Department of Radiotherapy.

• AI and medical image analysis.

• Working with the Lund hearing science research group on a study on learning with VR.• Performed several types of cognitive tests on participants as well as MR scans.

• Optimizing FLAIR sequence for detection of epilepsy lesions at 7 T.• Analyzed several relaxation measurements on phantoms and participants in Python.

• Presented the programs of the Science Faculty, including Medical Physics, at education exhibitions.

• Deep learning approach to motion correction at 7 T. • Designed models in Python with TensorFlow and PyTorch to estimate rigid body transformation parameters which register two images.• Adopted deep learning to C/C++ libraries to work with the designed models. This was done to implement the model calculations on the 7 T scanner and avoid the use of a wrapper to Python.

• Working independently as a radiation safety technician at shifts on the weekends.• Responsibilities include radiation safety routines, troubleshooting drift disruptions, and alarm monitoring.• Developed GUIs using PyQt and data from Tango for alarm monitoring in the control room.• Wrote scripts in Python to analyze dosimeter data from staff.

• Worked as a math teacher for students who needed guidance with one variable analysis at Lund University.