Daniel Lanza,  at CERN

Daniel Lanza


At CERN, the organization that does fundamental particle physics research, Daniel is working on developing and providing Big Data solutions that involve data analytics and machine learning techniques. During his two Degrees and two Masters, where he studied computer science, telecommunications, and Big Data, he’s was also interested in Evolutionary Computation, a field of knowledge where he has several publications. His responsibilities range from the deployment of Big Data tools to the development of machine learning algorithms.


Real-Time Detection of Anomalies in the Database Infrastructure using Apache Spark

At CERN, the biggest physics laboratory in the world, large volumes of data are generated every hour, it implies serious challenges to store and process all this data. An important part of this responsibility comes… Read more