I am a biochemist, computational biologist, and founder of Genoproteomics — a precision medicine venture bridging multi-omics, structural biology, and AI. My research sits at the intersection of graph neural networks, single-molecule biophysics, and cancer genomics, with a focus on building interpretable, publication-quality tools for complex biological systems. I am passionate about open science, mentorship, and advancing computational biology.
- 🔭 I'm currently working on OmicsGraphNet — a multi-omics PTSD classifier using graph attention networks.
- 🌱 I'm currently learning PyTorch Geometric, Snakemake, and scRNA-seq analysis pipelines.
- 🧬 Research interests: Structural Biology of Translational GTPases · Multi-Omics Cancer Genomics · Graph Neural Networks · Drug Discovery · Single-Molecule FRET
- 👨💻 All of my projects are available at Genoproteomics.
- 🤝 Affiliations: Gulf Coast Consortia (Steering Committee) · University of Houston · Genoproteomics
- 🏆 Lead/single author on publications in computational chemistry, cancer genomics, and bioinformatics (EuroBiotech Journal, APL Machine Learning, and more).
- ⚡ Hobbies: When I'm not at the bench or the terminal, I can be found exploring music production, watching science documentaries, reading about the history of molecular biology, or working on creative visual projects.
- 🌏 Originally from Bangladesh, based in Houston, TX.
- 🌐 More about me: LinkedIn · ORCID
| Category | Tools |
|---|---|
| Languages |  Python ·  R · Bash · SQL |
| ML / DL | PyTorch · PyTorch Geometric · TensorFlow · scikit-learn · HuggingFace Transformers |
| Bioinformatics | Seurat · Scanpy · DESeq2 · STAR · GATK · Snakemake · Nextflow |
| Omics & Proteomics | Waters UPLC-QDa · MassLynx · MaxQuant · STRING · Cytoscape |
| Data Science | Pandas · NumPy · Matplotlib · Seaborn · Plotly · Jupyter |
| DevOps |  Git ·  Docker · GitHub Actions · Conda |
| Cloud / HPC | SLURM · AWS (S3/EC2) · Google Colab |
| Structural Biology | PyMOL · GROMACS · AMBER · AlphaFold2 |
| OS |  Ubuntu · macOS |
- 🔬 OmicsGraphNet — Knowledge-enhanced graph attention network for multi-omics PTSD subtyping (manuscript in preparation).
- 🧠 DeepOmicsNet — Graph attention network for multi-omics cancer subtyping using TCGA data.
- 🧬 RNAview — Python package for RNA structure visualization (submitted to JOSS).
- ⚗️ ReactionForge — Temporal graph network for reaction prediction (submitted to ACS Central Science & AI Chem).
- 🤖 ProteinFunctionTransformer — Protein function prediction with pretrained transformers (accepted, EuroBiotech Journal).