Data science is all about making sense of complex and heterogeneous datasets and revealing hidden patterns in the data. Having a sharp, inquisitive eye and a deep knowledge of the leading analytical tools are fundamental assets which, as a Senior Data Scientist at the EluciDATA Lab, I keep perfecting. I work in cross-domain projects ranging from industrial product and process monitoring to modelling of biomechanical properties and focus on techniques such as estimation, prediction and forecasting, context-based anomaly detection and integration of heterogeneous datasets. Are you facing a challenging issue on these topics? Let’s talk!
Expertises
- industrial AI and process health monitoring
- data-driven performance modelling
- context-aware process profiling
Work experience
I studied Biology and did a PhD and a post-doc in cognitive neuroscience, before quitting academia and going to the private sector. There I worked as a data scientist first in a large mobile gaming company and then as a consultant in data & analytics. I joined Sirris in 2018, where I found my sweet spot between academia and the private sector.
Studies
- MsC Biology – University of Lisbon – 2005
- PhD Cognitive Neuroscience - University of Amsterdam - 2014