Shane K.

Key Skills

Software

Don't disclose

Other

Internal/Proprietary Tooling

Top Subject Matter

Data Science

Bioinformatics

Computational Biology

Top Data Types

Computer Code Programming

Image

Text

Top Task Types

Classification

Computer Programming/Coding

Object Detection

Prompt + Response Writing (SFT)

Fine-tuning

Data Collection

Freelancer Overview

Bioinformatics Intern — National Cancer Centre Singapore (NCCS). Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Master of Science, University of Malaya (UM) (2024) and Bachelor of Science, Multimedia University (MMU) (2023). AI-training focus includes data types such as Medical, DICOM, and Computer Code and labeling workflows including Classification, Evaluation, and Rating.

Labeling Experience

Master’s Research: Framework for Biological Feature Extraction and Classification

Classification

No description provided.

2024 - 2026

Teaching Assistant — Statistics I (SIT1001)

Don't disclose

Delivered tutorial sessions on statistical theory and practical applications as a teaching assistant, supporting student learning of data-driven methods. Guided undergraduates in applying statistical concepts to practical problems that underpin machine learning model development and evaluation. Helped reinforce correct analytical approaches through instruction and ongoing feedback during the course. • Conducted first-year tutorial delivery on statistics topics • Supported practical understanding of data analysis workflows • Reinforced evaluation practices for statistical/ML contexts • Provided learning support to students during the course term

2025 - 2025

Bioinformatics Intern — National Cancer Centre Singapore (NCCS)

Don't discloseClassification

Managed and analyzed sensitive hepatocellular carcinoma (HCC) clinical datasets in support of downstream AI/biomedical analytics for patient subgroups and potential drug targets. Performed gene set enrichment analysis (GSEA) on ChIP-seq data to identify gene/pathway signals associated with different HCC types. Ensured compliance with strict data protection, confidentiality, and ethical standards during all data handling activities. • Worked with patient-derived genomic datasets to support computational interpretation • Curated and prepared data suitable for enrichment analyses • Followed governance requirements for secure handling of clinical data • Supported computing environment setup and maintenance for analysis workflows

2023 - 2023

Education

Work History