Research Associate in Signal Processing and Machine Learning
András graduated from the Faculty of Electrical Engineering and Informatics at the Budapest University of Technology and Economics, specialised in embedded systems.
His PhD topic focuses on exploiting CMOS single-photon avalanche diode (SPAD) line sensors in biomedical applications. He investigates how advanced features of SPAD line sensors can improve various spectroscopic techniques (e.g. time-resolved fluorescence spectroscopy, Raman-spectroscopy), and how such sensors can facilitate the combination of different modalities resulting in more efficient multi-modal detection. The result will be providing more detailed information on the biological and chemical structures and processes under investigation.