I am an MPhil researcher in Artificial Intelligence at Curtin University, Australia, with a focus on the application of machine learning in materials science, specifically metal–organic frameworks (MOFs) for hydrogen storage.
Projects
MOF H₂ Storage Predictor: A Deep Learning–Driven Hydrogen Storage Prediction Tool
MOF H₂ Storage Predictor is a machine-learning–based tool designed to predict hydrogen storage capacity in metal–organic frameworks (MOFs).
Project Page
MOF DB: Machine Learning–Ready Datasets for MOF Research
MOF DB is a curated database that provides machine learning–ready datasets for metal–organic framework research, integrating multiple data sources to support model training and large-scale materials screening.
Project Page
Talk2Page — AI assistant for any web page
Talk2Page is a Chrome extension that lets you ask questions about the current page. It extracts visible text (and PDF text when possible), builds context, and sends it to your chosen LLM provider.
View on GitHubSkills
Python
Pandas
NumPy
Scikit-learn
PyTorch
Feature Engineering
Model Evaluation
Predictive Modeling
GNN
Data Analysis
Matplotlib
Seaborn
Jupyter Notebook
R
Tableau
PostgreSQL
JIRA
Git
Education
02/2025 – Present
Curtin University – Master of Philosophy (Computing)
02/2024 – 12/2024
Curtin University – Master of Computing (Artificial Intelligence)
02/2023 – 12/2023
Curtin College – Masters Qualifying Program
