Dr. Paul von Bünau
Managing Director (CEO)
paul.buenau@idalab.de
+49 173 24 16 000
Biography
Dr. Paul von Bünau is Managing Director (CEO) of idalab, a consulting company for artificial intelligence in life science and healthcare. Since 2013, he has supported numerous biotech, medical device and pharma companies on how to move forward with artificial intelligence.
A mathematician by training, Paul’s focus today is on strategic advice around AI technology. Starting from big picture questions (what does it mean for us?) and building sustainable momentum (where to start? how to move beyond experimentation?) to innovation portfolio management, organisation, due diligence and investor communications.
He lives in Berlin with his partner Louise East and two sons.
Background PhD Machine Learning with applications in Neuroscience (TU Berlin), M.Sc. Pure Mathematics (Uni St Andrews), B.Sc. in Computer Science with Mathematics and Physics (Uni Potsdam).
Selected engagements
⸺ Building a data/AI innovation unit for a global medical device manufacturer
⸺ Accelerating European market access for healthcare technology using generative AI
⸺ Supporting a clinical stage biotech in getting their ML/AI stack ready for IPO
⸺ Organisational transformation: from data warehouse to data product team
Teaching
Foundations of AI Strategy at European New School of Digital Studies, European University Viadrina Frankfurt (Oder). Winter semester 2024/2025
Publications (selection)
A standardized clinical data harmonization pipeline for scalable AI application deployment (FHIR-DHP): Validation and usability study
E Williams et al.
JMIR Medical Informatics 11, 2023 link
Predicting success of phase III trials in oncology
S Hegge et al.
medRxiv, 2020 link
A mathematical model for the two-learners problem
JS Müller et al.
Journal of Neural Engineering 14 (3), 2017 link
Towards an unsupervised adaptation of LDA for Brain-Computer-Interfaces
C Vidaurre et al.
IEEE Transactions on Biomedical Engineering, 2010 link
Finding stationary subspaces in multivariate time series
P von Bünau et al.
Physical Review Letters 103 (21), 2009 link