Understand the whole process.
Translate unit operations, mass and energy flows, equipment, and data into one connected plant-wide model.
Industrial process modeling · Bioengineering · AI
I turn complex industrial processes into systems that scale.
I’m Katharina Julia Brenner—an industrial process modeler and bioengineer. I build quantitative, plant-wide models that help teams understand a process, de-risk scale-up, and make better facility decisions.
What I connect
Science → model →
decision → scale.
Industrial process models
Plant-wide simulation
Bioengineering
Digital twins
Process scale-up
TEA & LCA
Where I create value
From process uncertainty
to an industrial decision.
Bring me in when the science is promising, the system is complex, and the next scale-up decision needs a rigorous quantitative foundation.
See what matters before scaling.
Find bottlenecks, compare scenarios, and connect technical performance with facility, economic, and environmental outcomes.
Turn evidence into action.
Build simulations, digital twins, and decision tools that make the next engineering or investment choice clear.
Contact me for Industrial process modeling · Scale-up and facility decisions · Digital twins and AI · Research and technical collaboration
Discuss your process challenge
Selected stations
Places that shaped the work.
Now / Katharina
The person behind
the process.
I connect engineering depth with analytical clarity—moving between industrial process design, bioengineering, mathematics, statistics, and data science.
Currently
- Research
- PhD researcher at TUM, modeling industrial biomanufacturing systems.
- Building
- Plant-wide models, digital twins, and decision tools for process scale-up.
- Open to
- Industrial modeling projects, research collaborations, and technical ventures.
01 / Selected work
Things I’m
bringing to life.
Research, software, and community projects united by one idea: make complexity visible and useful.
Process architecture becomes tangible when vessels, utilities, controls, and people are designed as one system.
Image: UPSIDE Foods · EPIC facility ↗Cultivated meat process model
A transparent, process-wide model from media preparation through packaging—turning a scientific publication into an explorable bioprocess facility.
BioTA — Bioreactor Technical Analysis
An open workflow for predicting yield and exploring operating choices in cultivated-meat bioreactors—with time-dependent behavior and future CFD coupling in view.
Axion Process OS
A process-intelligence workspace for designing, simulating, and understanding biomanufacturing facilities—from flowsheet to techno-economics.
View repositoryAI Sovereignty & Bioeconomy
A public hub and command centre for a transatlantic hackathon connecting research, entrepreneurship, policy, and public value.
Visit the platform02 / Point of view
Industrial bioengineering is a whole-system challenge.
It needs people who can move between unit operations, facility infrastructure, process models, and the decisions they inform.
That is the space I work in: building transparent models of industrial production systems, identifying what really limits scale, and translating engineering evidence into tools people can use.
01
Understand
Mechanistic thinking from unit operation to facility.
02
Model
Mass, energy, time, cost, and uncertainty.
03
Build
Interactive tools, digital twins, and interfaces.
04
Translate
From technical evidence to better decisions.
Analytical foundation / 00
The model is only as good as its assumptions.
My earlier work across mathematics, statistics, and data science still shapes how I frame uncertainty, validate evidence, and decide what a process model should—and should not—claim.
Mathematics
Structure, optimization, and mechanistic reasoning.
Statistics
Uncertainty, inference, and evidence that survives scrutiny.
Data Science
From imperfect data to transparent, usable models.
03 / Publications
Engineering evidence
for scale.
Peer-reviewed work on industrial process architecture, bioreactor systems, scalable manufacturing, and the engineering evidence needed for better decisions.
2026
Featured publication · Frontiers in Nutrition
Decoding cultured meat manufacturing: a full process model to identify scale-up bottlenecks
A process-wide reference model integrating upstream and downstream operations, mass and energy balances, and scenario analysis for industrial cultured meat production.
02
Applied Food Research · 2026
Waste stream valorization in cultured meat manufacturing: Pathways toward circularity and sustainability
10.1016/j.afres.2026.101928
03
Future Foods · 2025
Bioreactor parameters and systems for cultured meat production
10.1016/j.fufo.2025.100796
04
Ernährungs Umschau · 2025
Technology and processes for cultivated meat: Fundamentals, challenges, and perspectives
10.4455/eu.2025.025
Industrial scale-up
Facility architecture, bioreactor strategy, utilities, bottlenecks, and realistic infrastructure requirements.
Process models & AI
Mechanistic and data-driven models that make process behavior visible, testable, and actionable.
04 / Open source
Models should be
explorable.
Public code, interactive engineering tools, reproducible figures, and experiments—seven repositories, all open to inspect.
01
archimedes-nexus-process-lab
Professional process-modeling studio for bioprocess design, equations, scale-up, and techno-economics.
JavaScript
02
cultivated-meat-process-model
Interactive industrial process model from media preparation through packaging.
JavaScript
03
perfusion
Reproducible analysis and publication figures comparing batch and perfusion scenarios.
Python
04
bioreactor
BioTA workflow for yield prediction, optimization, and future coupling to CFD models.
Jupyter
05
infrastructure_CellAg
Infrastructure models and source material for industrial cellular-agriculture systems.
Research data
06
stanford-tum-hackathon
Public platform for the Stanford × TUM × Berkeley AI Sovereignty & Bioeconomy Hackathon.
HTML
07
imputation
Machine-learning work on imputation in official statistics.
Research
github.com/katharina-brenner
06 / Contact
Process modeling · Scale-up · Technical collaboration
Working on a process
that has to scale?
Tell me what you are building, what is uncertain, and which decision the model needs to unlock.