BIOINFORMATICS · HPC · RESEARCH
Research software re-engineered for parallel processing.
Genetic-sequencing software re-engineered for parallel computation in Alzheimer’s disease research.BIOINFORMATICS + HIGH-PERFORMANCE COMPUTING
CLIENTTGen
ROLEBIOINFORMATICS + HIGH-PERFORMANCE COMPUTING
OUTCOMEPublished — international research
Research workloads required processing genetic-sequencing data at a scale and speed beyond the original implementation.
The work combined scientific requirements, software engineering, computational performance, and research reproducibility.
Results had to support a broader international research effort.
RESPONSIBILITY
What Mitch owned.
Adapted workloads for parallel high-performance computing
Worked across bioinformatics, code, data, and compute infrastructure
Contributed technical work used in published research
WHAT WAS BUILT
The working system.
Parallelized research softwareGenetic-data processing workflowsHigh-performance-computing executionResearch-oriented data pipelineTECHNICAL COMPLEXITY
What made it consequential.
Large scientific datasetsComputationally demanding algorithmsParallel processing and cluster executionResearch accuracy and reproducibilityPRODUCTION OUTCOME
A more computationally capable research workflow that contributed to internationally published Alzheimer’s research.
BioinformaticsData engineeringHPCParallel computingScientific softwareLinux
Harkins Theatres
BRING THE HARD PROBLEM
Put that project back on the roadmap.
Tell me what needs to work, where you’re stuck, and what the system has to fit.
Talk to Mitch