Bert Kappen completed his PhD in theoretical particle physics in 1987 at
the Rockefeller University in New York. From 1987 until 1989 he worked
as a scientist at the Philips Research Laboratories in Eindhoven, the
Netherlands. Since 2004 he is full professor on machine learning and
neural networks at the science faculty of the Radboud University.
Bert 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 pioneerd
the field of path integral control methods for solving large non-linear
stochastic optimal control problems and their relation to statistical
physics. He also develops a medical diagnostic decision support system
to assist doctors with the diagnostic process in the emergency room of
the Erasmus Medical Center. He co-developed the world's smallest neural
network, where neurons are modelled as individual atoms.
Currently, he is investigating ways to use quantum mechanics for a new
generation of quantum machine learning algorithms and control methods
for quantum computing; 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 commercializes
applications of neural networks and machine learning. Smart Research
has developed forensic software for DNA matching used by the Dutch
Forensic institute (MH17 plane crash over Ukraine in 2014), Interpol,
the Spanish government for analysis of victims of the Spanish Civil War
and the Australian Police force. See www.bonaparte-dvi.com