Pharmaceutical formulation consulting

Smarter formulations. Fewer iterations.

Independent formulation scientist offering consulting services and AI-powered tools to accelerate extended release drug development — from first prototype to target dissolution profile.

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Release kinetics — live model fitting
Korsmeyer-Peppas
0.981
Higuchi
0.912
Weibull
0.847
First-order
0.703
Zero-order
0.512
Mechanism identified
Anomalous transport (n = 0.67)
Combined diffusion + erosion
6
Release kinetics models fitted simultaneously — Zero-order through Weibull
~60%
Reduction in prototype iterations when using model-guided composition suggestions
ER & IR
Tools support both extended and immediate release solid oral dosage forms
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About me

Formulation science meets applied AI

I'm a pharmaceutical formulation scientist with deep experience in extended release oral solid dosage form development. I work with biotech and pharmaceutical companies to design, troubleshoot, and optimize drug formulations — from early feasibility to commercial transfer.

NovadoseAI started as a personal toolkit — a set of scripts I built to apply release kinetics modeling more systematically to my own consulting work. I've since turned it into a suite of tools available to any formulation scientist who wants to bring more rigor to the prototype-to-target iteration cycle.

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Extended release matrix & reservoir systems — HPMC, wax, osmotic, and multilayer formulations
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Release kinetics & dissolution science — Higuchi, Korsmeyer-Peppas, f2 similarity, IVIVC
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Design of experiments — factorial, central composite, and D-optimal designs for formulation optimization
Full background →
AI-powered tools

Built on real pharmaceutical science

Formulation Development OptimizerAvailable now
Enter dissolution data from 2–5 prototypes. Automatic release model fitting identifies your mechanism. AI recommends the next composition with specific excipient amounts and a predicted dissolution profile.
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f2 Similarity CalculatorComing soon
Calculate f1 and f2 similarity factors for bioequivalence and formulation bridging. FDA/EMA guideline checks included.
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DoE AssistantComing soon
Generate factorial, central composite, and D-optimal experimental designs based on your excipient constraints and quality attributes.
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Shelf Life PredictorAvailable now
Arrhenius kinetics fitting across ICH stability conditions — predicts time to degradant specification failure at long-term storage temperature with activation energy and Q₁₀ calculation.
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Consulting services

When you need more than a tool

01
Formulation design & optimization
First-principles formulation design for ER matrix, reservoir, and osmotic systems. Excipient selection, prototype planning, and target profile development.
02
Dissolution troubleshooting
Root cause analysis for formulations failing dissolution specs. Kinetics modeling, mechanism identification, and composition adjustment recommendations.
03
Tech transfer support
Formulation documentation, process parameter translation, and dissolution method bridging for scale-up and site transfer programs.
Get in touch about consulting
From the blog

Writing on formulation science & AI

March 2026
What the Korsmeyer-Peppas n value actually tells you about your ER matrix
A practical guide to interpreting the release exponent — when n = 0.45 matters, and when it doesn't.
February 2026
Choosing the right HPMC viscosity grade for extended release tablets
K4M, K15M, K100M — how viscosity grade affects release rate, swelling kinetics, and which Higuchi kH values to expect.
January 2026
How I use AI to make formulation development more systematic
The tools I built to apply release kinetics modeling more rigorously — and why mechanistic grounding matters more than raw AI power.
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Ready to optimize your next formulation?

Start with the Formulation Development Optimizer — no account needed.

Try the tool free → Enquire about consulting