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Sudip Mondal, PhD

๐Ÿ‘‹Hi there, I'm Sudip

I am a Postdoctoral Research Fellow in the Department of Cancer & Genomic Sciences at the University of Birmingham, where I develop advanced computational and AI-driven approaches to analyse and integrate complex multi-omics datasets, including Proteomics, transcriptomics, and microbiome data.

My research focuses on applying statistical modelling, machine learning, and deep learning techniques to uncover biological mechanisms and identify causal drivers of complex diseases, with a particular emphasis on inflammatory bowel disease (IBD) and colorectal cancer. I work extensively with large-scale datasets, building scalable data pipelines and integrative frameworks to generate meaningful biological insights.

My work bridges computational biology, data engineering, and clinical research, with a strong emphasis on developing robust, reproducible, and scalable analytical frameworks for biomedical data.

๐ŸŒฑ Iโ€™m currently acquiring proficiency in various aspects of RNA-seq data analysis, single-cell analysis, multi-omics data integration, and the integration of machine learning (ML) and deep learning methodologies.

๐Ÿ’ž๏ธ Iโ€™m looking to collaborate on Computational Biology, ML research work.

๐Ÿ“ซ In my free time, I like cooking, driving, working at my house, and spending time with family and friends.

Education

Ph.D. (Tech) | Computer Science & Engineering - Computational Biology
University of Calcutta (collaboration with the Bose Institute ) | Kolkata, India

M.Tech | Information Technology
University of Calcutta | Kolkata, India

M.Sc | Computer Science
West Bengal State University | Kolkata, India

B.Sc (H) | Computer Science
University of Kalyani | Kalyani, India

Experience

  • Postdoctoral Research Fellow | University of Birmingham | England, UK | 2025 - till date
  • Skills: Python ยท Machine Learning ยท Integrative Omics Data Analytics

  • Research Scientist | Helmholtz Centre for Infection Research (HZI) | Germany | 2024
  • Skills: Python ยท SQL ยท Machine Learning ยท Public Health data analysis

  • Senior Associate | Cognizant Technology Solutions | India | 2022 - 2024
  • Skills: Pyspark ยท Python ยท SQL ยท AWS ยท Machine Learning ยท GitHub

  • Assistant Professor | Department of CSE, Siksha โ€™Oโ€™ Anusandhan University | Bhubaneswar | 2020 - 2022
  • Skills: Java ยท Python ยท Apache Spark ยท Machine Learning ยท Computational Biology ยท RNA-seq data analysis

  • Research Assistant | Department of CSE, University of Calcutta | Kolkata | 2016 - 2020
  • Skills: Python ยท Apache Spark ยท Machine Learning ยท Computational Biology ยท RNA-seq data analysis

  • Lecturer | Department of CSE, Acharya Prafulla Chandra College, West Bengal State University | Kolkata | 2015 - 2016
  • Skills: Data Structures ยท Databases ยท Cryptography

Publications

Google Scholar

Scopus

ORCiD