À propos de 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.
Anglais
Bilingue ou natif
Français
Capacité professionnelle complète
Accepte de travailler sur site
Paris (jusqu’à 30 km)
Expériences
- INRAEDesign of an Industrial Simulation Strategy for Food & BioprocessingAGROALIMENTAIREdécembre 2020 - avril 2024 (3 ans et 4 mois)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)INDUSTRIE MATIÈRES PREMIÈRESdécembre 2020 - décembre 2023 (3 ans)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 TeamsHIGH TECHdécembre 2024 - Aujourd'hui (1 an et 6 mois)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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Formations
- Doctor of Philosophy - PhDUniversité Paris-Saclay2024Doctor of Philosophy - PhD
- Masters of Mechanical EngineeringUniversity of Bristol2020Masters of Mechanical Engineering