About BayesShape
Marcel Lüthi (PhD)
Founder & principal consultant
I have over a decade of experience in developing methodologies for shape modelling and applying them in real-world scenarios, This has meant collaborating directly with hospitals, implant designers, and forensic teams on real reconstruction problems.
BayesShape is where that work continues, focused specifically on bringing full Bayesian inference — calibrated uncertainty, hierarchical models, JAX-speed fitting — to a field that has mostly stopped at point estimates.
- → Author of the Gaussian Process Morphable Models formulation
- → Co-Creator of the Scalismo library for statistical shape modelling
- → Co-Creator of the Dimwit library for Typed Tensor operations based on JAX
- → Creator of the WitDraw library for Bayesian inference (to be open sourced soon)
- → Applied work in medical implant design and forensic reconstruction
- → Extensive experience as lecturer for both university students and industry professionals