Department of Diagnostic and Interventional Neuroradiology.

Dynamics of Brain Connectivity Lab

• Developed computational and quantitative algorithms for processing over 800k data points of fMRI data.

Oxford Machine Learning Summer School - MLx Health

• Engaged in rigorous 43 hours of coursework, 12 hands-on workshops, and a five-team-member collaborative project in healthcare at the distinguished Oxford Machine Learning Summer School, deepening the understanding of advanced ML concepts and methodologies.

Ondracek Lab

• Engineered and deployed a state-of-the-art real-time brain implant closed-loop system to identify and modulate sharp wave ripples associated with learning and memory in the brain with a success rate of more than 97% and a low latency of under 20ms.

• Facilitated and taught +50 tutorial lectures on Electromagnetic Theory and Digital Communications, enhancing +100 students´ understanding and engagement.

• Collaborated on four Signal Processing and Machine learning projects, contributing to developing innovative graduate dissertations.

• Managed Drive-Test processes for the Nokia H+ project, ensuring optimal network performance and quality of 50+ sites.

• Played a key role in post-processing data field analysis, delivering valuable insights and weekly reports for network optimization and enhancement to the vendor.

• Selected among the top 30 university students nationwide to engage in the prestigious R&D department´s annual internship program.
• Engaged in 70+ hours of RF and wireless engineering workshops, communication networks and research skills, and 150+ hours of practical experience in the network optimisation department.

• Completed a 240+ hour internship focused on RF, microwave, and CDMA components, gaining valuable experience through theoretical concepts and hands-on practice.
• Conducted weekly technical reports on network performance, maintenance and troubleshooting.