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J

Jordan Lopez

Student Intern - Medical Imaging Annotation

USA flagLos Angeles, Usa
Entry LevelOther

Key Skills

Software

Other

Top Subject Matter

Pediatric neurology
Neuroimaging Domain Expertise
Epilepsy Domain Expertise

Top Data Types

ImageImage
TextText
DocumentDocument

Top Task Types

SegmentationSegmentation
ClassificationClassification

Freelancer Overview

No overview added yet.

Entry Level

Labeling Experience

Researcher - Brain Tumor Image Classification, Data Annotator

OtherImageClassification
I built and trained a convolutional neural network to classify brain tumors from MRI images as part of a research project. The process involved annotating and labeling thousands of MRI images in the BraTS dataset, assigning tumor types based on provided criteria. I performed quality control checks to ensure data integrity and model effectiveness. • Labeled and classified glioma, meningioma, and pituitary tumors in MRI images. • Used Python and PyTorch for data preprocessing and annotation pipeline. • Conducted accuracy validation runs to refine labels and outputs. • Maintained meticulous record-keeping throughout experimental labeling.

I built and trained a convolutional neural network to classify brain tumors from MRI images as part of a research project. The process involved annotating and labeling thousands of MRI images in the BraTS dataset, assigning tumor types based on provided criteria. I performed quality control checks to ensure data integrity and model effectiveness. • Labeled and classified glioma, meningioma, and pituitary tumors in MRI images. • Used Python and PyTorch for data preprocessing and annotation pipeline. • Conducted accuracy validation runs to refine labels and outputs. • Maintained meticulous record-keeping throughout experimental labeling.

2025 - Present

Student Intern - Medical Imaging Annotation

OtherSegmentation
I analyzed pediatric fMRI and DTI data to investigate brain function and white matter tract abnormalities. My work included segmenting brain regions and annotating abnormal areas related to epilepsy, tumors, and developmental delays. The process required reviewing medical imaging, identifying specific features, and validating results with neurodiagnostic teams. • Segmented regions of interest (ROIs) on fMRI and DTI scans. • Labeled abnormal tissue features and white matter tracts across patient populations. • Used medical imaging analysis software for segmentation tasks. • Collaborated with clinical researchers to maintain data accuracy.

I analyzed pediatric fMRI and DTI data to investigate brain function and white matter tract abnormalities. My work included segmenting brain regions and annotating abnormal areas related to epilepsy, tumors, and developmental delays. The process required reviewing medical imaging, identifying specific features, and validating results with neurodiagnostic teams. • Segmented regions of interest (ROIs) on fMRI and DTI scans. • Labeled abnormal tissue features and white matter tracts across patient populations. • Used medical imaging analysis software for segmentation tasks. • Collaborated with clinical researchers to maintain data accuracy.

2022 - 2024

Education

W

West Hills College Lemoore

Associate of Arts, Psychology and Political Science

Associate of Arts
2023 - 2024
U

University of Southern California

Bachelor of Science, Biomedical Engineering and Computational Neuroscience

Bachelor of Science
2024

Work History

V

Valley Children's Healthcare

Hospital Sanitation Specialist I

Madera
2024 - 2024
J

Jamba Juice Franchise

Team Leader

Hanford
2023 - 2024