Yasmine Nahal

Yasmine Nahal serves as a Doctoral Researcher within the Department of Computer Science at Aalto University, Finland. Her position involves conducting cutting-edge research at the nexus of artificial intelligence and pharmaceutical sciences, specifically targeting the enhancement of drug discovery processes through human-AI collaboration. She is actively contributing to the development of novel computational frameworks that empower chemists with intelligent tools for molecule design and analysis.

Her research expertise spans drug discovery, cheminformatics, machine learning, and human-computer interaction. Key focus areas include interpretable AI models for chemist preferences, robust detection of assay-interfering compounds, and goal-oriented molecule generation via active learning. She pioneers techniques that seamlessly integrate domain expert feedback into generative chemistry models, thereby bridging the gap between computational predictions and practical chemical intuition.

Examining her publication record from 2023 to 2025, a clear trajectory emerges: advancing human-in-the-loop methodologies in drug discovery. Her contributions address critical challenges such as aligning proxy rewards with ground truth in molecular generation, creating user interfaces for expert feedback collection (Metis), and developing expert-guided augmentation strategies (E-GuARD) to improve compound screening reliability. This body of work underscores a commitment to making AI systems more transparent, reliable, and useful for medicinal chemists.

No scientific awards are documented for Yasmine Nahal in the available sources. As a doctoral researcher, she is currently engaged in her PhD studies and does not supervise students. Information regarding research grants, laboratory affiliations, or team memberships was not provided in the source material.