R&D, Process & Technology Development Leader | Reactive & Thermochemical Systems | Modelling, Validation & Scale-Up
Scientific and engineering work connecting molecular and reaction-level understanding with process development, pilot validation and industrial implementation.
I work at the interface of applied physical chemistry, chemical kinetics, thermodynamics, transport phenomena, reactor and process modelling, experimental development and industrial engineering.
My work focuses on converting scientific understanding and technical evidence into defensible development decisions: identifying governing mechanisms, selecting fit-for-purpose models, defining meaningful validation programmes, evaluating process performance and translating results toward pilot and industrial application.
Professional Website · Consulting · Selected Work · Research & Tools · Publications · LinkedIn
- Scientific and engineering problem definition
- Technology-development roadmaps and decision gates
- Process-concept and operating-window development
- Experimental and pilot-programme planning
- Evidence, uncertainty and technical-risk assessment
- Project-based scientific and technical leadership
- Combustion, emissions and reactive-flow systems
- Chemical kinetics and reaction-mechanism analysis
- Pyrolysis, gasification, reforming and syngas
- Biomass, biochar, residues and waste-to-X pathways
- Fuels, oils, desulfurization and hydrocarbon processing
- Heat, mass, species and reaction transport
- Zero- to three-dimensional reactor and process modelling
- Detailed and reduced chemical mechanisms
- Reactive-flow, heat-transfer and multiphase CFD
- Sensitivity, reaction-rate and transport-regime analysis
- Model-to-experiment comparison
- Pilot definition, validation and scale-up risk assessment
- Wastewater treatment and advanced oxidation
- Process-intensification assessment
- Hydrodynamic-cavitation applications within defined technical and intellectual-property boundaries
- Resource recovery and circular process concepts
- Energy and process integration
- Emerging-technology and performance-claims assessment
Public technical work is organised under five connected categories.
Mechanistic research, chemical kinetics, combustion science, soot and nanoparticle inception, complex reaction systems and exploratory scientific hypotheses.
Methods connecting molecular and reaction-level understanding with transport phenomena, reactor behaviour, experimental interpretation and engineering decisions.
Thermochemical conversion, fuels and oils, desulfurization, water treatment, process intensification, pilot systems and industrial technology development.
Technical assessments, decision-support frameworks, validation methods, scale-up approaches, reproducible calculations and non-confidential case studies.
Scientific publications, professional articles, explanatory resources, reproducible examples and structured technical communication.
Status: Tested screening framework
A Python framework for matrix-aware kinetic and process-level assessment of advanced oxidation processes in wastewater treatment.
It examines radical scavenging, oxidant utilisation, matrix effects, apparent kinetics, treatment-time estimates and selected engineering indicators.
System-specific application requires representative measurements and validation.
Status: Engineering diagnostic framework
A structured method for distinguishing intrinsic chemistry from mass-transfer, diffusion, adsorption, hydrodynamic and downstream-separation limitations in gas- and petroleum-stream desulfurization.
The framework supports bottleneck diagnosis, experimental planning, process comparison and technology-selection decisions. It is not presented as a universal process-performance predictor.
Status: Research reconstruction and screening framework
Cantera-based calculations and curated technical resources for biomass conversion, biochar, syngas, heat generation, residence-time effects and screening-level carbon-management assessment.
The repository provides a transparent development foundation rather than a validated feedstock-, particle- or reactor-specific industrial model.
Status: Scientific hypothesis and research prototype
A reproducible conceptual and mathematical framework investigating whether transient precursor association, finite persistence and stabilization can help bridge molecular chemistry and persistent nanoparticle inception.
The NDMS concept is testable but is not presented as an established universal physical state or nanoparticle-inception mechanism.
Historical work on reaction-rate analysis, sensitivity, reaction networks, mechanism reduction and adaptive chemistry is being re-derived as a modern Python and Cantera framework.
Planned modules include:
- mechanism audit and provenance;
- reactor-case and scenario management;
- reaction-rate and flux analysis;
- sensitivity and kinetic-control diagnostics;
- chemical reaction-network analysis;
- static and adaptive mechanism reduction;
- conservative state transfer;
- validation and applicability reporting.
Current maturity: controlled research reconstruction and benchmark validation.
The platform is not yet presented as validated public software or as evidence of demonstrated computational acceleration.
The standard development sequence is:
-
Define
Establish the system, objective, constraints, uncertainties and required decision. -
Formulate
Identify the governing chemistry, thermodynamics, transport phenomena and process interactions. -
Model
Select the simplest defensible analytical, kinetic, reactor, process or CFD model. -
Validate
Compare assumptions and results with measurements, balances, literature, benchmarks and predefined criteria. -
Translate
Convert the evidence into process requirements, pilot configuration, scale-up risk and implementation decisions.
The objective is not merely to demonstrate that a scientific or technological effect exists, but to determine whether it is reproducible, transferable and useful under defined conditions.
The consulting page translates suitable scientific and engineering capabilities into defined services, deliverables and engagement boundaries.
Principal service areas are:
- R&D and Technology Development
- Feasibility, Technology Assessment and Decision Support
- Process Development, Pilot Validation and Scale-Up
- Reactive, Thermochemical and Multiscale Modelling
- Sustainable and Environmental Process Systems
Selected support may include:
- R&D and technology-development planning;
- technical feasibility and evidence assessment;
- technology claims and literature review;
- process development and operating-window definition;
- experimental and pilot-validation planning;
- reactive, thermochemical and multiscale modelling;
- process-intensification assessment;
- scale-up and implementation-risk analysis;
- independent scientific and engineering review.
Potential engagements are assessed for technical fit, evidence availability, implementation value, confidentiality, intellectual-property boundaries and conflicts of interest.
GitHub provides the reproducible technical-evidence layer. The professional website connects this evidence with publications, selected work, consulting services and professional collaboration.
Python · Fortran · MATLAB · C/C++ · Jupyter Notebook
CHEMKIN · Cantera · detailed and reduced mechanisms · reaction-rate analysis · sensitivity analysis · reaction networks · mechanism reduction · adaptive chemistry
ANSYS Fluent · OpenFOAM · reactive-flow CFD · combustion modelling · species transport · heat transfer · turbulence–chemistry interaction · multiphase modelling · 0D–3D reactor simulation
Thermodynamics · reaction engineering · heat and mass transfer · transport phenomena · process calculations · validation · optimisation · pilot development · scale-up
Scientific publications · engineering reports · technical proposals · reproducible workflows · educational resources · data visualisation
This profile contains selected public and non-confidential scientific and engineering material.
It does not intentionally disclose:
- confidential client or employer information;
- proprietary operating data or equipment details;
- company-owned know-how;
- third-party software, mechanisms or documents without appropriate rights;
- unpublished collaborator material without consent;
- unverified industrial-performance claims.
Historical codes, figures, documents and models are reviewed for authorship, ownership, licensing, confidentiality, technical integrity and validation status before public release.