Dr. Ana Fonseca Pinto

Associate Professor

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Biography

Ana Carolina Fonseca Pinto is a Clinical Associate Professor in the Department of Veterinary Clinical Sciences at Purdue University's College of Veterinary Medicine. She has extensive training and a robust background in veterinary medicine, having received her DVM from the University of São Paulo, Brazil, in 1995. Afterward, she pursued her academic journey, earning her PhD from the same institution in 2003. Ana honed her expertise further during her residency at Purdue University, culminating in a Master's degree in 2023. Her professional experience includes serving as an Associate Professor and a PhD Professor at the University of São Paulo, alongside a tenure as an Assistant Professor. She has also worked as a Veterinary Radiologist in private practice from 1997 to 1999. Ana's research interests primarily focus on Thoracic Radiology, Cross-Sectional Imaging, and Post-Mortem Diagnostic Imaging, where she leverages advanced imaging techniques to enhance diagnostic accuracy for veterinary patients. With a strong commitment to education and research, she continues to contribute significantly to the field of veterinary diagnostic imaging.

Research Interests

Experience

Associate Professor

2014-01-01 — 2019-01-01

University São Paulo • Brazil

Taught advanced veterinary imaging techniques and supervised students in clinical settings.

PhD Professor

2003-01-01 — 2014-01-01

University São Paulo • Brazil

Conducted research and lectured on veterinary medicine, focusing on radiology.

Assistant Professor

2000-01-01 — 2003-01-01

University São Paulo • Brazil

Engaged in teaching and clinical practice in veterinary radiology.

Veterinary Radiologist

1997-01-01 — 1999-01-01

Private Practice • Brazil

Provided diagnostic imaging services and consultations.

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.