Science and technology translation
Turn technical detail, data, analysis, and emerging capability into a clear product, workflow, or strategy direction.
Consulting
Science and technology translated into useful products, workflows, and decisions.
For teams that need rigorous thinking across data, analysis, AI, operations, product judgment, and business reality without losing the practical thread.
What I help with
Make complex ideas usable.
The work usually sits between technical possibility and organizational reality: what the tool can do, what the team needs, and what has to change for it to matter.
Workflow and process judgment
Map how work actually happens, find the bottlenecks, and decide where tools or systems should change the process.
AI and implementation support
Make AI practical where it is useful, with prompts, agents, integrations, validation, and human review where needed.
Useful when
Where this kind of work fits.
Technical translation
A technical idea needs to become a product, workflow, or decision.
The work is not only explaining the technology. It is deciding what it changes, what it needs, and where it should not be used.
AI and workflows
A team wants to use AI without turning it into theater.
Useful implementation means prompts, agents, integrations, evaluation, governance, and human review where the work actually happens.
Data and judgment
A claim needs to survive contact with data, incentives, and adoption.
I help separate what is known, what is plausible, what can be built, and what people are likely to use.
Engagements
Ways to work together.
Advisory
Focused judgment on a project, product, workflow, or decision.
Useful when you need an outside view that can move between science, technology, operations, and business reality.
Implementation
Hands-on support for turning ideas into working processes.
Useful when the problem is not only strategy, but making the new workflow, tool, or operating habit real.
Translation
Turning complex material into language teams can act on.
Useful for technical narratives, data reviews, stakeholder explanations, and practical decision documents.
- 01
What are you trying to change?
- 02
Where is the complexity: technical, organizational, scientific, or commercial?
- 03
What decision or next step do you need to make?
- 04
What context should I understand before replying?