CogntivOS
Bioinformatics · Machine Learning & AI · Data Engineering — Baylor College of Medicine, Houston, TX
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). |
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| 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
- NAR
- Genome Biol.Systemic interindividual epigenetic variation in humans is associated with transposable elements and under strong genetic controlGenome Biology, 2023
- Transl. PsychiatryA machine learning case-control classifier for schizophrenia based on DNA methylation in bloodTranslational Psychiatry, 2021
- Genome Biol.