Hilbert Kappen completed his PhD in theoretical particle physics in
1987 at the Rockefeller University in New York.  Since 2004 he is full
professor on machine learning and neural networks at the science faculty
of the Radboud University.

Hilbert Kappen conducts research on neural networks, Bayesian machine
learning, stochastic control theory and computational neuroscience. His
research has made significant contributions to approximate inference in
machine learning using methods from statistical physics; he has pioneered
the field of path integral control methods for solving large non-linear
stochastic optimal control problems and their relation to statistical
physics. 

Recently, his research focus has shifted to neuromorphic and quantum
computing.  He co-developed the atomic Boltzmann Machine, the world's
smallest neural network, where neurons are modelled as individual
atoms. He is developing path integral control methods as a new class of
variational algorithms for quantum state preparation. He is interested
in possible applications of quantum physics in the brain and the mystery
of consciousness.

He co-founded in 1998 the company Smart Research that develops
forensic software for DNA matching that is used worldwide.
See www.bonaparte-dvi.com