CV
Education
- Ph.D in Computational Chemistry, Facutly of Sciences and Techniques of Tangier, Abdelmalek Essaadi University, 2023 (expected)
- M.S. in Biology and Biomaterials of the Oral Medium, Faculty of Dentistry of Rabat, Mohammed V University, 2020
- B.S. in Biology, Faculty of Sciences of Rabat, Mohammed V University, 2017
Work experience
- May 2023 to July 2023: Visiting Ph.D student
- Andalusian Center For Developmental Biology, University of Pablo de Olavide, Seville, Spain
- Duties included: Minimal inhibitory concentration (MIC) calculation, time-kill curve assays, bacterial adhesion assays
- Supervisor: Prof. Younes Smani
- May 2022 to October 2022: Visiting Ph.D student
- Department of Environmental Engineering, University of Patras, Agrinio, Greece
- Duties included: DNA Extraction, 16S ribosomal RNA amplification, amplicon libary preparation for sequencing, NGS data analysis
- Supervisor: Prof. George Tsiamis
- Fall 2021: Scientific content writing intern
- Uresearcher
- Duties included: Writing blog posts on data-driven drug discovery
- Supervisor: Dr. Pankaj Mishra
- Fall 2021: Supervising Assistant
- Facutly of Sciences and Techniques of Tangier, Abdelmalek Essaadi University
- Duties included: Teaching basic concepts of molecular modeling and chemical databases.
- Supervisor: Prof. Amal Maurady
Skills
- Molecular biology
- DNA extraction
- PCR amplification
- PCR purification
- Molecular modelling
- Molecular docking, molecular dynamics simulations, 3D-QSAR, pharmacophore modelling, virtual screening, free energy calculations
- Chemoinformatics
- Machine learning for drug discovery
- Artificial intelligence for drug discovery
- Chemical data handling, curation and analysis
- Bioinformatics
- Metagenomics data analysis
- Primer design
- In silico PCR
Publications
In silico studies of natural product-like caffeine derivatives as potential MAO-B inhibitors/AA2AR antagonists for the treatment of Parkinson’s disease Permalink
β-amino carbonyl derivatives: Synthesis, Molecular Docking, ADMET, Molecular Dynamic and Herbicidal studies. Permalink
Insights into the Structure-Activity Relationship of Alkynyl-Coumarinyl Ethers as Selective MAO-B Inhibitors Using Molecular Docking Permalink
Chemical library design, QSAR modeling and molecular dynamics simulations of naturally occurring coumarins as dual inhibitors of MAO-B and AChE Permalink
Probing the molecular mechanisms of α‑synuclein inhibitors unveils promising natural candidates through machine‑learning QSAR, pharmacophore modeling, and molecular dynamics simulations Permalink
Exploring natural products as multi-target-directed drugs for Parkinson’s disease: an in-silico approach integrating QSAR, pharmacophore modeling, and molecular dynamics simulations Permalink
Awards
- 2021 | Best Poster Award, International Bioinforamtics Conference (IBC’2021)
Talks
Docking-based virtual screening and ADME evaluation of caffeine-based phytochemicals as inhibitors of Monoamine Oxidase B Permalink
presentation at 1st International Bioinformatics Conference (iABC2021), Istanbul, Turkey
Machine Learning model to predict potential Monoamine Oxidase B inhibitors from Cannabis Compound Database Permalink
poster at International Bioinformatics Conference IBC'2021, Hotel Solazur, Tangier, Morocco
Computational studies of African Natural Products Databases to identify natural dual-target-directed antiparkinsonian drugs Permalink
presentation at International Bioinformatics Conference IBC'2021, Hotel Solazur, Tangier, Morocco
QSAR and molecular modeling studies for the discovery of natural products as multi-target-directed drugs for Parkinson’s disease Permalink
presentation at International Bioinformatics Conference IBC'2022, Hotel Solazur, Tangier, Morocco
Enhanced accuracy in predicting drug blood-brain barrier permeability with a Machine Learning Ensemble model Permalink
presentation at International Bioinformatics Conference IBC'2023, Hotel Solazur, Tangier, Morocco
Teaching
Hobbies and interests
- Organising events in the community
- Maintaining a personal blog
- Learning new skills
- Travelling