Luz Stella Gomez Fajardo
Data acquisition and machine learning
Sergio Arboleda University, Colombia

I became a physicist because I have an intrinsic curiosity about everything around me. Now I’m part of an international community of experts, and I work on data using machine learning within real big data ecosystems. But my passion goes beyond machine learning and big data just for physics puzzles. What I also enjoy is using technology to deal with a spectrum of complex problems that involve lots of data. We can face challenging issues in social sciences and applied fields, for instance, policy and government, measuring risk in financial sectors, doing diagnostic or tumor data analysis using DNA samples, seasonal pattern recognition in weather forecasting, detecting fake news and fraudulent transactions, and so on. I’ve found that the methods and skills gained during my career as a physicist are very useful in different contexts where problems are awaiting a solution. Machine learning and big data are currently the key in many of them.