Nijenborgh 9, 9747 AG Groningen, NL
m dot biehl at rug dot nl
Room 5161.0584 Tel +31 50 363 3997
meikelbiehl at gmail dot com
Honorary Professor of Machine Learning, University of Birmingham
Center for Systems Modelling and Quantitative Biomedicine
Research:
Machine Learning and Computational Intelligence
Deep theory and algorithm development for neural networks
Learning Vector Quantization and Relevance Learning
Applications in life sciences, biomedical data, astroinformatics
Statistical Physics and Scientific Computing
Theory of neural networks, dynamics of machine learning processes
Monte Carlo simulations of complex systems
Disordered systems, non-equilibrium growth processes
Teaching:
Neural Networks and Computational Intelligence
Modelling and Simulation
Introduction to Machine Learning
Student Colloquium
March 27, 2024:
More than 3000 downloads of
March 2024:
Our contribution to the WSOM+ 2024
March 2024:
Our publication
April 2024:
The article
Any vacancies or available internships will be
announced properly through the usual channels and on this website.
"The Shallow and the Deep"
since its publication end of September 2023.
Interpretable Machine Learning in Endocrinology:
a Diagnostic Tool in Primary Aldosteronism
has been accepted for publication in the proceedings.
Investigating the aspect of asymmetry in brain-first
versus body-first Parkinson's disease
npj Parkinson's Disease 10: art. no. 74 (2024),
is available on-line (open access)
Forecasting relative returns for S&P 500 stocks using machine learning
Financial Innovation 10: art. no. 118 (2024),
is available on-line (open access)
Note that
I will not reply to unspecific requests or unsolicited
applications for internships, PhD positions etc.