Medically trained (MBBS) data scientist with published research in clinical ML and active MSc dissertation work in deep learning for protein science.

• PPI Prediction for Alzheimer's Disease — Multimodal pipeline: transformer protein embeddings (ESM/ProtBERT) + MSA evolutionary features + cavity-level structural descriptors. Positive-Unlabelled classifier: AUC-ROC 0.9965, AUPR 0.9989. (Preprint in preparation)
• Generative Protein Design — Conditional Wasserstein GAN for biologically plausible protein sequence generation conditioned on AD-associated proteins
• Published — Predictive Modelling for Thyroid Cancer Recurrence, Springer LNNS (ICDPN-2025)
• Tools — PyTorch · Hugging Face · ESM/ProtBERT · Biopython · gemmi · RDKit · AlphaFold2 · scikit-learn · PySpark

Founder of Esusu — a decentralised community savings platform on Celo Mainnet with 685+ daily active users, $35K+ in grants secured, and an autonomous onchain AI agent (ERC-8004).

Hackathon wins: 6× prize winner across Celo, Coinbase, and GoodDollar ecosystems · Coinbase Developer Hall of Fame

Biomolecular & Data Science PyTorch Hugging Face ESM/ProtBERT Biopython gemmi RDKit AlphaFold2 scikit-learn statsmodels PySpark NiBabel Nilearn

Web3 & Smart Contracts Solidity Foundry Hardhat Viem Ethers.js Wagmi OpenZeppelin Thirdweb ChainLink GOAT SDK

Frontend & Backend TypeScript Next.js React Node.js Python SQL MongoDB TailwindCSS Shadcn UI

Infrastructure & Deployment Vercel Docker AWS Firebase Git/GitHub Streamlit

• Udogwu E., Liu H. Predictive Modelling for Thyroid Cancer Recurrence Using Supervised Learning Algorithms. Springer LNNS (ICDPN-2025). (Accepted)
• Integrating Sequence and Structural Signals for PPI Prediction: A PU-Learner and cWGAN Applied to Alzheimer's Disease. (Preprint in preparation)
• Supervised Learning Algorithm in the Prediction of Stroke Using PySpark. (Preprint)