Model the process.
Connect unit operations, balances, equipment, utilities, and data.
I’m Katharina Julia Brenner, an industrial process modeler and bioengineer. I model mass, energy, equipment, utilities, cost, and risk.
Inputs → balances →
scenarios → decisions.
For research, biotechnology, and manufacturing teams.
Connect unit operations, balances, equipment, utilities, and data.
Test bottlenecks, scenarios, cost, and environmental impact.
Deliver a simulation, dashboard, or digital-twin prototype.
Experiment planning, data capture, calculations, dashboards, exports, and instrument integrations.
Contact me for Industrial process modeling · Custom laboratory software · Scale-up and facility decisions · Digital twins and AI · Research and technical collaboration
Explore services
I work across process design, bioengineering, mathematics, statistics, and implementation.
Process models, software, research, and public tools.
Inputs, unit operations, balances, utilities, economics, and scale — connected in one model.
Explore selected work →Plant-wide mass and energy balances from media preparation to packaged biomass.
Python workflow for time-dependent yield prediction and operating-point search.
Browser-based process simulation for flowsheets, mass and energy balances, equipment, economics, and scenario analysis.
Visit websitePublic platform for the Stanford × TUM × Berkeley bioeconomy hackathon.
S. cerevisiae simulator for batch, fed-batch, and continuous operation.
Calculates carrier surface, inoculum, expansion, Njs, shear limit, and harvest yield.
A tiny browser game I vibe-coded for fun: help Jumpy hop through a laboratory obstacle course.
Unit operations, utilities, equipment, economics, and data belong in one model.
I identify scale limits and compare design options.
Mechanistic thinking from unit operation to facility.
Mass, energy, time, cost, and uncertainty.
Interactive tools, digital twins, and interfaces.
Technical evidence for design choices.
Mathematics, statistics, and data science guide model structure, uncertainty, and validation.
Structure, optimization, and mechanistic reasoning.
Uncertainty, inference, and validation.
Data preparation, models, and implementation.
Process models, bioreactors, scale-up, and manufacturing.
Plant-wide mass and energy balances with four manufacturing scenarios.
Facilities, bioreactors, utilities, and bottlenecks.
Mechanistic models, data models, and AI.
Public models, tools, and analysis code.
Send the process, scale, data, and decision.