Summary
Shyaman Jayasundara is a computational biologist and PhD candidate in Computer Science at Purdue University with nine years of experience applying data science and engineering to genomics problems. He processes and interprets diverse next-generation sequencing data (scRNA-seq, Perturb-seq, ATAC-seq, CITE-seq) and builds reproducible pipelines that bridge research and production. Previously he co-founded a tech startup where he designed backend infrastructure, and has led NGS projects across Sri Lankan flora and fauna as well as metagenomic studies. As a graduate teaching assistant he communicates complex computational genomics concepts to students, complementing his hands-on research. Now a Computational Biology Co-op at Merck, he blends academic rigor (3.88 GPA PhD work) with practical industry impact. Colleagues describe him as equally comfortable tuning analysis pipelines, troubleshooting HPC systems, and mentoring junior researchers.
9 years of coding experience
6 years of employment as a software developer
B.Sc.(Hons) in Engineering, Computer Engineering, 3.90/4.00 (First class), B.Sc.(Hons) in Engineering, Computer Engineering, 3.90/4.00 (First class) at University of Peradeniya
St. Anne's College
Doctor of Philosophy - PhD, Computer Science, 3.88/4.00, Doctor of Philosophy - PhD, Computer Science, 3.88/4.00 at Purdue University