Vienna, Vienna, Austria
Conducted a lab course of a signal and image processing undergraduate class of over 40 students
- Automated signal preprocessing, modeling and statistical analysis of high-dimensional EEG and fMRI data from over 1600 recordings - Designed algorithms for denoising electrophysiological signals with minimal information loss using digital filters to enhance the signal to noise ratio - Developed algorithms to determine the statistical dependence of EEG signals through coherence while reducing spurious correlations - Implemented a system identification model to enable the analysis of continuous stimuli from videos and separate time-overlapping responses in electrophysiological data - Improved classification of eye movements in videos using machine learning methods - Supervised a graduate student in the implementation of an image segmentation and classification network - Collaborated with a team of Neurologists to collect intracranial EEG and eye tracking data from epilepsy patients - Implemented behavioral experiments on online platforms to save cost of conducting electrophysiological studies - Disseminated work in peer-reviewed journal articles and international conferences on neurophysiology & computational modeling
- Designed a tissue phantom to validate a mathematical model of mechanical failure in blood vessels - Selected materials to match the mechanical properties of human tissue - Designed a novel polymer and wax casting procedure to fabricate silicone tissue phantoms - Implemented a mechanical testing procedure to validate properties of the phantom - Developed an optimization algorithm to determine stress in the phantom using Python scripting in the Abaqus FEM software
- Analyzed the mechanical properties of tissue engineering structures to optimize fabrication in order to improve viability of cells - Fabricated hydrogel structures utilizing a femtosecond laser inducing two-photon polymerization - Measured expansion and stiffness using laser-scanning-microscopy and atomic-force-microscopy
- Collaborated with a team of 12 tutors to prepare exercise, homework and exam problems for a class of programming in python for 500 students