Maximilià Serra Lasierra

Analysing and extending existing regime dependent causal discovery algorithms for the non-linear case. Such algorithms are of great importance both in the geosciences and in personalised medicine, where seasons and treatments may change the underlying data generating process.

Worked on the continuous development of the data pipelines to improve performance and scalability. Supported multiple research tasks on how to improve our model and its performance, specially under model drifting conditions.

Working on IoT solutions, from embedded hardware and software, to the analysis of the data we collected. Under the project "SmartSens", we have designed and manufactured a system that will enable safer and better sailplane winch launches. Working with a small team gave me the opportunity to get involved with all the aspects of our product.

Working on R&D projects with a focus on Embedded Systems. Combining the knowledge of different fields we are developing innovative and optimised products. My main focus is in a EU funded project UPTIME that will provide an integrated predictive maintenance solution. Thanks to the diversity of partners in the consortium I get insights in Data Analytics and Artificial Intelligence (AI) as well as the business case point of view.