Dr. Apurva Murty

Assistant Professor

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Biography

Apurva Ratan Murty is an Assistant Professor at the Georgia Institute of Technology in the School of Psychology. His research interests lie in visual intelligence, perceptual development, neurodevelopmental disorders, and the application of computational models and artificial neural networks to understand human vision. Through his work in the Murty Lab, he investigates how neural codes and algorithms allow for visual recognition, with a clear central theme of integrating biological vision with artificial models. His methodologies include closed-loop experimental testing using advanced functional-MRI techniques and cutting-edge computational approaches such as deep neural networks and AI interpretability. This research not only aims to uncover the neurobiological changes that underlie perceptual abnormalities but also seeks to create more precise models of human vision. Murty's experience includes postdoctoral research at the Massachusetts Institute of Technology, where he worked at the Center for Brains, Minds, and Machines and collaborated with esteemed mentors in neuroscience. He actively engages in mentoring students at various levels, encouraging those interested in his research to apply to his lab.

Research Interests

Experience

Postdoctoral Researcher

2018-01-01 — 2020-12-31

Center for Brains, Minds, and Machines, MIT • Cambridge, MA

Conducted research on neural and computational models of human vision.

Requirements for Georgia Institute of Technology

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:19
Reading
Required:19
Writing
Required:19
Speaking
Required:19
Total
Required:100
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:5.5
Speaking
Required:6.5
Overall
Required:7.5
Prerequisites
Undergraduate degree in computer science or related field
Application Checklist
  • Online application
  • Official transcripts
  • Three letters of recommendation
  • Statement of Purpose
Specialization Notes

Department of Computer Science: GRE scores are optional for Fall 2026.