Research
Research translated into systems people can inspect.
Scientific reasoning, computational methods, and practical implementation applied with rigor.
Research Translation
Research is useful when it becomes method, system, and workflow.
Pluri treats research as an implementation asset: a way to build systems that teams can inspect, test, and improve in real operating environments.
Research Pillars
Technical foundations that shape dependable systems.
Pluri’s research foundation connects scientific reasoning, search, workflow design, and human-centered evaluation.
Neuroscience and behavioral systems
Scientific reasoning, experimental workflows, and behavioral data methods inform how Pluri designs systems.
Search and retrieval
Knowledge access depends on trusted sources, meaningful ranking, visible retrieval behavior, and usable interfaces.
Algorithmic workflow design
Computational workflows turn specialized data and methods into repeatable technical systems.
Responsible AI implementation
Useful AI systems require human oversight, clear boundaries, validation, and workflow fit.
Publication Highlights
Selected technical and research contributions.
Selected publications provide context for the research, algorithm design, and workflow experience behind Pluri’s applied systems.
Zebrafish tumor graft transplantation to grow tumors in vivo that engraft poorly as single cell suspensions
Algorithm design and data analysis support for biomedical research.
View publication →Calcium dysregulation and compensation in cortical pyramidal neurons of the R6/2 mouse model of Huntington’s disease
StremeCoder-supported algorithm design and analysis workflows.
View publication →Repeated footshock stress induces an escalation of cocaine self-administration in male and female rats
Behavioral data processing with StremeCoder-supported workflows.
View publication →Implementation of a graphical Python editor in a rodent discrimination apparatus
Application of StremeCoder for accessible experimental workflow design.
View publication →Responsible AI
Research depth, applied with restraint.
Pluri emphasizes trusted sources, clear workflow design, validation, and human oversight. The goal is not to introduce AI everywhere, but to build systems where it can improve access, analysis, or decision support responsibly.
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Move research into use.
We help turn technical methods into systems people can inspect, test, and use.