Ramakrishnan Srinivasan
Bioinformatician
Houston, Texas, United States
Summary
👤
Senior🎓
Top SchoolRamakrishnan Srinivasan is a bioinformatician with 12 years of experience bridging software engineering and translational genetics, currently focused on extracting pharmacologically actionable insights from high-throughput NGS and structuring clinical data to accelerate diagnosis. He has built and maintained large multi-omics resources such as the LinkedOmics portal for TCGA/CPTAC data and led development of a genotype–phenotype database for rare diseases and autism sequencing consortia. Equally at home in UNIX and backend code, he contributes to open-source k-mer tools and emphasizes code quality and reproducible pipelines for large cohort analyses. His background includes large-scale training at Infosys—teaching over 3,000 technical trainees—which informs his clear documentation and collaborator-first approach. Based in Houston, he combines deep domain knowledge in human genetics with pragmatic software practices to turn complex datasets into usable biological and clinical signals.
12 years of coding experience
7 years of employment as a software developer
Bachelor of Technology (B.Tech.), Bioinformatics, Bachelor of Technology (B.Tech.), Bioinformatics at Shanmugha Arts, Science, Technology and Research AcademyMaster of Science (M.S.), Bioinformatics, A, Master of Science (M.S.), Bioinformatics, A at NYU Polytechnic School of Engineering
English, Hindi, Tamil
Stackoverflow
279reputation
9kreached
8answers
6questions
Github Skills (19)
mer10
python10
bioinformatics10
k10
scripting9
file-management9
shell9
script9
sh9
cprogramming-language8
c-language8
matlab7
sql-server6
sql6
max6
Programming languages (12)
Github contributions (5)
dib-lab/khmer
Aug 2013 - Apr 2014
In-memory nucleotide sequence k-mer counting, filtering, graph traversal and more
Role in this project:
Back-end Developer
Back-end DeveloperContributions:22 commits in 7 months
Contributions summary:Ramakrishnan primarily focused on refactoring and improving the codebase by adding copyright headers to various Python and shell scripts, as well as C++ and MATLAB files. They also removed the shebang from Python files, indicating a focus on code standardization. These changes suggest the user was involved in maintaining the project's code quality and consistency, focusing on scripts and core functionality of the k-mer analysis tools.
memorysequencepythondnabioinformatics
RamRS/biostar-mod-templates
Mar 2018 - Apr 2021
Contributions:9 commits, 19 pushes, 1 branch in 3 years 1 month
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