Sai Ramakrishnan is a Bioinformatics Scientist with over eight years of experience applying machine learning and advanced informatics to decode complex genomic data, particularly in cancer and kidney research. Based at Washington University in St. Louis, he designs custom pipelines and algorithms that reveal hidden patterns in cancer genomes and translate computational findings into actionable research decisions. His background includes developing genomic selection pipelines and high-throughput phenotyping platforms in plant science, reflecting a practical blend of wet-lab instrumentation and computational analytics. Sai holds a Master’s in Bioinformatics (3.87 GPA) and is skilled at turning large, noisy datasets into interpretable results that drive experimental direction, often leveraging AI techniques uncommon in traditional bioinformatics workflows.
8 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Bioinformatics, 3.22, Bachelor's degree, Bioinformatics, 3.22 at Shanmugha Arts, Science, Technology and Research Academy
Master’s Degree, Bioinformatics, 3.87, Master’s Degree, Bioinformatics, 3.87 at South Dakota State University
Contributions:13 releases, 18 pushes, 1 branch in 1 month
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