Malek I.

Key Skills

Software

Other

Top Subject Matter

Statistical QA and methodological verification for research outputs

Clinical AI for medical imaging and foundation model safety

Financial Machine Learning

Top Data Types

Text

Top Task Types

Classification

Segmentation

Fine-tuning

Text Summarization

Evaluation/Rating

Computer Programming/Coding

Freelancer Overview

Statistician. Brings 11+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Master of Science, Beirut Arab University (2026) and Bachelor of Science, American University of Beirut. AI-training focus includes data types such as Medical, DICOM, and Text and labeling workflows including Evaluation, Rating, and Computer Programming.

Labeling Experience

Statistician, Center of Applied Statistics (Aug 2025–Present)

OtherText

Reviewed and verified statistical analyses across a large set of research outputs, ensuring methodological consistency suitable for publication. Audited model outputs and supported quality assurance for multiple study types, including dissertations and peer-reviewed manuscripts. Worked within applied statistical research to standardize verification and reporting practices across projects. • Verified statistical analyses and audited model outputs. • Ensured methodological consistency across 42 research projects. • Supported QA for publications including theses and journal manuscripts. • Coordinated verification across multiple academic research formats.

2025 - Present

Data Scientist (short-term consulting contract), metaSOFT (May 2025–Aug 2025)

Defined and implemented reproducible ML workflows for clinical foundation-model auditing, translating identified risks into guardrails for downstream clinical use. Conducted model assessment to characterize failure modes and determine suitability constraints for clinical settings. Designed prototyping and reporting workflows intended to support consistent generation and interpretation of imaging-related outputs. • Audited foundation models for clinical use and documented failure modes. • Established evaluation and quality checks/guardrails for clinical deployment. • Built imaging and report-generation prototypes for review readiness. • Analyzed hospital datasets to inform operational efficiency findings.

2025 - 2025

Statistical Lab Demonstrator, University of Szeged (Sep 2022–Jan 2024)

Other

Delivered instruction to first-year medical students on medical statistics and R, focusing on practical computational skills for analyzing medical data. Prepared coursework exercises intended to improve student exam readiness through guided computation and statistical reasoning. Acted as a demonstrator to support learning of reproducible analysis methods in an academic medical context. • Taught medical statistics concepts with R programming. • Prepared and structured student exercises for assessment preparation. • Supported reproducible statistical workflows for beginners. • Provided teaching assistance for consistent analysis practice.

2022 - 2024

Education

Work History