I am a passionate researcher and developer. I have learnt the intrinsic relation between mathematics and computer science presented in deep learning through earning a degree in both fields. Currently, I am working on my PhD on differential privacy and federated learning. The Python programming language is among my main interests, as it provides a neat starting point to develop and test new ideas. Furthermore, I dream a future of enhanced privacy, where many private data sources can be exploited without compromising the privacy of the data owners. Out of work time, I enjoy playing Keyforge card game and bringing new life to old devices using Linux distros.
RESEARCH INTERESTS
Differential Privacy, Machine Learning, Deep Learning
RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)