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Laura Pons

Laura Pons

Digital Pathology Annotation Specialist

Spain flagSabadell, Spain
$55.00/hrIntermediateInternal Proprietary Tooling

Key Skills

Software

Internal/Proprietary Tooling

Top Subject Matter

Pathology/Medical AI

Top Data Types

ImageImage
Medical DicomMedical Dicom

Top Task Types

DiagnosisDiagnosis
SegmentationSegmentation
ClassificationClassification
Object DetectionObject Detection

Freelancer Overview

Digital Pathology Annotation Specialist. As a board-certified pathologist with 6 years of diagnostic experience, I have been actively involved in the development and clinical implementation of AI algorithms in anatomical pathology. My role has included medical data annotation, dataset curation, and quality control of histopathological data, as well as the clinical validation of model outputs. I have contributed to projects where these algorithms are already integrated into clinical workflows, ensuring that training data is accurate, consistent, and representative of real-world diagnostic scenarios. Through this work, I have developed strong expertise in high-quality labeling of complex medical data, particularly in digital pathology and whole-slide imaging (WSI). I am highly detail-oriented and skilled at identifying subtle histological patterns, which is critical for generating reliable ground truth datasets. Additionally, I have experience collaborating with multidisciplinary AI teams, translating clinical knowledge into structured annotations and contributing to the continuous improvement of model performance. My combination of hands-on clinical experience and direct involvement in AI development allows me to deliver precise, scalable, and clinically meaningful annotation work. Education includes Doctor of Medicine (2025).

IntermediateEnglishSpanishCatalan

Labeling Experience

Digital Pathology Annotation Specialist

ImageClassification
I actively contributed to the annotation, validation, and dataset curation for artificial intelligence algorithms applied in pathology. My responsibilities included ensuring medical accuracy and robustness of computational models via high-quality labeling of complex medical images. These tasks required close collaboration between clinical and technical teams to support the clinical implementation of AI in diagnostics. • Performed detailed labeling of digital pathology slides for use in machine learning. • Collaborated with AI development teams to validate and improve clinical model performance. • Participated in the curation and integration of annotated datasets into real-world diagnostic workflows. • Maintained a commitment to precise, high-quality data annotation in medical domains.

I actively contributed to the annotation, validation, and dataset curation for artificial intelligence algorithms applied in pathology. My responsibilities included ensuring medical accuracy and robustness of computational models via high-quality labeling of complex medical images. These tasks required close collaboration between clinical and technical teams to support the clinical implementation of AI in diagnostics. • Performed detailed labeling of digital pathology slides for use in machine learning. • Collaborated with AI development teams to validate and improve clinical model performance. • Participated in the curation and integration of annotated datasets into real-world diagnostic workflows. • Maintained a commitment to precise, high-quality data annotation in medical domains.

2024 - Present

Education

A

Autonomous University of Barcelona

Doctor of Medicine, Medicine

Doctor of Medicine
2025 - 2025
A

Autonomous University of Barcelona

Medical Doctor (Specialist), Anatomic Pathology

Medical Doctor (Specialist)
2016 - 2020

Work History

H

Hospital Germans Trias i Pujol

Pathologist

Badalona
2020 - Present