class BioinformaticsResearcher:
def __init__(self):
self.name = "Abdellah"
self.location = "Morocco 🇲🇦"
self.education = {
"current": "Master's in Biology & Health",
"focus": "Biomedical Science",
"next": "PhD in Bioinformatics & Computational Biology"
}
self.achievements = [
"US State Department Student Leaders Alumni",
"12-Month Bioinformatics Roadmap Creator",
"Molecular Dynamics Simulation Expert"
]
self.passion = "Biology, Aviation, Vexillology"
def current_focus(self):
return [
"🧪 Multi-omics Data Integration",
"🤖 Machine Learning in Biology",
"📊 Genomic Data Visualization",
"🔬 Reproducible Research Workflows",
"⚛️ Molecular Dynamics & Drug Design"
]📈 12-Month Bioinformatics Mastery Roadmap
gantt
title My Bioinformatics Learning Timeline
dateFormat YYYY-MM-DD
section Foundation
Linux & Command Line :done, phase1, 2024-01-01, 2024-01-31
Python Programming :done, phase2, 2024-02-01, 2024-02-28
Data Science Basics :active, phase3, 2024-03-01, 2024-03-31
section Core Skills
Genomics & NGS :phase4, 2024-04-01, 2024-06-30
Advanced Analysis :phase5, 2024-07-01, 2024-09-30
section Specialization
ML & Systems Biology :phase6, 2024-10-01, 2024-12-31
Completed Milestones:
- 🔄 Linux/Bash scripting proficiency
- 🔄 Python for bioinformatics foundation
- 🔄 Data science with NumPy/Pandas/R
- ⏳ NGS analysis pipeline development
- Multi-omics Integration: Combining genomics, transcriptomics, and proteomics data
- Machine Learning in Biology: Applying AI for biomarker discovery and drug development
- Molecular Dynamics Simulations: Protein-drug interactions and conformational analysis
- Structure-Based Drug Design: Virtual screening and lead optimization using Maestro
- Personalized Medicine: Pharmacogenomics and precision therapy approaches
- Systems Biology: Network analysis and pathway modeling
- Advanced NGS analysis pipelines
- Single-cell RNA-seq methods
- Deep learning for biological sequences
- Cloud computing for genomics (AWS/GCP)
- Enhanced sampling methods in MD simulations
- AI-driven drug discovery platforms
- 2024: Complete bioinformatics specialization
- 2025: Advanced research opportunities
- Future: Leading research in computational biology
- 🌍 Global Perspective: US State Department alumni bridging cultures through science
- 🎓 Academic Excellence: Pursuing cutting-edge research in computational biology
- ⚛️ Molecular Modeling Expert: Experienced with GROMACS and Schrödinger Maestro for drug design
- 🤝 Collaboration: Always open to interdisciplinary projects and research partnerships
- 📈 Growth Mindset: Currently on a 12-month intensive bioinformatics learning journey
- 🔬 Research Vision: Making biology more predictable through computational approaches
9-Month Bioinformatics Roadmap Progress
| Phase | Focus Area | Progress | Status |
|---|---|---|---|
| Phase 1 | Linux & Command Line (Months 1-2) |  |
🔄 In Progress |
| Phase 2 | Python Programming (Months 3-4) |  |
⏳ Upcoming |
| Phase 3 | Data Science & Stats (Months 5-6) | |
⏳ Upcoming |
| Phase 4 | Bioinformatics Tools (Month 7) | |
⏳ Upcoming |
| Phase 5 | Machine Learning & AI (Month 8) | |
⏳ Planned |
| Phase 6 | Integration & Portfolio (Month 9) | |
⏳ Final Phase |
⭐ Star my repositories if you find them helpful! ⭐