The Minds Behind AML2Ligand

We are computer science students from the Faculty of Computers and Artificial Intelligence, Department of Operations Research and Decision Support. Enthusiasts of computational biology and AI-driven drug discovery — building the next generation of synthetic oracles.

5+Team Members
AMLDisease Focus
AI & ORDisciplines
2026Graduation Project

Our Mission

Harnessing the intersection of artificial intelligence and molecular biology to accelerate life-saving therapies for one of oncology's most complex diseases.

AI-First Research

Every decision in our pipeline is informed by our department vision. We build models that learn the language of chemistry and biology to propose hypotheses no human would reach alone.

Precision Genomics

We exploit RNA-Seq profiles of AML patients to identify the exact molecular vulnerabilities of each tumour subtype — enabling targeted therapies with minimal collateral damage.

Translational Science

Our in-silico predictions are designed to be immediately testable. We close the loop between computational proposals and wet-lab validation to accelerate the development cycle.

Collaborative by Design

We are students, researchers, and engineers working at the intersection of computer science, operations research, and molecular biology — because hard problems need diverse minds.

Core Research Team

Architecting the intersection of deep learning and molecular biology.

Bridging the gap between complex AI models and an intuitive user experience. I design the systems that turn raw molecular predictions into actionable clinical insights for researchers.

PyTorchCUDAMLOps

Abdullah El-Afifi

AI Drug Discovery Scientist

Abdullah El-Afifi
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