Founder & Director
CurrentBuilding software products and providing consulting that connects engineering and pharmaceutical understanding with modelling, analytics and practical delivery.
About
About DRJS
Engineering depth, pharmaceutical insight and modern software
DRJS Software & Consulting Ltd is founded and directed by Dr David Slade, whose work spans pharmaceutical and process engineering, applied mathematics, first-principles modelling, data-driven AI, analytics and digital product delivery.
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Dr David SladeFounder & DirectorHow I think and build
Start from first principles, then use data where it adds power
I am passionate about understanding why a system behaves as it does. That means starting with the underlying physics, chemistry and engineering, then combining that understanding with data, statistics and AI to produce models that are both useful and explainable.
Much of my industrial work has sat in pharmaceutical and formulated-product development and manufacturing, where scientific credibility, uncertainty and operational consequences all matter. I favour visible assumptions, validated models and architectures that a future team can operate. The result may be a digital twin, an analytics workflow, an AI model, an API or a complete product, but it should always make the decision clearer and the underlying reasoning more transparent.
Education
PhD, Mechanical Engineering
University of Leeds, 2009–2013
Research in numerical simulation of thin liquid films and coating flows, including adaptive time and mesh methods, multigrid techniques and a parallel Navier–Stokes finite-element solver implemented in C++.
Applied mathematics and mechanical engineering foundations developed through pharmaceutical and chemical engineering applications.
Experience
Engineering research shaped by pharmaceutical industry delivery
A career translating first-principles models, industrial data and software into tools for product design, process development, manufacturing and better technical decisions.
DRJS Software & Consulting Ltd
Application engineering
CurrentDeveloping and applying mechanistic, hybrid and data-driven methods for intelligent processing, manufacturing and operational decision support.
Lead application engineering
Advanced analytics, process modelling and predictive-maintenance strategies for smart manufacturing in pharmaceutical and formulated-product industries.
Senior consulting and model development
Mechanistic model libraries, model-driven design and industrial projects across pharmaceutical product and process development, food, consumer goods and solids processing.
Industrial modelling
Analysis and development of spray-drying processes using mechanistic and computational modelling.
Research
Numerical simulation of complex free-surface flows using adaptive methods and parallel C++ finite-element software.
What that means for clients
Mechanistic understanding, data-driven insight and the software to connect them
First-principles and hybrid modelling
Mechanistic simulation, numerical methods, statistical learning, Bayesian updating, AI and rigorous model validation.
Software systems
Next.js, React, TypeScript, Python, FastAPI, PostgreSQL, APIs, cloud deployment and automation.
Technical strategy
Discovery, architecture, option assessment, production readiness and evidence-based decisions.
Communication
Technical writing, teaching, stakeholder workshops, design reviews and decision-focused presentations.
Selected public work
Research and industry contribution
Work with DRJS