Dr. Miguel Angel Araque Caballero

- Design, implement and document an image-processing pipeline for a Germany-wide study on stroke. - Provide a robust and versatile workflow to manage data and serial brain scans from 600 patients. - Marry traditional computer-vision approaches, like registration and surface-based segmentation, with Deep Learning algorithms. - Advise clinicians and biologists on data analysis problems - Provide supervision for master and PhD students on data- and image-analysis topics.

Lecturer for the Structural and Functional Connectomics Course for PhD candidates, teaching: - Fundamentals of clinical imaging - Advanced image-processing algorithms - Data Analysis and Statistics

My responsibilities included: - Perform statistical analyses on multimodal imaging data for longitudinal studies on Alzheimer's Disease. - Establish machine-learning algorithms for prediction of clinical progression. - Write, present and communicate scientific findings at international conferences and scientific journals. - Instruct and supervise master and PhD students. - Liaise with national and international collaborators.

I did my PhD on a novel imaging modality: Optoacoustics. - Characterise ultrasound sensors with optoacoustic principles and for optoacoustic applications. - Develop of image reconstruction algorithms that incorporate the properties of the sensor. - Subject Matter Expert on ultrasound sensors: consult internally on sensor characteristics and employment. - Provide calibration services and application advice internally to other PhDs/PostDocs in their projects.

Sensor characterization and tomographic image reconstruction in optoacoustics.

Quantum Computing and low temperature physics