PhD student working in the intersection of data science, neuroimaging and neurology

• Teaching Assistant of Foundations of Data Science

Research and implement state-of-the-art computer vision pipelines for R&D research

• Planning and Execution of Data Science projects in the domain of Life Science
• Computer Vision end-to-end Production Computational Life Science solutions
• Robust AI development

Develop state-of-the-art Deep Learning pipelines for toxycology assesment from microscopy images

• Data processing & visualization
• Data integration & analysis pipelines
• Deep learning object detector models for cell detections
• GitLab CI/CD & Docker integration
• Development of internal interactive applications
• Inference models provided via API’s for internal applications

Conducted research to explore Deep Learning based decoders from EEG for grasp action detection in neurorehabilitation context

• Analyze and understand the state-of-the-art analysis in decoding EEG signals processing
• Implement, train and evaluate deep models with previously recorded EEG data to clasify

Develop Deep Learning algorithms for the assessment of Cardiac Valve motion on time-resolved Magnetic Resonance Images using

• Research state-of-the-art literature on cardiac MRI slice tracking and medical landmark detection
• Develop a valve tracking 3D-CNN algorithm to track based on heatmap regression
• Fit Gaussian models to achieve temporal smooth motion curves of the valves along the cardiac cycle
• Extracted several valve motion-related clinical parameters with high accuracy
• Reality check of model performance in large-scale datasets
• Analysis and clustering of automatic derived parameter for valve motion assesment from MRI
• Implemented an interactive visualization dashboard
• Assisted in eployment of the 3D CNN model into MRI scanner for predictive motion estimaiton model as Invention Disclosure

Assist on a wide range of IP-related tasks such as evaluation of internal inventions and patent applications

• Analysing Medical Technologies Patents, IP processes and monitor the competitor landscap
• Support of our IP Team to effective claim on competitors porfolio and protect internal inventions
• Medical Technologies Patent Research and claim on competitors porfolio