Toolkit & Resources
The technical stack and computational tools I use to bridge pharmaceutical sciences and machine learning.
Tools I Use Daily
Python
Core language for scripting, data analysis, and computational modeling
VS Code
Primary development environment
Git
Version control for every codebase and analysis pipeline
GitHub
Hosting reproductions, open notebooks, and portfolio code
Pandas
Data wrangling for genomics and chemical biological datasets
PyMOL
3D molecular visualization and structural analysis
Tools I Am Learning
PyTorch
Deep learning framework for building predictive models
RDKit
Cheminformatics toolkit for molecular structure handling
Biopython
Sequence alignment and structural bioinformatics in Python
ChEMBL API
Querying bioactivity and drug-target interaction data
AutoDock Vina
Molecular docking simulations and binding affinity estimation