For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

Invite to Job
Y
Yagiz Akiska

Yagiz Akiska

Companion Diagnostics Pathology Intern (Image Labeling)

USA flagRemote, Usa
Intermediate

Key Skills

Software

No software listed

Top Subject Matter

Digital Pathology
Medical Images
Morphomics Domain Expertise

Top Data Types

ImageImage

Top Task Types

ClassificationClassification

Freelancer Overview

Companion Diagnostics Pathology Intern (Image Labeling). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include HALO and MATLAB. Education includes Doctor of Medicine, University of Maryland (2026) and Doctor of Medicine, MedStar Washington Hospital Center (2026). AI-training focus includes data types such as Medical, DICOM, and Image and labeling workflows including Classification.

Intermediate

Labeling Experience

Companion Diagnostics Pathology Intern (Image Labeling)

Classification
Worked with HALO Image Analysis Software for image analysis standardization and workflow improvement. Labeled and analyzed IHC assay variations in medical images. Standardized assay transfer and workflow for data consistency across projects. • Annotated and classified immunohistochemistry image data. • Utilized HALO software for digital pathology labeling tasks. • Collaborated with pathology team on companion diagnostics projects. • Ensured high-quality, consistent labels for downstream analysis.

Worked with HALO Image Analysis Software for image analysis standardization and workflow improvement. Labeled and analyzed IHC assay variations in medical images. Standardized assay transfer and workflow for data consistency across projects. • Annotated and classified immunohistochemistry image data. • Utilized HALO software for digital pathology labeling tasks. • Collaborated with pathology team on companion diagnostics projects. • Ensured high-quality, consistent labels for downstream analysis.

2020 - 2020

Morphomics Lab Assistant (Biomarker Labeling from Imaging)

ImageClassification
Used MATLAB to measure and analyze biomarkers of body composition from CT scans. Labeled specific anatomical features and conditions for morphomic analysis. Ensured quantitative accuracy for surgical outcome research relying on consistent labeled datasets. • Labeled and classified CT scan features. • Applied morphomic analysis for patient surgical risk assessment. • Supported group projects with accurate data labeling. • Used MATLAB for annotation of medical image data.

Used MATLAB to measure and analyze biomarkers of body composition from CT scans. Labeled specific anatomical features and conditions for morphomic analysis. Ensured quantitative accuracy for surgical outcome research relying on consistent labeled datasets. • Labeled and classified CT scan features. • Applied morphomic analysis for patient surgical risk assessment. • Supported group projects with accurate data labeling. • Used MATLAB for annotation of medical image data.

2018 - 2018

Education

T

The George Washington University School of Medicine & Health Sciences

Doctor of Medicine and Master of Public Health, Medicine and Public Health

Doctor of Medicine and Master of Public Health
2021 - 2026
U

University of Michigan

Bachelor of Science in Engineering, Biomedical Engineering

Bachelor of Science in Engineering
2017 - 2021

Work History

F

Flatiron Health

Clinical Data Abstractor - Oncology

Remote
2023 - 2023
A

Abbvie

Summer Experiential Intern - Companion Diagnostics

South San Francisco
2020 - 2020