Bioprocess Engineering
© TU Berlin/PR/Felix Noak
High Throughput Bioprocess Development


The High Throughput Bioprocess Develoment (HTBD) working group focus on automated methods and model-based bioprocess engineering. Our main aim is to to find optimal process conditions for biotechnological applications. To this aim, pipetting robots / liquid handling stations are combined with process models and machine learning approaches. By combining automation and modeling, highly complex tasks can be completed quickly and accurately that would not be possible manually.

A wide range of biotechnological process development from library screening to conditional screening under scale-down conditions is dedicated by the HTBD group. The development and application of mechanistic models represents a large part of the work of the HTBD group. In collaborations and especially in the KIWI-biolab project, hybrid models and machine learning tool are increasingly becoming the focus of our work. Developed models are used for process monitoring as well as for process control (Model Predictive Control). In addition to the model-based methods, the HT laboratory is the heart of this research group. In building up this laboratory, the HTBD group has gained great competences in automation, integration of laboratory equipment and software engineering. This knowledge is contributed to various projects and in the SiLA consortium.

Group Lead

The HTBD group is lead by Sebastian Hans, Katharina Paulick und Mariano Nicolas Cruz-Bournazou.

Katharina Paulick objective is to improve science and healthcare by promoting new technologies. ML and digitization is a challenge, especially in biological labs. She is expert in image recognition, visual microbial analytic and founder.
Mariano Nicolas Cruz-Bournazou  is an expert in the development and application of mechnistic bioprocess models. His research includes the accurate application of mechnical, data-driven and hybrid models, as well as their online calibration and application.
Sebastian Hans is engaged in the automation of bioprocesses, laboratory digitalization up to smart laboratories. The intelligent linking of models, laboratory devices and software are among his particular strengths.

Automation and digitization

Automation and digitization of biotechnological processes and laboratories is not an end in itself. It is the requirement for a successful transformation towards a green economy. At the latest with the start of the AutoBIO project in 2012, the HTBD Group has become one of the leading groups in this area in the field of biotechnology. Together with our partners, such as Siemens, DataHow, labforward or Düperthal, we work together on innovative digital solutions and case studies.  The HTBD laboratory, with its pipetting robots, integrated laboratory equipment and software solutions, provides an ideal ecosystem for the development and testing of sophisticated applications. The HTBD group has developed high competences to accompany or take every step of automation and digitalization. 

© Philipp Arnoldt


The HTBD - Groupe offers various lectures dedicated to the basics of our work. You can find an overview of our current courses here.

Model based automation and model predictive control

Model-based automation is the decisive step towards intelligent bioprocesses and smart facilities. We use mechanistic and data-driven models to map the bioprocesses and make predictions about the further progress. This knowledge is used for optimal online experimental re-design. The accuracy of our models is ensured by online adjustment of the model parameters, the precision of our forecasts by sensitivity analyses. All this is done in an automated environment where devices, calculation applications and data can communicate in a targeted manner. Using the latest machine learning tools, the process planning and execution of tomorrow is developed here and in projects like in the KIWI-biolab, MESSINA or AMADEUS.

© Dominic Simon

Opportunity / Thesis

Are you looking for a challenging thesis? We often have open topics! Send us your interests and strengths together with a short CV via email.

Running Projects

© TU Berlin/PR/Felix Noak


Project Partner: Boehringer Ingelheim Vienna
Robust adaptive model-based design of experiments for high throughput bioprocess development


Project Partner: C-Cis Sensors AG
Development of a high-throughput at-line glucose sensor

© TU Berlin/PR/Felix Noak


Project Partner: DataHow AG, labforward GmbH
Development of a platform for the automated robotic optimization of bioprocesses


development of a miniature multi-bioreactor system for the purpose of speeding up bioprocess development


Project Partner: Universtät Hildesheim, Universität Greifswald
Internationales Zukunfslabor für KI-gestützte Bioprozessentwicklung

© TU Berlin/PR/Felix Noak


Project Partner: Wacker Biotech
Model based Scale-Down experiments for a convertible high throughput screening framework


VLB: High Gravity Beer

Projet Partner: VLP Berlin
Development and Characterization of a fed-batch fermentation process for high gravity brewing

The Lab