Marie Curie Ph.D. Fellow: Advanced Learning Strategies For Spatio-Temporal Photonic Neural Networks.
CurrentFocused on photonic neural networks and advancing online learning strategies for spatio-temporalsystems. Spearheaded the construction of multiple semiconductor laser-based optical neural networkswith standard optical components, under the mentorship of Dr. Daniel Brunner. All parts of the neural networks (weights, nonlinearities) were realized in hardware including hardware-compatible training algorithms.My expertise encompasses optical alignment and imaging, fibers, spatial light modulators, laser technology, and optical amplifiers, optical spectrum analyzers. Proficient in instrument interfacing and eperimental setup automation using MATLAB, and Python (interfacing with C/C++), and adept in managing GHz bandwidths with tools like fast photodetectors, RF amplifiers, oscilloscopes, and arbitrary waveform generators. Skilled in applying complex optimization algorithms and machine learning techniques to optimize network performance
