CogntivOS

Bioinformatics · Machine Learning & AI · Data Engineering — Baylor College of Medicine, Houston, TX

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Children's Nutrition Research Center

Baylor College of Medicine

Houston, TX

I am a computational scientist with 10+ years of experience designing and deploying production-grade genomics pipelines, machine learning models, and AI-driven research tools. I currently work as a Bioinformatics Programmer/Analyst II at the Children’s Nutrition Research Center, Baylor College of Medicine in Houston, TX.

My research focuses on epigenomics — particularly DNA methylation, systemic interindividual variation, and the epigenetic basis of complex traits and disease. I am a co-developer of the Agilent SureSelect Baylor Human CoRSIV Panel and the Xtra DNAm Array with TruDiagnostic, two commercialized genome-scale methylation profiling products now in use across multiple labs globally.

I hold a Ph.D. in Computational Science and Engineering from Michigan Technological University and a B.S. in Computational Physics from the University of Colombo, Sri Lanka. My first-author publications appear in Genome Biology, Translational Psychiatry, and Nucleic Acids Research.

Alongside genomics research, I build scalable data infrastructure on HPC and cloud environments and have a growing portfolio of applied LLM and NLP systems for scientific research — including RAG-based literature QA tools and agentic bioinformatics pipeline orchestrators.

news

Jul 01, 2025 New paper published in Nucleic Acids Research: Mouse metastable epialleles are extremely rare (PMID: 40694849).
Oct 01, 2023 Received the Dr. Dennis M. Bier Award for Best Pediatric Nutrition Research Publication from Baylor College of Medicine.
Apr 01, 2023 Co-developed the Agilent SureSelect Baylor Human CoRSIV Panel launched — enabling cost-effective population-scale DNA methylation profiling, now in use across multiple labs globally.

selected publications

  1. NAR
    Mouse metastable epialleles are extremely rare
    Chathura J. Gunasekara and others
    Nucleic Acids Research, 2025
  2. Genome Biol.
    Systemic interindividual epigenetic variation in humans is associated with transposable elements and under strong genetic control
    Chathura J. Gunasekara and others
    Genome Biology, 2023
  3. Transl. Psychiatry
    A machine learning case-control classifier for schizophrenia based on DNA methylation in blood
    Chathura J. Gunasekara and others
    Translational Psychiatry, 2021
  4. Genome Biol.
    A genomic atlas of systemic interindividual epigenetic variation in humans
    Chathura J. Gunasekara and others
    Genome Biology, 2019