Summary
Chathura Gunasekara is a bioinformatics analyst and computational biologist with a Ph.D. in Computational Science and Engineering and over a decade of experience applying AI, machine learning, and cloud-enabled pipelines to large-scale epigenomic data. At Baylor College of Medicine he leads analyses of DNA methylation across diverse populations to illuminate how epigenetic variation and environmental exposures shape disease risk and inform personalized medicine. He has driven technology development such as the Agilent SureSelect CD Baylor Human CoRSIV Panel and contributed to numerous peer-reviewed studies, blending methodological rigor with practical assay design. Equally comfortable in Python and R, he bridges statistical genetics, data science, and software engineering to turn complex omics datasets into actionable biological insight. Based in Spring, Texas, he brings a rare combination of deep computational training and hands-on experimental interface that accelerates translational epigenetic research.
11 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD Computational Science and Engineering, Doctor of Philosophy - PhD Computational Science and Engineering at Michigan Technological University
Postdoctoral Training, Postdoctoral Training at Baylor College of Medicine
Bachelor's degree Computational Physics, Bachelor's degree Computational Physics at University of Colombo