Rana Barghout

Doctoral Student at University of Toronto

Old Toronto, Ontario, Canada
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Summary

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Senior
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Rana Barghout is a PhD candidate in Chemical Engineering at the University of Toronto specializing in machine learning applications for enzyme function prediction and metabolic engineering. With eight years of research and hands-on lab experience across UBC and industry, she bridges experimental bioprocessing—running bioreactors and designing extraction and cell-culture assays—with computational metabolic modeling. Her work in the Mahadevan Lab and Chemical Cognition Lab focuses on translating ML-driven insights into practical strain and pathway design, evidencing a rare blend of wet-lab discipline and algorithmic rigor. She has led cross-disciplinary projects from prototype hardware to biochemical assays, showing both leadership and pragmatic engineering skills. Based in Toronto, she brings an applied mindset to complex biological systems, often uncovering non-obvious links between experimental constraints and model assumptions.
code8 years of coding experience
job4 years of employment as a software developer
bookBachelor of Applied Science - BASc, Chemical Engineering, Bachelor of Applied Science - BASc, Chemical Engineering at The University of British Columbia
bookDoctor of Philosophy - PhD, Chemical Engineering, Doctor of Philosophy - PhD, Chemical Engineering at University of Toronto
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Github Skills (30)

computational-biology7
systems-biology6
bioinformatics6
modeling5
sbml5
agent-based-modeling4
constraint4
metabolic-models4
python4
flux3
cobra3
constraint-programming3
simulation3
machine-learning2
deep-learning2

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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ranaabarghout/DLKcat

Aug 2022 - Sep 2023

Deep learning and Bayesian approach applied to enzyme turnover number for the improvement of enzyme-constrained genome-scale metabolic models (ecGEMs) reconstruction
Contributions:101 pushes in 1 year
metabolic-modelsreconstructiongenomeenzymedeep-learning
Contributions:39 pushes in 2 months
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Rana Barghout - Doctoral Student at University of Toronto