Dr. Noah Snavely

Professor

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Biography

Noah Snavely is a Professor in the Department of Computer Science at Cornell Tech, focusing on advancing the fields of computer vision and computer graphics. He is recognized for his prominent contributions to 3D understanding and scene depiction from images, indicating his deep involvement in both theoretical and applied aspects of visual perception technology. Noah's extensive research has been published widely, showcasing applications ranging from MegaDepth to various crowd-sourcing datasets, enhancing the understanding of scene chronology and reconstruction techniques. His works have earned him several prestigious accolades, including the Presidential Early Career Award for Scientists and Engineers (PECASE) and the Microsoft New Faculty Fellowship, cementing his status as a leader in the academic community. He actively collaborates with technology giants like Google DeepMind while nurturing a body of work that engages and informs future generations of engineers and researchers in the field. Noah has mentored numerous postgraduate students and continues to contribute significantly to the visual computing landscape through education and collaboration. He is a fellow of both the ACM and IEEE, reflecting his stature in the technical community. His commitment to innovating in computer vision is evident in his projects and the interdisciplinary approach he promotes in his teaching.

Research Interests

Requirements for Cornell Tech

Master Program
Requirements
GPA Requirement
Required:3
GRE General
TOEFL
Listening
Required:15
Reading
Required:20
Writing
Required:20
Speaking
Required:22
Total
Required:100
IELTS
Overall
Required:7
Prerequisites
Linear Algebra Intermediate-level Probability and Statistics Programming course
Application Checklist
  • Academic Statement of Purpose
  • Personal Statement
  • Resume
  • Two letters of recommendation
  • Transcripts
Specialization Notes

The M.Eng. in ORIE at Cornell Tech focuses on Data Analytics and Operations Research in a tech environment.