Process Modeling & Machine Learning

The Process Modeling and Machine Learning team at the BPT is dedicated to pioneering advanced techniques for managing and interpreting biotechnological data. Our mission is to create state-of-the-art methodologies for:

  • Data Manipulation: Enhancing the extraction, transformation, and handling of complex biotechnological data.
  • Process Modeling: Developing detailed and accurate models that represent intricate biological processes.
  • Simulation and Prediction: Using models to simulate processes, forecast outcomes, and understand potential scenarios.
  • Optimization: Improving the efficiency and effectiveness of processes through sophisticated optimization techniques.

Currently, our primary focus is on upstream processes, which include the initial stages of biotechnological production, such as the production of mono clonal antibodies (mABs) and Adeno-associated viruses (AAV) capsids using perfusion processes. By leveraging our expertise in machine learning and computational modeling, we aim to drive innovation and provide cutting-edge solutions that address the unique challenges of upstream bioprocessing.

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