👋 Hi there! I'm Rabmit Das

🎓 Biologist | Computational Systems Biologist | Bioinformatics Enthusiast

I’m passionate about combining biology, computation, and systems modeling to understand complex biological processes and develop data-driven solutions. My current focus lies in multi-omics integration, microbiome–metabolome interaction, and machine learning applications in biological research.

🧬 About Me

🔭 Currently exploring Neural Networks and their applications in biology — from molecular interaction prediction to microbiome-based disease diagnostics.

💡 Interested in Mathematical modelling, multi-omics data integration, and biological network algorithms.

🧠 Fascinated by how biological systems compute — aiming to bridge biological neural networks and artificial intelligence.

🧪 Background: Postgraduate in Biological Sciences (Major) and Computer Sciences (Minor) from NISER, with research experience in microbiome analysis, metagenomics, and systems biology.

📊 Skilled in Python, R, QIIME2, metabolic modeling, and machine learning pipelines for biological datasets.

💞️ Open to collaborations on:

Biological neural networks & computational modeling

AI-driven biology and disease prediction

Multi-omics data analytics and visualization

🚀 Current Projects

🧫 Microbiome–Metabolome Interaction Analysis: Building predictive models for disease diagnosis using conserved microbial taxa.

🧮 Modelling Algorithms in Biology.

📚 Publications

• Das, R., De, A. J., Baidya, A. K., & Aich, P. (Under Review). MASLD at the Crossroads of Genetic Predisposition, Epigenetic Regulation, and Dietary Factors.

• Das, A., Das, R., Das, A., & Aich, P. (Under Review). Microbiome–Metabolome Signatures and Behavioral Alterations in a Progressive MPTP-Induced Mouse Model of Parkinson’s Disease.

🧾 Under preparation.

• Das, R., Mourouganad, P., & Aich, P. (Under Preparation). Comparative Machine Learning Analysis of Serum Metabolomics and Multi-Class Disease Discrimination: Implications for Proteome Metabolome Integration.

• Panda, S. S., Das, R., & Aich, P. (Under Preparation). Gut Microbiota–Metabolite Crosstalk Governs Host Physiological Adaptation: A Systems Biochemical Study.

🧩 Currently contributing as a data analyst on multi-omics and microbiome research articles.

🧰 Tech Stack

Languages & Tools: Python • R • Bash • QIIME2 • Pandas • Scikit-learn • TensorFlow • PyTorch • Linux

Domains: Bioinformatics • Computational Systems Biology • Multi-omics • Machine Learning • Network Biology

📫 Contact

📧 Email: [email protected]

💼 LinkedIn: https://www.linkedin.com/in/rabmit-das-782b17229/

🌐 GitHub Projects: Explore my repositories below to see what I’m working on!

“From conserved microbes to machine learning — I aim to decode biology through computation.”