Amal Thomas is a Principal Bioinformatics Software Engineer with a decade of experience building statistical methods and production-grade pipelines for integrative analysis of high-throughput sequencing data. She has led cloud-native NGS workflows and ML-driven QC at Gilead and 23andMe, reprocessing thousands of clinical samples and delivering cost-saving optimizations and reproducible Nextflow/Docker pipelines. Her PhD work produced a homology-independent algorithm for cross-species expression analysis, and she combines deep computational biology expertise with practical software engineering to bridge research and clinical development. Based in California, Amal is known for benchmarking toolchains to form consensus processing standards and for turning complex omics problems into automated, scalable solutions that continuously improve with data.
10 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computational Biology and Bioinformatics, Doctor of Philosophy (Ph.D.), Computational Biology and Bioinformatics at University of Southern California
Chavara Public School, Pala
Bachelor and Master of Technology (B.Tech + M.Tech), Biotechnology and Biochemical Engineering, Bachelor and Master of Technology (B.Tech + M.Tech), Biotechnology and Biochemical Engineering at Indian Institute of Technology, Kharagpur
Contributions:127 commits, 1 push in 1 year 3 months
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Amal Thomas - Principal Bioinformatics Software Engineer