CV
Education
- Ph.D. in Cheminformatics and Computational Chemistry, National School of Applied Sciences of Tangier, Abdelmalek Essaadi University, Tetouan, Morocco, 2024
- Thesis: Data-driven discovery of bioactive natural products: Application to neurodegenerative and infectious diseases
- M.S. in Biology and Biomaterials of the Oral Medium, Faculty of Dentistry of Rabat, Mohammed V University, Rabat, Morocco, 2020
- B.S. in Biology, Faculty of Sciences of Rabat, Mohammed V University, Rabat, Morocco, 2017
Work Experience
- Scientific Methodology Supervisor (Oct 2024 to Nov 2024)
Al-Zahrawi International University of Health Sciences, Rabat, Morocco- Taught scientific methodology and supervised medical students in thesis writing
- Ensured proper research design, data analysis, and adherence to academic standards
- Associate Researcher (Jul 2024 to Present)
- Led undergraduate lectures and seminars on cheminformatics and biochemistry
- Assisted in biochemistry laboratory demonstrations
- Supervised bachelor’s and master’s thesis students
- Visiting Ph.D. Student (May 2023 to Jul 2023)
Andalusian Center for Developmental Biology, University of Pablo de Olavide, Seville, Spain- Conducted minimal inhibitory concentration (MIC) calculations and time-kill curve assays
- Performed bacterial adhesion assays under the supervision of Prof. Younes Smani
- Visiting Ph.D. Student (May 2022 to Oct 2022)
Department of Environmental Engineering, University of Patras, Agrinio, Greece- Performed DNA extraction, 16S rRNA amplification, amplicon library preparation for sequencing, and NGS data analysis
- Supervised by Prof. George Tsiamis
- Scientific Content Writing Intern (Fall 2021)
Uresearcher- Wrote blog posts on data-driven drug discovery
- Supervisor: Dr. Pankaj Mishra
- Scientific Content Writer (Winter 2024)
Neovarsity- Authored articles on data-driven drug discovery
- Supervisor: Dr. Pankaj Mishra
- Supervising Assistant (Fall 2021)
Faculty of Sciences and Techniques of Tangier, Abdelmalek Essaadi University- Taught molecular modeling and chemical database concepts
- Supervisor: Prof. Amal Maurady
Skills
Laboratory Techniques
- DNA extraction, PCR amplification, PCR purification
- MIC calculations, bacterial adhesion assays
Computational Skills
- Molecular modeling: Molecular docking, molecular dynamics simulations, 3D-QSAR, pharmacophore modeling, virtual screening, free energy calculations
- Cheminformatics: Machine learning and AI for drug discovery, chemical data curation and analysis
- Bioinformatics: Metagenomics data analysis, primer design, in silico PCR
- Tools and software: GROMACS, AutoDock, PyMOL, scikit-learn, TensorFlow, R, Python
Professional Skills
- Scientific writing and editing
- Teaching and mentoring
- Project management
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
Identification of novel dual acting ligands targeting the adenosine A2A and serotonin 5-HT1A receptors Permalink
Antibiotic discovery with artificial intelligence for the treatment of Acinetobacter baumannii infections Permalink
Dendrobium nobile alkaloids modulate calcium dysregulation and neuroinflammation in Alzheimer’s disease: A bioinformatic analysis Permalink
Identification of Natural Inhibitors of SARS-CoV-2 Main Protease (Mpro) via Structure-Based Virtual Screening and Molecular Dynamics Simulations Permalink
In silico Discovery of Dual Ligands Targeting MAO-B and AA2AR from African Natural Products Using Pharmacophore Modelling, Molecular Docking, and Molecular Dynamics Simulations Permalink
Computational exploration of acefylline derivatives as MAO-B inhibitors for Parkinson’s disease: insights from molecular docking, DFT, ADMET, and molecular dynamics approaches Permalink
Awards
- 2021 | Best Poster Award, International Bioinformatics Conference (IBC’2021)
- 2022 | Erasmus+ KA 107 Mobility for Studies
- 2023 | Erasmus+ Mobility for Traineeships
- 2024 | Best ePoster Award, International eHealth Forum - Morocco 2024
Conferences
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
Antibiotic discovery with artificial intelligence for the treatment of Acinetobacter baumannii infections Permalink
poster at International eHealth Forum 2024, Mohammed VI Foundation for Sciences and Health, Casablanca, Morocco
Computational screening of natural products as tryptophan 2,3-dioxygenase inhibitors: Insights from machine learning QSAR, molecular docking, ADMET, and molecular dynamics simulations Permalink
presentation at International Bioinformatics Conference IBC'2024, Hotel Solazur, Tangier, Morocco
Teaching
Hobbies and Interests
- Organizing community events
- Maintaining a personal blog
- Exploring AI tools and learning new skills
- Traveling and cultural exchange