Managing a small team of developers. Architect of EPFL Graph project (graphsearch.epfl.ch). In charge of redefining EPFL's approach to institutional data intelligence; helping create better data pipelines and data governance methodologies; developing machine learning and AI algorithms that generate more sophisticated insights and recommendations out of institutional data, and support decision-making at EPFL.

Advising EPFL presidency on the implementation of data governance strategy, policies, organisation, and technology.

After completing my PhD, I’ve created my own digital publishing consulting business. I’ve helped academic authors and publishing houses make a transition into the digital world, and become proficient in digital technologies. Areas of training included: interactive textbooks, internet marketing, social media marketing, and business analytics.

As a research scientist at EPFL, I've worked on the mathematical modelling of sound propagation and spatio-temporal auditory perception in humans.As a lecturer, I've taught the following courses:- Mathematical Principles of Signal Processing (Doctoral course)- Signal Processing for Speech, Audio, and Acoustics (Master course)- Statistical Signal Processing and Applications (Master course)

In this 3-month internship, I've used my Ph.D. work to improve the sound localisation capabilities of Phonak's hearing aids. This included both theoretical work and the development of a low-complexity algorithm, ready for real-time operation and integration into the device chips.