My projects connect scientific questions with data preparation, modelling, and interpretation. The work below includes independent exploration, an earlier capstone, and professional technical education.
Biomedical knowledge graphs and link prediction
Independent exploration · 2026–present
Investigating gene relationships around NLRP3 and LGALS3 using OptimusKG and BioPathNet. I prepare graph data, evaluate withheld recorded interactions, compare rankings with simple graph measures, and inspect paths to understand the context behind predictions.
Drug–kinase bioactivity prediction
Independent capstone · Molecular ML
A workflow combining molecular fingerprints and protein sequence representations to predict pChemBL values. The project explores feature preparation, regression models, and protein clustering.
Read the project overview → · View code
Technical education and data project mentoring
Professional work · Corndel and Multiverse
Developing data analytics and engineering learning pathways, creating interactive Python resources, and helping learners apply technical methods to practical problems.
Read about the work → · Textbook repository
Microscopy image classification
Earlier learning project · Computer vision
A CNN-based cell classification project, accompanied by an explanatory tutorial using fast.ai. The repository references published microscopy research and the fast.ai course.
Earlier exploration: Spotify song analysis
A collaborative project exploring seasonal and economic patterns in song attributes, including API-based data collection and hypothesis testing.