| 🎯 Current Role | 🎓 Education | 🌍 Location | 📈 Impact |
|---|---|---|---|
| Researcher (PhD) | PhD (ongoing) @ Loughborough University | England, UK 🇬🇧 | 100+ Students Trained |
|
🧬 Biological AI Systems research_focus:
- genome_scale_modeling: "Optimization & Visualization"
- healthcare_ai: "Clinical Decision Support"
- systems_biology: "Boolean Cancer Models"
- drug_discovery: "ML for Molecular Properties"📚 Education & Training
|
🎓 Academic Background SELECT institution, degree, field
FROM education
WHERE tamoghna_id = 'current'
ORDER BY year DESC;
-- PhD | Chemical Engineering | Loughborough (UK)
-- MSc | Biochemical Engineering | UCL (UK)
-- MSc | Data Science | UEA (UK)
-- BTech | Biotechnology | VIT (India)🏆 Achievements
|
mindmap
root((Tamoghna Das))
AI/ML Expert
Machine Learning
Deep Learning
Data vizulization
LLMs
Biotech Specialist
Bioinformatics
Genomics
Systems Biology
Educator
100+ Students
>94% Satisfaction
Content Creator
Technical Trainer
Researcher
PhD Student
Critical thinker
Innovation Leader
Problem Solver
🧪➡️📊 My Superpower: Translating complex biological phenomena into actionable data insights through cutting-edge AI/ML techniques
|
|
- 🎓 UKRI & Industry collab PhD Scholarship - Loughborough University
- 👨🏫 100+ Students Trained - Data Science & AI (>94% satisfaction rate)
- 🏆 Bio-Inspired Design Winner - Summer fest'16, India
- 🧬 Chem-a-Thon Winner - Chemical Hackathon, India
- 🌍 International Recognition - ICID Hackathon Buenos Aires 2018
- 🧪 Ginkgo Bioworks Challenge - Synthetic Biology Competition
| Project | Description | Technologies | Impact |
|---|---|---|---|
| 🧬 bench2bash-starter | Reproducible bioinformatics pipeline template | Snakemake, Docker, Conda | Foundation for research automation |
| 🤖 AI for Drug Discovery | ML models for molecular property prediction | Python, TensorFlow, RDKit | Accelerating pharmaceutical research |
| 📊 Genomics Data Pipeline | Scalable WGS analysis workflow | Galaxy, Nextflow, Python | Processing TB-scale genomic data |
| 🏥 Healthcare Analytics | ML for clinical decision support | Python, Scikit-learn, Flask | Improving patient outcomes |
- 🔭 Currently working on: AI-driven biological system optimization for my PhD
- 🌱 Learning: Advanced deep learning for protein structure prediction and Machine learning in computational biology
- 👯 Collaborating on: Open-source bioinformatics tools and educational content on AI in bioinformatics
- 🤔 Looking for help with: Scaling ML models for healthcare applications, food and nutrition
- 💬 Ask me about: AI/ML, Bioinformatics, Data Science, Python, Research methodology, content development and teaching
- 📫 Reach me at: tamoghnadas.12@outlook.com
- ⚡ Fun fact: I've taught students from 120+ countries and can debug both Python code and biological pathways! 🧬🐍
- 🧬 AI-Driven Approaches in Systems Biology: Bridging computational models with experimental data
- 🤖 Machine Learning for Genomics: From sequence analysis to functional prediction
- 📊 Data Science Education: Effective strategies for teaching complex concepts
- 🔬 Reproducible Research Pipelines: Best practices for bioinformatics workflows