Magd Badaoui
About Magd Badaoui
Magd Badaoui is a Molecular Dynamics Research Scientist at Exscientia in Oxford, England, with extensive experience in computational chemistry and molecular dynamics simulations. He holds a PhD from King's College London and has worked at several prestigious institutions, including UCL and The Francis Crick Institute.
Work at Exscientia
Magd Badaoui has been employed as a Molecular Dynamics Research Scientist at Exscientia since 2021. In this role, he focuses on computational analysis and simulations related to biologically active compounds. His work is based in Oxford, England, where he has contributed to various projects over the past three years, leveraging his expertise in molecular dynamics and computational chemistry.
Education and Expertise
Magd Badaoui holds a Doctor of Philosophy (PhD) in Computational Chemistry from King's College London, which he completed from 2016 to 2020. He also earned a Master of Science (MSc) in Drug Design from University College London (UCL) in 2016. His undergraduate studies were conducted at Università degli Studi di Milano, where he studied Pharmacy and achieved a degree in Chemistry and Pharmaceutical Technology from 2007 to 2013.
Background
Before joining Exscientia, Magd Badaoui worked as a Postdoctoral Research Fellow at UCL for seven months in 2021. He also served as a PhD Student at The Francis Crick Institute from 2017 to 2021, where he gained significant research experience. Earlier in his career, he worked at the University of Milan as a Tesi Sperimentale at the Department of Pharmaceutical Sciences from 2012 to 2013.
Technical Skills and Software Proficiency
Magd Badaoui possesses extensive technical skills in computational chemistry and molecular dynamics. He is proficient in software such as PyMOL, VMD, Chimera, Hermes, and GaussView for analyzing biologically active compounds. His expertise includes performing MM-PB(GB)SA calculations with Amber12 and conducting molecular dynamics simulations using NAMD, Amber12, and Gromacs6.2. He also utilizes Modeller for homology modeling of proteins.
Research Techniques and Methodologies
Magd Badaoui is skilled in various purification methods, including solvent extraction, crystallization, and chromatography techniques such as flash column chromatography, HPLC, and TLC. He has experience with characterization techniques, particularly nuclear magnetic resonance (1H-NMR, 13C-NMR, COSY). Additionally, he specializes in ligand docking using Gold5.1 software and has expertise in synthetic organic chemistry techniques, including bench and microwave chemistry.