Aby Joy
Heidelberg Heights,VIC
Summary
Motivated bioinformatician with hands-on experience in genomic data analysis, pipeline development and infectious disease genomics. Adept at interpreting complex sequencing data with precision and communicating results clearly to multidisciplinary teams. Focused on supporting high-quality diagnostic and public health genomics services.
Overview
2
2
years of professional experience
Work History
Intern
Csiro
Geelong, VIC
06.2025 - 10.2025
- Conducted whole genome sequencing (WGS) data analysis on bat samples.
- Evaluated assembly quality with CompleASm, BUSCO, QUAST, and genome completeness metrics.
- Performed QC, alignment checks, and contamination screening to validate comparative results.
- Automated analysis steps with Python, Bash, and Linux/Unix on HPC environments.
- Summarised findings in clear reports and visual outputs for internal research teams.
Research Assistant
Accubits Invent
07.2023 - 12.2023
- Analysed livestock methane emission datasets using Python, and Excel, applying statistical and bioinformatics methods to identify reduction strategies.
- Conducted literature reviews and data mining on microbial genomes, methane-related genes, and feed-microbiome interactions.
- Prepared reproducible analysis workflows, visualisations, and reports to communicate insights to research teams.
- Ensured data integrity, quality control, and compliance with biosafety and research standards.
Education
Master of Science - Biotechnology
RMIT University
Melbourne, Victoria, VIC12-2025
Bachelor in Technology - Biotechnology And Biochemical Engineering
Sree Chithira Thirunal College of Engineering
Kerala, India06-2023
Skills
- Bioinformatics & Genomics: BUSCO, CompleASm, QUAST, RAST, BLAST, FastQC, genome comparison, metagenomic and microbiome analysis
- Programming & HPC: Python, Bash, workflow automation, high-performance computing (HPC)
- Data Analysis & Visualization: Statistical analysis, data cleaning, Excel, matplotlib, seaborn, reproducible reporting
- Soft Skills: Critical thinking, collaborative teamwork, project management, attention to detail, scientific communication
Projects
Machine Learning Project – Breast Cancer Prediction
- Developed predictive models to classify breast cancer cases using clinical and genetic datasets.
- Applied Python libraries such as scikit-learn, pandas, NumPy, and matplotlib for data preprocessing, feature selection, and model evaluation.
- Built and compared models including logistic regression, decision trees, random forest, and SVM to optimise prediction accuracy.
Antibiotic Resistance Risk Assessment Tool (ARRAT)
- Developed a Python-based tool to assess antibiotic resistance risk using web-crawled data from multiple sources.
- Implemented data cleaning, integration, and analysis pipelines using Python libraries (NumPy, pandas, matplotlib).
- Created interactive visualisations and reports to summarise resistance trends and identify high-risk factors.
Timeline
Intern
Csiro
06.2025 - 10.2025
Research Assistant
Accubits Invent
07.2023 - 12.2023
Master of Science - Biotechnology
RMIT University
Bachelor in Technology - Biotechnology And Biochemical Engineering
Sree Chithira Thirunal College of Engineering