I am a computational biologist and data scientist working at the intersection of Artificial Intelligence, Multi-Omics Analytics, and Precision Medicine. My research focuses on developing scalable computational frameworks that integrate genomics, transcriptomics, metabolomics, microbiome, and clinical data to uncover disease mechanisms, identify biomarkers, and support translational healthcare research.

🧬 Multi-Omics & Systems Biology
Genomics • Transcriptomics • Metabolomics • Microbiome • Biomarker Discovery

🤖 Artificial Intelligence
Machine Learning • Deep Learning • Generative AI • LLMs • Explainable AI

🦠 Computational Biology
RNA-seq • Single-cell Analysis • Metagenomics • Multi-Omics Integration

🎗️ Precision Medicine
Cancer Genomics • Lynch Syndrome • IBD • Crohn's Disease • Translational Research

☁️ Data Science & Infrastructure
Python • R • SQL • AWS • Azure • Databricks • PySpark

Generative AI-assisted framework for synthetic transcriptomics generation using literature-guided biological priors and Large Language Models.

Machine learning workflows integrating transcriptomics, metabolomics, microbiome, and clinical datasets for biomarker discovery.

Development of predictive models for disease stratification using gut microbiome signatures.

Computational approaches for cancer prevention, risk stratification, and translational medicine.

• Generative AI for Biomedical Research
• Synthetic Omics Data Generation
• Multi-Omics Data Fusion
• Machine Learning for Healthcare
• Host-Microbiome Interactions
• Cancer Genomics
• Biomarker Discovery
• Precision Medicine
• Digital Health
• Translational Bioinformatics

Python R SQL PySpark Java Bash

RNA-seq scRNA-seq Metabolomics Metagenomics Metatranscriptomics Microbiome Analysis Pathway Analysis

Machine Learning Deep Learning Generative AI Large Language Models (LLMs) Statistical Learning

AWS Azure Databricks Apache Airflow Big Data Analytics

🧬 Urinary and Faecal Amino-Acids as Biomarkers for Colorectal Neoplasia in Lynch Syndrome

🦠 Early Risk Stratification of Late-Onset Sepsis in Very Preterm Infants by Intestinal Microbiota Profiling

🤖 Generative AI-Augmented Transcriptomic and Microbiome Analysis Across Inflammatory and Fibrotic Disease States in Crohn’s Disease

Interested in collaborations involving:

• Computational Biology
• Bioinformatics
• Multi-Omics Analytics
• AI for Healthcare
• Cancer Genomics
• Microbiome Research
• Translational Medicine
• Open Source Research Software

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📧 Email: sudipmondalcs@gmail.com

🏛️ Cancer and Genomic Sciences
University of Birmingham

🔗 LinkedIn: www.linkedin.com/in/sudipmondalcs

🎓 Google Scholar: https://scholar.google.com/citations?user=YOUR_ID

🆔 ORCID: https://orcid.org/YOUR_ORCID

🍳 Cooking • 🚗 Driving • 🏠 Home Projects • 👨‍👩‍👧‍👦 Family Time

Transforming multi-omics data into biological knowledge through AI.