Wagwan, I'm
Bridging the gap between Molecular Science and Software Engineering. I build digital tools to solve biological problems.
I am a final-year B.Sc. Biochemistry student at the University of Nairobi (Class of 2026). While my academic foundation is in the lab, my curiosity led me to teach myself Python and Web Development.
I don't just memorize pathways; I code them. My goal is to leverage Machine Learning and Data Analysis to advance drug discovery and molecular modelling.
When I'm not running docking simulations or debugging code, you can find me analyzing Rugby tactics or watching American Football.
A full-stack community platform bridging the gap between academic learning and professional excellence for women in Biochemistry at the University of Nairobi.
The platform facilitates resource sharing, peer-to-peer discussion, and professional networking.
Investigating the molecular docking potential of Allium sativum secondary metabolites (e.g., Allicin, Ajoene) against Aspergillus flavus proteins to identify natural antifungal inhibitors.
You are looking at it. A responsive, high-performance web application designed to showcase my dual background. Deployed via CI/CD pipeline on Vercel.
A web application that quantifies nucleotide composition (A, T, G, C) from raw DNA sequences and visualizes the results. Built to streamline genomic data analysis.
A planned exploration into using Large Language Models (LLMs) to predict protein structures based on amino acid sequences, extending my work on molecular docking.