— Present

Purdue University • West Lafayette, IN

Instructor focused on the history of science and technology.

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.