We design and implement software platforms and workflows for data analysis in Life Sciences R&D.

Ongoing research and software prototyping focuses on prognostic/predictive modeling on the basis of time series data. Specific interest is with combining numerical analysis and symbolic computation. Goal is model inference integrating observational data and underlying mechanistic/explanatory models.

Conceptual design and implementation (TRL 9) of proprietary technology:

✪ a computational vaccinology platform; licensed to a US-based biotech enterprise

✪ a knowledge graph platform; licensed to various European academic institutions

✪ an image analysis platform; licensed to a US-based knowledge provider

✪ a digital drug R&D platform; licensed to a European biotech enterprise

Custom technology solutions and applications:

✪  Data space configurations, covering from translational research initiatives to clinical studies

✪  Analysis workflows for identification of stratification biomarkers (chronic and acute clinical conditions)

✪  Integrated in-silico/experimental processes for drug positioning/repositioning