Rana A. Barghout

👋 Hello, I’m Rana, a PhD student at the University of Toronto, currently immersed in the world of enzyme modeling and design in the context of metabolic networks. My research at the Laboratory for Metaoblic Systems Engineering and the Chemical Cognition Lab revolves around combining machine learning with biochemical engineering to enhance genome-scale modeling and computational protein engineering.

🧬 I specialize in applying deep learning to metabolic engineering, focusing on how AI can drive innovation in understanding and optimizng biological systems. My work involves leveraging DL models to predict kinetic parameters and adapt genome-scale models in large-scale optimization frameworks, aiming to push traditional constraint-based computational biology models beyond their previous capabilities.

🔬 Driven by the potential of machine learning in biotechnology, I’m always open to collaboration opportunities and enthusiastic about mentoring students eager to dive into this field. Let’s connect through email, LinkedIn, or X if you’d like to explore the transformative impact of AI in metabolic engineering together!