Division of Computational Biology and Biological Physics
Department of Astronomy and Theoretical Physics
phone: +46 46 222 46 49
fax: +46 46 222 96 86
Brunius v. 4
S-227 30 Lund
Machine learning for survival analysis, statistical evaluation methods.
Self-constructing neural networks.
Unbiased optimization in pre-processing of high-throughput experiments.
Publications at cbbp division.
Catmap, a software for annotation enrichment analyses.
Winner of the Science Student Union's Pedagogical prize 2019.
Lecturer and course responsible for fluid dynamics,
Lecturer in Introductory Quantum Mechanics,
Lecturer in Introduction to Artificial Neural Networks and Deep Learning,
Written course material in statistical physics and quantum mechanics, available through the Astronomy and Theoretical Physics department office.
Fundamental theoretical physics, FYTA12
Modelling and simulations, FYTA11
Systems biology, BNF079, lectures.
PhD and post-doc in high energy physics.
Publications in high energy physics.