Shortly

• I work at the Institute of Theoretical Physics, Wroclaw University.

• I am interested in particle, nuclear and computational physics. I am also an enthusiast of new computationals technologies such as Deep Learning.

• I am an author of publications in the following arxiv categories: hep-ph, hep-th, hep-exp, nucl-th, nucl-ex, physics.comp-ph, cond-mat.dis-nn, physics.flu-dyn, cs.lg, stat.ML

Current Projects I am involved in

• Deep Learning for neutrino interactions with nuclei
• Bayesian Neural Networks for Partial Differential Equations
• Deep Learning for Physics of Fluids
• Algebraic Structures for SuperGravity

Available Ph.D. or MSc. topics

A) Deep learning in Physics The project concerns studies and applications of deep learning methods in physics. Three directions of research are distinguished:

• Deep learning for neutrino interactions;
• Physics-informed, guided and inspired Neural Networks
• Teaching physics neural networks