About Billy
I work with foodtech and biotech startups to determine whether simulation earns its place alongside lab work, given their time and capital constraints.
This 30-day diagnostic involves:
- an assessment of the team’s goals, operating constraints, and existing capabilities,
- delivery of a Diagnostic Brief and a Rollout Brief to support a single, focused decision.
What I help teams decide
- Whether to invest in generalised off-the-shelf simulation software
- Whether to develop a precise internal simulation tool
- Or whether simulation represents the wrong path entirely
The diagnostic clarifies which option fits the team’s current constraints, and when that choice would need to change.
Typical high-stakes situations
- Evaluating a new simulation tool: funded R&D team considers a simulation platform that could unlock a key problem but would require a change in focus, tooling, or hiring.
- De-risking a technical pitch under time pressure: A company preparing for scale-up or investor discussions needs to assess whether simulation can credibly support its technical claims.
Happy to discuss fit and scope before committing.
English
Native or bilingual
French
Fluent
Can work on-site
Paris (up to 30km)
Experience
- INRAEDesign of an Industrial Simulation Strategy for Food & BioprocessingAGRICULTUREDecember 2020 - April 2024 (3 years and 4 months)Palaiseau, FranceIndustry-sponsored, greenfield project in food and bioprocessing. No established modelling workflow; multiple viable technical paths.Role
- Designed an end-to-end simulation strategy under industrial constraints
- Evaluated competing approaches to converge on a single, maintainable stack
Key trade-offs addressed- Commercial vs. open-source tools (cost, flexibility, lock-in)
- Eulerian vs. Lagrangian formulations (problem scale, physics fidelity)
- Particle-based frameworks (3–5 options identified, compared, and ranked)
- Local HPC vs. cloud computing (iteration speed, scalability, overhead)
- Out-of-the-box vs. internal post-processing tools (time-to-value vs. control)
OutcomeConverged on a fit-for-purpose simulation strategy aligned with known constraints, iteration speed, and long-term maintainability. - CARGILLApplied Simulation Workshops & Tool Alignment for Industrial Use Cases (via PhD project)RAW MATERIALS INDUSTRYDecember 2020 - December 2023 (3 years)Led recurring applied workshops over three years with an industrial-facing binomial (a food process engineer and a chemistry research fellow), focused on translating evolving simulation tools into practical, industry-relevant usage.Purpose
- Enable users to navigate and apply simulation tools to industrial contexts
- Clarify value-added use cases and limitations of available models
- Report on new capabilities and the removal of features that no longer align with constraints
How it worked- Averaged a bi-weekly cadence over ~3 years
- Mixed technical audience bridging food engineering and chemistry
- Continuous feedback loop between tool development and applied use
Outcome- Maintained a usable, interpretable toolchain aligned with industrial needs
- Added and filtered tools based on alignment
- Improved participants’ ability to apply simulation selectively and defensibly
- RoseWorksSimulation Strategy & Decision Support for Food & Biotech R&D TeamsTECHDecember 2024 - Today (1 year and 6 months)Paris, FranceRoseWorks was created as a technical environment for building, testing, and operating simulation workflows in food and bioprocessing contexts. The work is tactical and execution-focused, centred on implementing specific simulation setups.Role
- Designed and implemented simulation workflows intended for use in fast-moving food R&D settings
- Translated complex numerical methods into usable technical setups and tools for non-specialist teams
Work performed- Implemented continuum and particle-based simulation approaches for different classes of problems
- Built simulation tooling ranging from lightweight prototypes and demos to more integrated pipelines
- Developed post-processing and analysis workflows to make results interpretable and usable in practice
Outcome- Delivered operational simulation setups suitable for exploratory and applied R&D work
- Reduced friction between numerical methods and day-to-day engineering use
- Created reusable tooling and workflows supporting applied industrial contexts
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Education
- Doctor of Philosophy - PhDUniversité Paris-Saclay2024Doctor of Philosophy - PhD
- Masters of Mechanical EngineeringUniversity of Bristol2020Masters of Mechanical Engineering