With 14+ years of experience in data science, complex networks, and computational biology, I specialize in providing data-driven solutions across diverse domains like healthcare, life sciences, materials science, and enterprise AI. My passion is translating advanced research into real-world impact.

• IEEE Senior Member | IEEE CS Top 30 Early Career Professional
• 100+ peer-reviewed articles (h-index: 35) in top-tier journals (TNNLS, Pattern Recognition Letters, Nature Medicine, Nature, Cell, Science Immunology, and more)
• 17+ ML tools designed & deployed for actionable insights from big data
• DREAM Challenge wins | Kaggle Top 3% finisher | International partnerships & cross-disciplinary leadership

• Leadership: Team Building | Budget & KPI Management | Stakeholder Communication
• Deep Learning: CNN, LSTM, GNN, LLM Fine-tuning (LoRA, LoftQ, RAG, Multi-modality, SFT)
• AI Libraries: PyTorch, HuggingFace, PyG, scikit-learn, H2O, CrewAI, LangChain, Gradio, Streamlit
• Computational Biology: Regulatory genomics, network analysis, disease module identification
• NGS Analysis: RNA-Seq, single-cell multiomics, spatial transcriptomics, immunomics, metagenomics
• Bioinformatics Tools: Salmon, Kallisto, STAR, HiSAT2, RSEM, Seurat, Scanpy, Snakemake, and more
• Translational Medicine: Drug repurposing (COVID-19, AML, lung cancer), biomarker discovery
• Biomedical Applications: ML for sleep efficacy, glucose monitoring, and more

• Network Analysis: Pagerank, community detection, Cytoscape, Gephi, ggraph
• LLMs: LLAMA, GPT, Qwen (local & API)
• Programming: Python, R, C++
• Environments: AWS, GCP, HPC (LSF), Docker

• Predict-AML: Prognostic Tool for AML
• Drug Repurposing
• Harry Potter Book Writing via Multi-Agents

• Google Scholar: [https://scholar.google.com/citations?user=CfwEb1EAAAAJ&hl=en](Google Scholar)
• ORCID: https://orcid.org/my-orcid?orcid=0000-0003-1779-3150
• LinkedIn: https://www.linkedin.com/in/raghvendramall/

“Passionate about pushing the boundaries of machine learning and computational biology for societal benefit.”

Open to advisory/consulting roles — especially in generative AI and life sciences. Let’s build something impactful!