I'm Muhammad Kabir
🎓 Associate Researcher in Bioinformatics & Machine Learning
📍 Lund, Sweden
🏫 Lund University – Biomedical Center (BMC)
I am a Associate Researcher working at the intersection of machine learning, bioinformatics, and computational biology.
My research focuses on developing advanced AI-driven methods to analyze complex biological data, particularly for:
- Disease-causing genetic variation analysis
- Protein and peptide prediction
- Precision medicine applications
I have a strong background in statistical machine learning, deep learning, and evolutionary computation, with a consistent track record of peer-reviewed publications and computational tool development.
🔬 I enjoy building theoretically sound and scalable ML models that solve real-world biological problems.
📫 Email: Muhammad.kabir@med.lu.se
- Bioinformatics & Computational Biology
- Machine Learning / Deep Learning
- Genetic Variations & Disease Prediction
- Protein & Peptide Prediction
- Bioimaging & Medical Image Analysis
- Machine Learning & Deep Learning for Biological Data
- Sequence-based Prediction Models
- Feature Engineering & Representation Learning
- Ensemble & Stacking Methods
- Genetic Variant Classification
- High-dimensional Biological Data Analysis
🔹 PON-P3 – Predictor for pathogenicity of amino acid substitutions
🌐 https://structure-next.med.lu.se/PON-P3/
🔹 Deep learning models for:
- Antimicrobial peptides
- Tumor-homing peptides
- Promoter and enhancer prediction
🔹 Multiple ML-based frameworks for protein and genomic sequence analysis
Associate Researcher
Lund University, Sweden (2026 – Present)
Postdoctoral Researcher
Lund University, Sweden (2023 – 2026)
Assistant Professor
University of Management and Technology, Pakistan (2020 – 2023)
⭐ Open to research collaborations, academic opportunities, and interdisciplinary projects